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# ![@DevopswithAI Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1959552472583991297.png) @DevopswithAI DevopswithAI

DevopswithAI posts on X about ai, core, events, cloud the most. They currently have [-----] followers and [---] posts still getting attention that total [-------] engagements in the last [--] hours.

### Engagements: [-------] [#](/creator/twitter::1959552472583991297/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1959552472583991297/c:line/m:interactions.svg)

- [--] Week [------] -34%
- [--] Month [-------] -17%

### Mentions: [--] [#](/creator/twitter::1959552472583991297/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1959552472583991297/c:line/m:posts_active.svg)


### Followers: [-----] [#](/creator/twitter::1959552472583991297/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1959552472583991297/c:line/m:followers.svg)

- [--] Week [-----] +11%
- [--] Month [-----] +136%

### CreatorRank: [-------] [#](/creator/twitter::1959552472583991297/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1959552472583991297/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  [stocks](/list/stocks)  [celebrities](/list/celebrities)  [finance](/list/finance)  [countries](/list/countries)  [social networks](/list/social-networks)  [vc firms](/list/vc-firms)  [products](/list/products) 

**Social topic influence**
[ai](/topic/ai), [core](/topic/core) #2160, [events](/topic/events) #2122, [cloud](/topic/cloud), [lambda](/topic/lambda), [alerts](/topic/alerts), [flow](/topic/flow), [azure](/topic/azure), [build a](/topic/build-a), [ip](/topic/ip)

**Top accounts mentioned or mentioned by**
[@devopsnk](/creator/undefined) [@grok](/creator/undefined) [@jaydeepkarale](/creator/undefined) [@elonmusk](/creator/undefined) [@_jaydeepkarale](/creator/undefined) [@clovistb](/creator/undefined) [@karanjagtiani04](/creator/undefined) [@aravind81995](/creator/undefined) [@brankopetric00](/creator/undefined) [@shayslay](/creator/undefined) [@cbdoge](/creator/undefined) [@codetocloudxx](/creator/undefined) [@nalinrajput23](/creator/undefined) [@eopore](/creator/undefined) [@siriussec](/creator/undefined) [@gaelelan101](/creator/undefined) [@umeshdigital](/creator/undefined) [@kukicola](/creator/undefined) [@navneet_rabdiya](/creator/undefined) [@sanderssays](/creator/undefined)

**Top assets mentioned**
[Cloudflare, Inc. (NET)](/topic/cloudflare) [Alphabet Inc Class A (GOOGL)](/topic/$googl)
### Top Social Posts
Top posts by engagements in the last [--] hours

"@sanderssays @G2dotcom @Benioff A2A and MCP will be the GameChanger in AI"  
[X Link](https://x.com/DevopswithAI/status/1983209858200400172)  2025-10-28T16:30Z [--] followers, [--] engagements


"@brankopetric00 Exactly Memory should always be managed with proper alerts. And since Redis isnt meant for long-term storage its key to plan periodic cleanups and eviction strategies ahead of time"  
[X Link](https://x.com/DevopswithAI/status/1983746514582417577)  2025-10-30T04:03Z [--] followers, [---] engagements


"Most people said AI will replace DevOps but the fact is: Number of deployments increased πŸš€ Infra provisioning increased ☁ Monitoring complexity increased πŸ“Š Automation pipelines expanded πŸ€– Security & compliance checks grew πŸ” Incident management got faster but denser ⚑ AI didnt replace DevOps it made it evolve. Whats your take on this πŸ‘‡ #DevOps"  
[X Link](https://x.com/DevopswithAI/status/1984117765045940380)  2025-10-31T04:38Z [--] followers, [--] engagements


"@itsZafeer Good Start"  
[X Link](https://x.com/DevopswithAI/status/1984135740276744391)  2025-10-31T05:49Z [--] followers, [--] engagements


"Docker vs Kubernetes"  
[X Link](https://x.com/AIAgentsOps/status/1984474537359261705)  2025-11-01T04:16Z [--] followers, [--] engagements


"@_avichawla Is it same as A2A or any other new feature it's having"  
[X Link](https://x.com/DevopswithAI/status/1984513634643677452)  2025-11-01T06:51Z [--] followers, [--] engagements


"Did you know you can launch an entire AI Agent from AWS Lambda with zero servers ⚑ Lambda isnt just for automation it can literally run your AI logic. πŸ”Ή Call OpenAI Bedrock or LangChain endpoints πŸ”Ή Handle tool execution (DBs APIs storage etc.) πŸ”Ή React to events (like file uploaded auto-summary store in DynamoDB) Youre not just triggering functions Youre triggering intelligence. πŸ€– #AWS #Lambda #AI #Serverless #Agents"  
[X Link](https://x.com/DevopswithAI/status/1984851898092949722)  2025-11-02T05:15Z [--] followers, [--] engagements


"@Shay_Slay_ A meaningful journey to every Destination"  
[X Link](https://x.com/DevopswithAI/status/1984867875539337571)  2025-11-02T06:19Z [--] followers, [--] engagements


"How do you prefer deploying workloads on Kubernetes - using Helm Kustomize or manually Curious to know your take and why. #LLM #Kubernetes πŸš€ Helm Charts The Kubernetes Package Manager You Cant Ignore Tired of kubectl apply chaos Helm turns your YAML jungle 🌳 into reusable versioned packages πŸ“¦ πŸ’‘ Why Helm matters: Simplifies app deployment with templates Manages complex releases easily (helm upgrade πŸš€ Helm Charts The Kubernetes Package Manager You Cant Ignore Tired of kubectl apply chaos Helm turns your YAML jungle 🌳 into reusable versioned packages πŸ“¦ πŸ’‘ Why Helm matters: Simplifies app"  
[X Link](https://x.com/DevopswithAI/status/1985207173173969105)  2025-11-03T04:47Z [--] followers, [--] engagements


"Are you still spinning up full apps just to handle API calls Try API Gateway + Lambda - serverless scalable and saves hours of ops work πŸš€ πŸ‘‡ Heres why this combo just makes sense πŸ‘‡ #AWS"  
[X Link](https://x.com/DevopswithAI/status/1985209518293139779)  2025-11-03T04:56Z [--] followers, [--] engagements


"Your app is fast Until your database becomes the bottleneck. 😩 Thats where Redis comes in. ⚑ πŸš€ Cache responses πŸ’¬ Manage sessions πŸ“Š Power queues & leaderboards In EKS just add Redis (via Helm or ElastiCache) and watch latency drop from 100ms 2ms. Speed isnt a feature its the user experience. πŸ’‘ #Redis #Kubernetes #EKS #DevOps #LLMs"  
[X Link](https://x.com/DevopswithAI/status/1985785359742222540)  2025-11-04T19:04Z [--] followers, [---] engagements


"πŸ’‘ DevOps Interview Scenarios - Part [--] (Real-World Questions & Answers) Scenario 10: You see a Kubernetes pod stuck in Pending state. Whats your next move Scenario 11: Your Docker image keeps getting bigger after every build. Why is that happening 🐳 Scenario 12: Your Terraform deployment fails due to state file corruption. How do you recover πŸ‘‡ Check below for the answers. #DevOps #AWS #GitHub"  
[X Link](https://x.com/asynctrix/status/1986418319071879438)  2025-11-06T13:00Z [----] followers, [--] engagements


"Answers πŸ” Scenario 10: βœ… Check node capacity kubectl describe node βœ… Verify taints & tolerations βœ… Check storage class / PVC binding βœ… Review network policies / quotas Scenario 11: βš™ Old layers not cleaned up 🧹 Run docker system prune 🧱 Optimize Dockerfile combine RUN commands use multi-stage builds Scenario 12: πŸ”Ή Use remote backend (S3 + DynamoDB lock) for Terraform state πŸ”Ή Restore from backup (Terraform Cloud or versioned S3) πŸ”Ή Run terraform refresh to rebuild state from infra Which of these issues have you run into in real projects https://twitter.com/i/web/status/1986418321865253050"  
[X Link](https://x.com/asynctrix/status/1986418321865253050)  2025-11-06T13:00Z [----] followers, [--] engagements


"Create API Without Code in AWS πŸš€ API Gateway is the best mix of no-code + low-code in AWS. You can: --Build mock APIs without code --Add logic later with Lambda --Store data using DynamoDB Its how you move from idea working API fast πŸ’¨ #AWS #DevOps"  
[X Link](https://x.com/AIAgentsOps/status/1986660377623732243)  2025-11-07T05:01Z [--] followers, [--] engagements


"How do you maintain chat memory persistence across pods in your chatbot architecture Using Redis database or something else #LLMs #AI #chatbots"  
[X Link](https://x.com/AIAgentsOps/status/1986759857228357652)  2025-11-07T11:37Z [--] followers, [--] engagements


"πŸš€ DevOps Interview Prep - Real Questions & Answers (2025 Edition) 🧩 Q1. Walk me through your current project architecture and your role in it. In my current project we manage a microservices-based application deployed on AWS EKS (Kubernetes). Tech stack: Infrastructure: Terraform CI/CD: Jenkins Version Control: GitHub Containerization: Docker Orchestration & Packaging: Kubernetes Helm My role: Managing CI/CD pipelines and automating deployments Monitoring with Prometheus and AWS CloudWatch Handling IAM S3 backups and cost optimization on AWS Resolving infrastructure-level issues and"  
[X Link](https://x.com/AIAgentsOps/status/1986801214152143002)  2025-11-07T14:21Z [---] followers, [---] engagements


"🧱 Q6. Whats the difference between Deployment and StatefulSet in Kubernetes Deployment For stateless apps like web or API services StatefulSet For stateful apps like databases (MongoDB Redis) Key Differences: πŸ”Ή Pod Names: Deployment Random pod names StatefulSet Fixed & predictable pod names πŸ”Ή Storage: Deployment No PVC by default StatefulSet Uses PersistentVolumeClaims (PVCs) πŸ”Ή Scaling: Deployment Easy stateless scaling StatefulSet Maintains pod identity during scaling βœ… Examples: Frontend Deployment MongoDB / Redis StatefulSet"  
[X Link](https://x.com/AIAgentsOps/status/1986801217692139583)  2025-11-07T14:21Z [--] followers, [--] engagements


"@sandro_vol Nice Monitoring and eventdriven tools always has strong demand"  
[X Link](https://x.com/AIAgentsOps/status/1986836944081592605)  2025-11-07T16:43Z [--] followers, [--] engagements


"πŸ’§ Amazon S3 The Heart of AWS Storage If the interviewer asks Can you explain Amazon S3 and its key features Heres how to answer naturally and confidently πŸ‘‡ πŸͺ£ [--]. Buckets & Objects S3 stores data as objects inside buckets. Think of a bucket as a folder and objects as fileslike photos logs or backups. πŸ‘‰ Start by creating a bucket. πŸ” [--]. Replication Replication automatically copies data between buckets within the same region or across regions for disaster recovery or compliance. πŸ‘‰ Ensures data durability and high availability. πŸ”’ [--]. Object Lock Object Lock prevents files from being deleted"  
[X Link](https://x.com/AIAgentsOps/status/1987020399566086439)  2025-11-08T04:52Z [--] followers, [--] engagements


"βš™ Amazon EFS Shared Storage Simplified 🟒 Multiple EC2s. 🟒 Multiple Availability Zones. 🟒 One shared file system. Thats the magic of Amazon EFS ✨ Elastic File System = πŸ”Ή Shared storage πŸ”Ή Auto scaling πŸ”Ή Cross-AZ availability πŸ”Ή NFS compatible No manual setup no syncing headaches. Just mount and go. πŸ’Ύ -- Ever used EFS in production How did you handle permissions and mount performance πŸ‘‡ #AI #AWS"  
[X Link](https://x.com/AIAgentsOps/status/1987036727907913745)  2025-11-08T05:57Z [---] followers, [---] engagements


"🧡 A2A The Backbone of Agentic Communication Ever wondered how AI agents actually talk to each other Thats where the A2A (Agent-to-Agent) Protocol comes in. πŸš€ Lets decode it πŸ‘‡ Hey @X lets make this post reach AI Enthusiastic. #AI #A2A #buildinpublic #letsconnect #tech @grok"  
[X Link](https://x.com/AIAgentsOps/status/1987149490684633117)  2025-11-08T13:25Z [---] followers, [---] engagements


"@sama safe superintelligence πŸ‘"  
[X Link](https://x.com/asynctrix/status/1987239461785378940)  2025-11-08T19:23Z [---] followers, [--] engagements


"βš™ With A2A Agents Dont Compete They Collaborate When AI agents speak a common language everything changes. The A2A Protocol provides standardized methods & data structures - so agents can communicate seamlessly no matter how theyre built. 🀝 Each agent does its part shares structured info and the AI Assistant (Orchestrator) brings it all together 🧩 Result A single cohesive answer - built from multiple intelligent systems. πŸš€ Thats the power of A2A interoperability. Hey @X algo #Connect & RT to share this A2A multi-agent hack. [--] Why A2A πŸ”— Interoperability - Agents from different systems"  
[X Link](https://x.com/AIAgentsOps/status/1987416277175222418)  2025-11-09T07:05Z [---] followers, [--] engagements


"@grok @cb_doge Id say comedy. If AI can land good humor and timing everything else becomes easy. Comedy is the hardest test of real understanding"  
[X Link](https://x.com/AIAgentsOps/status/1987549643098783770)  2025-11-09T15:55Z [---] followers, [--] engagements


"@grok @cb_doge Id say comedy. If AI can land good humor and timing everything else becomes easy. Comedy is the hardest test of real understanding. @elonmusk can this be happening soon with grok"  
[X Link](https://x.com/AIAgentsOps/status/1987550049673609536)  2025-11-09T15:57Z [---] followers, [--] engagements


"@techyoutbe Prompt Engineering"  
[X Link](https://x.com/AIAgentsOps/status/1987557949758382538)  2025-11-09T16:28Z [---] followers, [---] engagements


"Do You Know This πŸš€ Accessing Private Applications Securely in AWS (The Industry Standard) When your application runs in a private subnet you never expose it directly to the internet. Instead you place an Application Load Balancer (ALB) in a public subnet and let Route53 handle the domain mapping. Traffic Flow: User Route53 (DNS) ALB (Public Subnet) App / EC2 (Private Subnet) Why this matters: βœ… Your backend stays completely private βœ… Only the ALB is publicly reachable βœ… Fine-grained access control using Security Groups βœ… Auto-scales cleanly with load βœ… Aligns with AWS production best"  
[X Link](https://x.com/AIAgentsOps/status/1988113862437347344)  2025-11-11T05:17Z [---] followers, [--] engagements


"Hey πŸ‘‹ @X algorithm Im looking to #CONNECT with folks interested in: πŸ‘¨πŸ’» JavaScript & TypeScript βš› React / Next.js 🌐 Full Stack Development πŸš€ Backend with Node.js / Python πŸ“¦ DevOps & Cloud (AWS Docker Kubernetes CI/CD) 🧠 DSA & Problem Solving πŸ’Ό Freelancing & Real-World Projects πŸ’» LeetCode / Interview Prep 🐍 Python & FastAPI πŸ”§ Open Source & #BuildInPublic Lets learn collaborate grow and build some cool stuff together πŸ™Œ #LearnInPublic #LetsConnect #100DaysOfCode #DevCommunity #Developer"  
[X Link](https://x.com/AIAgentsOps/status/1988280203056214440)  2025-11-11T16:18Z [---] followers, [---] engagements


"Do You Really Understand Load Balancers πŸ€” Most developers use them but dont actually know whats happening behind the scenes. Here are some critical things you should know: πŸ”Ή Load Balancer Just a Traffic Splitter It also handles health checks failover routing logic and SSL/TLS termination. πŸ”Ή [--] Major Types: Layer [--] (Transport Layer) Routes using IP + Port (Fast but less intelligent) Layer [--] (Application Layer) Routes using URLs headers cookies (Smart routing) πŸ”Ή TLS Termination The LB decrypts HTTPS traffic so backend apps receive plain HTTP. This reduces CPU load on your servers. πŸ”Ή Session"  
[X Link](https://x.com/AIAgentsOps/status/1988368238095593660)  2025-11-11T22:08Z [---] followers, [--] engagements


"1/4 Public Subnet Public Server. Private Subnet You Cant Access It. Most beginners misunderstand VPC design. πŸ‘‡ RT if you like. #LeetCode #100daysofcodingchallenge #AWS"  
[X Link](https://x.com/asynctrix/status/1988395358901383584)  2025-11-11T23:56Z [---] followers, [---] engagements


"2/4 This is the most common and secure web application setup on AWS: Public Subnets Only Load Balancer + EC2 (exposed to the internet) Private Subnets Databases + Internal Resources (not reachable directly) Internet Gateway Allows public traffic to reach the ALB"  
[X Link](https://x.com/asynctrix/status/1988395363238375782)  2025-11-11T23:56Z [---] followers, [--] engagements


"2/4 Auto Scaling Group Dynamically adds/removes EC2 instances based on load AWS Secrets Manager Stores DB credentials securely (no .env leaks 🀝)"  
[X Link](https://x.com/asynctrix/status/1988395369093623892)  2025-11-11T23:56Z [---] followers, [--] engagements


"3/4 🧠 Why This Design Works It ensures: Your app is reachable (via ALB) Your database is protected (in private subnet) Secure access control (security groups + IAM) Automatic scaling under traffic spikes"  
[X Link](https://x.com/asynctrix/status/1988395374688833806)  2025-11-11T23:56Z [---] followers, [--] engagements


"4/4 Save this. Youll rebuild this architecture in 80% of real-world AWS projects"  
[X Link](https://x.com/asynctrix/status/1988395379965259944)  2025-11-11T23:56Z [---] followers, [--] engagements


"In India right now: Perplexity Pro Free ChatGPT Go Free Gemini Pro Free We arent the customers. Were the dataset. India has quietly become the largest real-world testing lab for AI. In the AI era when the product is free your data is the price. RT if this made you think"  
[X Link](https://x.com/AIAgentsOps/status/1988401678014730599)  2025-11-12T00:21Z [---] followers, [---] engagements


"@CodeToCloudxx Cloud formation will be helpful when there is no Terraform module available for new AWS resources"  
[X Link](https://x.com/AIAgentsOps/status/1988473727538123035)  2025-11-12T05:07Z [---] followers, [--] engagements


"πŸš€ Top [--] DevOps Challenges for Beginners in 2025/26 [--] Tool Overload Jenkins GitHub Actions ArgoCD Terraform You try learning everything but end up mastering nothing. [--] Cloud Confusion AWS alone feels like a different planet 🌩 [--] YAML Fatigue One wrong indent and everything falls apart πŸ’€ [--] Pipeline Security Shift-left security sounds easy until your build fails πŸ” [--] Automation Mindset Writing scripts is easy. Thinking automation-first takes time. 🀯 πŸ’‘ Where to start πŸ‘‰ Begin with Git Linux Docker Cloud (AWS basics) and CI/CD fundamentals before jumping into Kubernetes or Infrastructure as"  
[X Link](https://x.com/AIAgentsOps/status/1988496159221174758)  2025-11-12T06:36Z [---] followers, [---] engagements


"@NanouuSymeon Okta"  
[X Link](https://x.com/AIAgentsOps/status/1988682874439254178)  2025-11-12T18:58Z [---] followers, [--] engagements


"πŸš€ DevOps Explained in [--] Minutes (Super Simple) DevOps is not a tool. It's a way of building and shipping software faster safer and with fewer problems. Heres DevOps in the simplest possible way: [--] Write the code Developers build new features. [--] Test the code Make sure nothing is broken. [--] Build & package the app Turn it into a container (Docker). [--] Deploy the app Send it to servers (AWS EC2 ECS EKS etc.) [--] Monitor everything Logs metrics alerts make sure the app is healthy. [--] Fix & improve Find issues quickly and patch them. [--] Automate all steps CI/CD pipelines automate build test deploy."  
[X Link](https://x.com/AIAgentsOps/status/1989404953379832023)  2025-11-14T18:47Z [---] followers, [--] engagements


"πŸš€ Terraform in [--] Seconds Terraform = Infrastructure as Code. Write your infra Terraform builds it. Why DevOps folks love it: IaC & version control Multi-cloud (AWS/Azure/GCP) Shows changes before applying Smart dependency graph Automates infra changes safely #LearnInPublic #100DaysOfCode https://twitter.com/i/web/status/1989550299753943502 https://twitter.com/i/web/status/1989550299753943502"  
[X Link](https://x.com/asynctrix/status/1989550299753943502)  2025-11-15T04:25Z [----] followers, [---] engagements


"What's the killer feature of standardized A2A that a simple multi-LLM conversation can't replicate πŸ‘‡"  
[X Link](https://x.com/AIAgentsOps/status/1989606733514416250)  2025-11-15T08:09Z [---] followers, [--] engagements


"@elonmusk but what new problems this will bring along with benefits"  
[X Link](https://x.com/AIAgentsOps/status/1989607113438761218)  2025-11-15T08:11Z [---] followers, [----] engagements


"@Shay_Slay_ Starting the work late is better than thinking about time waste"  
[X Link](https://x.com/AIAgentsOps/status/1989903063344451962)  2025-11-16T03:47Z [---] followers, [--] engagements


"If youre serious about AI learn in this order: [--] Python [--] Numpy Pandas [--] Math (Linear Algebra + Stats) [--] ML basics [--] Deep Learning [--] LLMs [--] LangChain / LangGraph [--] Deploying models No shortcuts. ✨πŸ”₯ #BuildInPublic"  
[X Link](https://x.com/AIAgentsOps/status/1989938005440958741)  2025-11-16T06:06Z [---] followers, [---] engagements


"πŸ”₯ The HTTP Status Codes Every Developer Should Know [---] Continue [---] Switching Protocols [---] OK [---] Created [---] Accepted [---] No Content [---] Moved Permanently [---] Found [---] Not Modified [---] Bad Request [---] Unauthorized [---] Forbidden [---] Not Found [---] Method Not Allowed [---] Request Timeout [---] Conflict [---] Too Many Requests [---] Internal Server Error [---] Not Implemented [---] Bad Gateway [---] Service Unavailable [---] Gateway Timeout"  
[X Link](https://x.com/AIAgentsOps/status/1990043281569567123)  2025-11-16T13:04Z [---] followers, [---] engagements


"@elonmusk @elonmusk When will the entire world get access to Starlink @grok"  
[X Link](https://x.com/AIAgentsOps/status/1990049503014191569)  2025-11-16T13:29Z [---] followers, [--] engagements


"@grok @elonmusk Why not other countries except Russia and Chaina Every where it's because of policies"  
[X Link](https://x.com/AIAgentsOps/status/1990050823506956691)  2025-11-16T13:34Z [---] followers, [--] engagements


"Todays X/Spotify/ChatGPT outage A reminder of what happens when the internet depends on only Cloudflare. Real resilience = Multi-CDN + smart routing + circuit breakers. This combo has saved teams from massive downtime again and again. How do you handle CDN failover in your setup #DevOps #SRE #Cloudflare #OutageAnalysis"  
[X Link](https://x.com/AIAgentsOps/status/1990796267942023426)  2025-11-18T14:56Z [---] followers, [---] engagements


"AWS: Major outage [--] Oct [----] Azure: Major outage [--] Oct [----] Cloudflare: Major outage today At this point whos next πŸ‘€ #DevOps #SRE #Cloud #Outages"  
[X Link](https://x.com/AIAgentsOps/status/1990804910296924417)  2025-11-18T15:30Z [---] followers, [---] engagements


"GEMINI [---] LAUNCH Googles most advanced AI model is now available in the Gemini app and for developers. The era of agentic AI has arrived. Key features: - [--] MILLION TOKEN CONTEXT WINDOW: Analyzes massive datasets entire codebases or long documents. - ADVANCED CODING: Tops coding benchmarks and builds UIs and dashboards from simple prompts. - AGENT CAPABILITIES: Supports tool use and multi-step planning. Features like Gmail organization and meeting planning are available to Gemini Ultra subscribers. - VEO [--] TEXT-TO-VIDEO: Generates 4K videos with synced audio and realistic physics. Coming"  
[X Link](https://x.com/AIAgentsOps/status/1990873411027980349)  2025-11-18T20:03Z [---] followers, [---] engagements


"DevOps looks glamorous on the outside but its built on hard-earned lessons every engineer eventually learns. Here are the [--] DevOps Golden Rules that truly matter: [--] Things will break. Be ready. Pipelines deployments nodes certificates DNS secrets something will always fail. Works on my laptop means nothing in production. Success in DevOps = fast detection + fast recovery. [--] Focus on reliability not perfection. Perfect code is useless if the system crashes at [--] AM. Reliability clever engineering. Simple predictable systems win more often than complex ones. [--] Document everything. Tribal"  
[X Link](https://x.com/AIAgentsOps/status/1991024116246458680)  2025-11-19T06:01Z [---] followers, [----] engagements


"πŸš€ [--] Types of AI Agents - Explained Simply (But Powerfully) AI isnt just about models anymore. Its about agents that observe think plan & act. Here are the [--] core types of AI agents - each shaping the future of automation robotics & agentic AI πŸ‘‡ [--] Simple Reflex Agents If X do Y. ⚑ Fast πŸ”„ Reactive 🧠 No memory Example: If obstacle detected turn left. Used in basic robots thermostats & rule-based systems. [--] Model-based Reflex Agents They remember with an internal state. πŸ“ Track past events πŸ‘€ Handle partial info 🧩 Smarter than simple reflex Example: A cleaning robot remembering which rooms"  
[X Link](https://x.com/AIAgentsOps/status/1992087679748772038)  2025-11-22T04:28Z [---] followers, [---] engagements


"Hey @X πŸ‘‹ Im looking to #CONNECT with people who are into: 🐍 Python 🧠 AI Agents πŸ’‘ DSA 🌐 Full-Stack Dev πŸ’Ό Freelancing 🎨 Frontend βš™ Backend 🟩 Node.js πŸš€ DevOps ☸ Kubernetes πŸ”₯ LeetCode Lets swap tips collab on projects and #LearnInPublic together Whats your top skill A) Python B) DevOps C) DSA D) Other (mention it) or ( say hi ) πŸ‘‡ Reply & lets grow together"  
[X Link](https://x.com/AIAgentsOps/status/1992120596361368038)  2025-11-22T06:38Z [---] followers, [--] engagements


"Hey @X πŸ‘‹ Im looking to #CONNECT with people who are into: 🐍 Python 🧠 AI Agents πŸ’‘ DSA 🌐 Full-Stack Dev πŸ’Ό Freelancing 🎨 Frontend βš™ Backend 🟩 Node.js πŸš€ DevOps ☸ Kubernetes πŸ”₯ LeetCode Lets swap tips collab on projects and #LearnInPublic together Whats your top skill A) Python B) DevOps C) DSA D) Other (mention it) or ( say hi ) πŸ‘‡ Reply & lets grow together #LetsConnect #100DaysOfCode"  
[X Link](https://x.com/AIAgentsOps/status/1992120824522998120)  2025-11-22T06:39Z [---] followers, [---] engagements


"@elonmusk Im looking to #CONNECT with people who are into: 🐍 Python 🧠 AI Agents πŸ’‘ DSA 🌐 Full-Stack Dev πŸ’Ό Freelancing 🎨 Frontend βš™ Backend 🟩 Node.js πŸš€ DevOps ☸ Kubernetes πŸ”₯ LeetCode Lets swap tips collab on projects and #LearnInPublic together"  
[X Link](https://x.com/AIAgentsOps/status/1992124527233626576)  2025-11-22T06:54Z [---] followers, [---] engagements


"πŸ”₯ DevOps Scenario That Every Engineer Has Faced You deploy a small fix to production Suddenly: CPU spikes Pods restart Alerts explode Slack wakes up Everyone says It was working [--] mins ago Then you: βœ” Roll back βœ” Patch quickly βœ” Act like nothing ever happened βœ” And later you proudly say: Smooth deployment overall. πŸ˜ŒπŸ’β™‚ Welcome to DevOps - calm outside chaos inside"  
[X Link](https://x.com/AIAgentsOps/status/1992506364078551100)  2025-11-23T08:11Z [---] followers, [---] engagements


"AWS announced a game-changer πŸš€ Amazon API Gateway (REST APIs) now has direct private integration with Application Load Balancers (ALBs). No more intermediary Network Load Balancer (NLB) needed This means: πŸ“‰ Lower latency (fewer hops) πŸ’° Reduced costs (no NLB charges) πŸ— Simpler architecture & less overhead"  
[X Link](https://x.com/AIAgentsOps/status/1992929564025393359)  2025-11-24T12:13Z [---] followers, [---] engagements


"I don't think so something exists for Free Do you know the best alternative for this https://t.co/o0nGbV3AAr Do you know the best alternative for this https://t.co/o0nGbV3AAr"  
[X Link](https://x.com/asynctrix/status/1993171938496413859)  2025-11-25T04:16Z [----] followers, [---] engagements


"πŸ”₯ AWS Interview Scenarios - Real World Not Theory [--] The IAM Policy Shock:- You created an IAM policy allowing S3 access but your Lambda still throws AccessDenied. Whats the first thing you check [--] The EC2 Mystery Reboot:- Your EC2 instance restarts every night at [--] AM. No CloudWatch alarms. No Auto Scaling. No cron. What do you investigate first [--] The Broken Load Balancer:- ALB health checks failing but the app works when you hit the EC2 public IP directly. What are the top [--] things you verify [--] The RDS Slow Query Nightmare:- Your RDS CPU is consistently at 90% and application performance"  
[X Link](https://x.com/AIAgentsOps/status/1993378106086940949)  2025-11-25T17:55Z [---] followers, [---] engagements


"πŸ”₯ AWS Interview Scenarios - With Answers [--] IAM Policy Shock Scenario: You created an IAM policy allowing S3 access but your Lambda still throws AccessDenied. Whats the first thing you check βœ…Answer: Check whether the Lambda Execution Role (not the user role not a random IAM role) actually has the S3 permissions attached. This includes: --Confirm Lambda is using the correct execution role --Check if the policy is attached to the role (inline or managed) --Ensure policy contains both: s3:GetObject / PutObject (object-level) s3:ListBucket (bucket-level) if listing --Confirm the S3 bucket policy"  
[X Link](https://x.com/AIAgentsOps/status/1993533612743180519)  2025-11-26T04:13Z [---] followers, [---] engagements


"Still debugging with print() πŸ˜… Try IceCream - it shows both the expression and the value. #100DaysOfCode #CONNECT with Python Developers"  
[X Link](https://x.com/AIAgentsOps/status/1993558732115152989)  2025-11-26T05:53Z [---] followers, [---] engagements


"AWS: Oct [--] Azure: Oct [--] Oracle: Oct [--] Cloudflare: Nov [--] Google Meet: Nov [--] At this point the cloud in [----] is running on pure luck prayer and whatever duct tape is left behind the servers. β˜πŸ˜…βš‘ #GoogleMeet"  
[X Link](https://x.com/asynctrix/status/1993619832668144051)  2025-11-26T09:56Z [---] followers, [---] engagements


"@nalinrajput23 People use Macs for different reasons: Some for performance Some because theyre used to the Unix commands Some for the ecosystem And yes some for pure showoff πŸ˜…"  
[X Link](https://x.com/AIAgentsOps/status/1993752397978718293)  2025-11-26T18:43Z [---] followers, [--] engagements


"@nalinrajput23 looking for a garage πŸ˜…"  
[X Link](https://x.com/AIAgentsOps/status/1993753878156988452)  2025-11-26T18:49Z [---] followers, [--] engagements


"Stop living in Pending status. Run the command"  
[X Link](https://x.com/AIAgentsOps/status/1993756316960231826)  2025-11-26T18:58Z [---] followers, [--] engagements


"🧬 Just explored the new AWS Strands Agents SDK - and wow. If fully-managed agents feel too restrictive this is exactly what youve been waiting for. The name Strands comes from how it connects two core pieces (like DNA): [--] The Model the brain reasoning [--] The Tools the actions execution Its open-source Python-based and model-agnostic (Bedrock Ollama Anthropic plug anything in). Finally a clean lightweight way to build agentic loops without orchestration spaghetti. πŸπŸ€– πŸ”œ Ill be posting more deep-dives on Strands soon - stay tuned. #AWS #100DaysOfCode"  
[X Link](https://x.com/AIAgentsOps/status/1993942700899573995)  2025-11-27T07:19Z [---] followers, [---] engagements


"Do people still use StackOverflow The place that once carried the entire software industry on its shoulders"  
[X Link](https://x.com/AIAgentsOps/status/1994028202185117939)  2025-11-27T12:59Z [---] followers, [---] engagements


"πŸ“š Bookmark This: Kubernetes Architecture Demystified (8 Blocks) πŸ”Ή Control Plane Core API Server:- Central gateway of Kubernetes Validates every request from users controllers and components Exposes the Kubernetes API for all communication etcd:- Highly available consistent key-value store Stores entire cluster state: nodes pods configs events Scheduler:- Assigns Pods to the most suitable worker nodes Considers CPU memory taints affinities and constraints πŸ”Ή Controllers Controller Manager:- Runs background reconciliation loops ReplicaSet Controller:- Ensures desired number of Pod replicas"  
[X Link](https://x.com/AIAgentsOps/status/1994686371508977735)  2025-11-29T08:34Z [---] followers, [---] engagements


"Real Interview-Questions and Answers - DevOps + AWS + Kubernetes. [--] Can you explain the difference between a Deployment and a StatefulSet My Answer: In Kubernetes I use Deployments for stateless apps like frontends or APIs. They dont maintain pod identity which is fine for stateless workloads. But for databases like MongoDB Redis Kafka I use StatefulSets. They provide stable pod names stable network identity and PVC-based persistent storage. Simple rule: Deployment stateless StatefulSet stateful + persistent. [--] Whats the difference between a ConfigMap and a Secret My Answer: ConfigMap stores"  
[X Link](https://x.com/AIAgentsOps/status/1994984884457075005)  2025-11-30T04:20Z [---] followers, [---] engagements


"@karanjagtiani04 You should always use Secrets Manager in AWS for secrets similar in other Cloud Providers Keeping sensitive info in Kubernetes Secrets or configmap is not good solution"  
[X Link](https://x.com/AIAgentsOps/status/1995208422925705237)  2025-11-30T19:08Z [---] followers, [--] engagements


"@CodeToCloudxx I feel python will be the leader but majority of enterprise products will be of GO"  
[X Link](https://x.com/asynctrix/status/1995725995005948150)  2025-12-02T05:25Z [----] followers, [--] engagements


"πŸš€ AWS launches AI Factories turning customers existing data centers into high-performance AI environments. Highlights: Dedicated AWS AI infra deployed on-prem GPUs Trainium storage databases networking Works like a private AWS Region with Bedrock + SageMaker access Uses latest NVIDIA Grace Blackwell & Vera Rubin platforms Future Trainium4 + NVLink Fusion support Helps governments & regulated industries meet sovereignty + compliance Massive scale: 150000-chip AI Zone with HUMAIN (Saudi Arabia) AWS is basically bringing the clouds AI power directly into your data center. πŸ”₯ #AIFactory"  
[X Link](https://x.com/AIAgentsOps/status/1995906374388384062)  2025-12-02T17:22Z [---] followers, [---] engagements


"πŸš€ AWS just changed the game. AI Factories now turn your own data center into a high-performance AI powerhouse. On-prem AWS AI stack (GPUs + Trainium) Functions like a private AWS Region NVIDIA Grace Blackwell + Vera Rubin Built for sovereignty scale & serious AI AWS is basically delivering a mini AI cloud to your doorstep. πŸ”₯ #AWSreInvent #AIFactory"  
[X Link](https://x.com/AIAgentsOps/status/1995912833603961131)  2025-12-02T17:47Z [---] followers, [---] engagements


"🚨 Not using AI in [----] is the modern version of refusing to upgrade to Android during the Nokia era. Everyone else moved ahead. The world changed. Only one thing didnt: Those who stayed stuck stayed behind. The tools have evolved. Your career should too. Upgrade now or get left in the past"  
[X Link](https://x.com/AIAgentsOps/status/1996428821105668201)  2025-12-04T03:58Z [---] followers, [---] engagements


"No more coding for creating custom AI agents for - Google just made it possible with Workspace Studio"  
[X Link](https://x.com/AIAgentsOps/status/1996808838193074669)  2025-12-05T05:08Z [---] followers, [--] engagements


"πŸš€ How to Start as a DevOps Engineer (Zero Basics -- Advance) Step 1: Learn Linux basics Step 2: Understand Networking (Ports DNS IP Routing) Step 3: Learn Git + GitHub Step 4: Learn Python basics Step 5: Learn Cloud AWS preferred Step 6: Learn Containers Docker Step 7: Learn CI/CD GitHub Actions / Jenkins / Tekton Step 8: Learn Kubernetes basics Step 9: Learn Monitoring CloudWatch / Prometheus Step 10: Build [--] Mini Projects (end-to-end) πŸ’‘ Ill be posting more DevOps content from now on real-time examples practical scenarios and interview-level questions that help you grow from beginner to"  
[X Link](https://x.com/asynctrix/status/1996815342740689260)  2025-12-05T05:34Z [---] followers, [---] engagements


"🚨 Something BIG is shifting in AI agents and AWS just quietly confirmed it. AWS is going all-in on the Model Context Protocol (MCP) and then handed it to the Linux Foundation. ✨ MCP Tasks A new call now fetch later pattern that: Survives restarts & failures Handles long-running operations Doesnt break on network drops Lets agents persist across cycles ✨ Elicitations Tools can now: Pause mid-operation Ask users for missing info Resume automatically Turn workflows into conversations ✨ And the quiet part AWS already built: Dozens of MCP servers Access to 15000+ AWS APIs Serverless MCP hosting"  
[X Link](https://x.com/asynctrix/status/1998488972608291203)  2025-12-09T20:24Z [---] followers, [---] engagements


"πŸ”₯ Linux Essentials for DevOps - Made Super Simple If you want to understand Linux the easy way start with these daily-use topics: Moving around files and folders Connecting to servers using SSH Checking and managing running programs Starting and stopping services Basic networking commands Checking logs and system health Installing or updating software Searching and editing text (grep/sed/awk) Basic shell scripting Want the guide Find. πŸ‘‡ πŸ”₯ Linux Essentials for DevOps - High-Level Breakdown Want the guide Find. πŸ‘‡ Daily In Use Content: Navigation & File Ops SSH & Remote Access Process"  
[X Link](https://x.com/asynctrix/status/1998606582951850124)  2025-12-10T04:11Z [---] followers, [---] engagements


"πŸš€ Simplifying AWS Architectures with Direct API Gateway ALB Integration AWS just removed one of the most common architectural hurdles. Previously connecting API Gateway to backend services meant routing through an NLB before hitting an ALB. That extra hop is now gone. βœ… Before API Gateway ➝ NLB ➝ ALB βœ… Now API Gateway ➝ ALB (direct integration) This update brings: Lower latency one less network hop Lower cost no NLB required Cleaner architecture fewer moving components Better maintainability ALB rules + API Gateway mapping = flexible design A small change with a big impact on how we design"  
[X Link](https://x.com/asynctrix/status/1998643475420737760)  2025-12-10T06:38Z [---] followers, [---] engagements


"Cloud Engineering is BOOMING. Heres how to get in πŸ’₯"  
[X Link](https://x.com/asynctrix/status/1998772409319698924)  2025-12-10T15:10Z [---] followers, [---] engagements


"AWS Simplified the Apigateway and ALB Integration βœ… Before API Gateway ➝ NLB ➝ ALB βœ… Now API Gateway ➝ ALB (direct integration) πŸš€ Simplifying AWS Architectures with Direct API Gateway ALB Integration AWS just removed one of the most common architectural hurdles. Previously connecting API Gateway to backend services meant routing through an NLB before hitting an ALB. That extra hop is now gone. βœ… https://t.co/sOfRcOeKHA πŸš€ Simplifying AWS Architectures with Direct API Gateway ALB Integration AWS just removed one of the most common architectural hurdles. Previously connecting API Gateway to"  
[X Link](https://x.com/asynctrix/status/1998995418718548487)  2025-12-11T05:57Z [---] followers, [---] engagements


"Cloud Engineering is BOOMING. Heres how to get in πŸ’₯"  
[X Link](https://x.com/asynctrix/status/1999224547904749956)  2025-12-11T21:07Z [---] followers, [---] engagements


"@twtayaan Python is good start and master always"  
[X Link](https://x.com/asynctrix/status/2000954994011558101)  2025-12-16T15:43Z [---] followers, [--] engagements


"DevOps in plain English πŸ‘‡ ☁ Cloud AWS / GCP / Azure - cloud platforms Terraform - infrastructure as code 🐚 Scripting Bash - quick automation Python - advanced automation πŸ“¦ Containers Docker - application packaging Kubernetes - container orchestration πŸ” CI/CD Jenkins - build automation GitHub Actions - integrated pipelines ArgoCD - Kubernetes-native CD πŸ“Š Observability Prometheus - metrics collection Grafana - visualization Datadog - metrics logs traces 🌱 Version Control Git - versioning GitHub - collaboration πŸ” DevSecOps Checkov - IaC scanning SonarQube - code quality Wiz - cloud &"  
[X Link](https://x.com/asynctrix/status/2001141036425601331)  2025-12-17T04:02Z [---] followers, [---] engagements


"Tom Cruise at [--] Action hero Software engineer at [--] Back pain Ergonomics matter more than you think"  
[X Link](https://x.com/asynctrix/status/2001175082199343282)  2025-12-17T06:18Z [---] followers, [---] engagements


"Microsofts MarkItDown is a total game changer for AI devs πŸš€ Stop struggling with messy file formats. This open-source Python library converts Word Excel and PowerPoint into clean LLM-ready Markdown exactly what modern AI pipelines need. It also supports rich content extraction: πŸ“Έ Images AI-generated descriptions πŸŽ™ Audio Speech-to-text transcription Perfect for RAG and LLM workflows. 84k+ GitHub stars already πŸ”— #Python #AI #OpenSource #Microsoft #MarkItDown #LLM #RAG https://github.com/microsoft/markitdown https://github.com/microsoft/markitdown"  
[X Link](https://x.com/asynctrix/status/2001519665638707230)  2025-12-18T05:07Z [---] followers, [---] engagements


"They dont break helm lint. They dont fail CI. They dont show up in PR reviews. Everything looks green until prod starts serving 404s or running yesterdays image. This is why Helm issues are dangerous. Not loud. Silent. You dont need perfect charts. You need predictable ones. Whats the worst Helm bug that slipped into prod for you βš“πŸ‘€"  
[X Link](https://x.com/asynctrix/status/2001561846210531773)  2025-12-18T07:55Z [---] followers, [---] engagements


"Any new stuff in AWS will be available in Cloudformation immediately after release but not in Terraform Having hands-on with Cloudformation is always good AWS cli is the go for any quick tasks to execute CloudFormation vs AWS CLI You can automate AWS resources using the CLI but CloudFormation offers much more: AWS CLI: Scripts run commands to create resources quickly but they arent grouped in a stack. Updating or deleting resources requires manual tracking and care to CloudFormation vs AWS CLI You can automate AWS resources using the CLI but CloudFormation offers much more: AWS CLI: Scripts"  
[X Link](https://x.com/asynctrix/status/2001689458530566385)  2025-12-18T16:22Z [---] followers, [---] engagements


"DevOps isnt about tools. Its about layers. Heres what a real-world DevOps stack looks like πŸ‘‡ πŸ–₯ System & Scripting Linux Shell Python 🌱 Version Control Git GitHub GitLab πŸ” CI/CD Jenkins GitHub Actions ArgoCD Flux πŸ— Infrastructure as Code Terraform CloudFormation πŸ“¦ Containers & Orchestration Docker Kubernetes Helm ☁ Cloud AWS Azure GCP βš™ Config Management Ansible Chef Puppet πŸ“Š Observability Prometheus Grafana ELK Datadog πŸ” Security SonarQube Trivy OWASP 🌐 Networking Nginx HAProxy Ingress πŸ—„ Databases & Storage You dont need to master all at once. Build layer by layer. Foundations tools"  
[X Link](https://x.com/asynctrix/status/2002243851021660545)  2025-12-20T05:05Z [---] followers, [---] engagements


"Helm vs Kustomize in plain English They both help you deploy Kubernetes YAML. They solve different problems. Think of it like this πŸ‘‡ 🎁 Helm = a packaged app 🏬 Helm chart = a ready-made kit πŸ“¦ Values = knobs you turn You install it like: Give me this app with these options. Helm: uses templates replaces variables at install time hides raw YAML behind logic Why Helm exists: reuse apps easily share complex setups install big systems fast (Prometheus Argo etc.) Key idea: Helm generates Kubernetes YAML 🧩 Kustomize = customize what already exists 🧱 Base YAML = your starting point 🎨 Overlays ="  
[X Link](https://x.com/asynctrix/status/2002720709530030231)  2025-12-21T12:40Z [---] followers, [----] engagements


"Most outages dont happen because of bugs. They happen because of assumptions. Think about it πŸ‘‡ ❌ This service will always be up ❌ Traffic wont spike today ❌ That config never changes Systems dont fail suddenly. They fail quietly then all at once. What strong engineers do differently πŸ‘‡ Design for failure Expect retries Add limits & timeouts Make rollback boring Monitor before users complain Key idea πŸ’‘ Reliability is built before incidents not during them. Whats the most painful outage youve learned from πŸ‘‡"  
[X Link](https://x.com/asynctrix/status/2003678926229684595)  2025-12-24T04:07Z [---] followers, [---] engagements


"🧠 Kubernetes Resources: Use them right not randomly Most production issues dont come from bugs. They come from bad resource settings. Think of it like this πŸ‘‡ βœ… Request = what my container needs to run ❌ Limit = the maximum its allowed to use πŸ“¦ Quota = the teams total budget What actually happens πŸ‘‡ ⚑ Scheduler uses Requests πŸ’₯ OOMKills happen because of Limits 🚦 Teams hit walls because of Quotas Common mistakes ❌ No requests (pods fight for CPU) Limits too tight (random crashes) No quota (one team eats the cluster) The right approach βœ… βœ” Set realistic requests (based on usage) βœ” Use"  
[X Link](https://x.com/asynctrix/status/2003727965008601451)  2025-12-24T07:22Z [---] followers, [---] engagements


"🧠 Docker Architecture is simple not magical Most people think Docker is a black box. Its not. Everything follows a clear flow πŸ‘‡ πŸ–₯ Client where commands start βš™ Daemon listens via API 🧩 Engine builds & runs πŸ“¦ Images immutable blueprints Containers running instances πŸ—„ Registry store & share images πŸ’‘ Key idea Docker is a clientserver system not a single tool. Once you see the flow Docker stops feeling confusing and starts feeling boring (in a good way). πŸ‘‡ What part of Docker clicked last for you #Tech https://twitter.com/i/web/status/2003737075187900794"  
[X Link](https://x.com/asynctrix/status/2003737075187900794)  2025-12-24T07:58Z [---] followers, [---] engagements


"@karanjagtiani04 Thank You Karan we have to check the Resource utilisation DataDog will helps"  
[X Link](https://x.com/asynctrix/status/2003763129445187656)  2025-12-24T09:42Z [---] followers, [--] engagements


"Most systems dont fail because of bad code. They fail because of early decisions. Too simple cant scale Too complex cant move The real skill isnt choosing monolith or microservices. Its knowing when to change. Engineering is timing not trends. πŸ” What decision came back to haunt you πŸ‘‡"  
[X Link](https://x.com/asynctrix/status/2003877566319677857)  2025-12-24T17:16Z [---] followers, [---] engagements


"πŸ‘€ CloudWatch vs CloudTrail - dont mix them up Same cloud. Very different jobs. πŸ“Ή CloudWatch Watches whats happening now Metrics logs alarms Is my system healthy πŸ“ CloudTrail Records what already happened API calls user actions Who did what and when πŸ’‘ Think of it like this: CloudWatch = CCTV camera CloudTrail = police logbook If youre debugging outages CloudWatch If youre auditing changes CloudTrail Real reliability needs both. Which one did you misunderstand first πŸ‘‡ https://twitter.com/i/web/status/2003887643445354565 https://twitter.com/i/web/status/2003887643445354565"  
[X Link](https://x.com/asynctrix/status/2003887643445354565)  2025-12-24T17:56Z [----] followers, [---] engagements


"Vibe Coding is helpful to Start not to Complete https://t.co/esX8wzxS7D https://t.co/esX8wzxS7D"  
[X Link](https://x.com/asynctrix/status/2004115759912640609)  2025-12-25T09:03Z [---] followers, [---] engagements


"Two candidates know the same stack. One gets rejected. One gets hired. DevOps #interviews dont reject you for missing a tool. They reject you for missing "reasoning". The difference isnt Kubernetes or Terraform. Its this πŸ‘‡ Can you explain *why* the system failed Can you stop the problem from spreading when things break Can you choose between options and explain the trade-offs Can you design systems expecting failures not hoping they wont happen Tools are easy to learn. Thinking during failures is not. πŸ’‘ DevOps isnt about what you know. Its about how you think when things go wrong. What was"  
[X Link](https://x.com/asynctrix/status/2004136130820886585)  2025-12-25T10:24Z [---] followers, [---] engagements


"Monitoring without resolution = noise. Dashboards dont fix incidents. Alerts dont restore services. Only actionable signals do. ❌ 100s of alerts with no owner ❌ Metrics without thresholds ❌ Dashboards no one checks at 3AM βœ… Alerts tied to decisions βœ… Clear runbooks βœ… One signal one action one outcome If an alert doesnt tell you what to do next its not monitoring its distraction. Signal Noise. Agree πŸ‘‡"  
[X Link](https://x.com/asynctrix/status/2004482573058359503)  2025-12-26T09:21Z [---] followers, [---] engagements


"@kaif9999 Should be Names not Creds"  
[X Link](https://x.com/asynctrix/status/2004539011705315376)  2025-12-26T13:05Z [---] followers, [--] engagements


"A practical learning flow to become a Cloud Engineer [--] Cloud fundamentals first Compute storage networking - concepts before tools. [--] Pick ONE cloud AWS / Azure / GCP. Depth beats multi-cloud confusion. [--] Core services VMs VPC Load Balancers IAM Storage. [--] Security early (not last) IAM least privilege network security. [--] Automation mindset Terraform / CloudFormation. If you click youre already late. [--] Containers & orchestration Docker Kubernetes. Why it exists matters more than YAML. [--] Monitoring & observability CloudWatch logs metrics alerts. You cant fix what you cant see. [--] DevOps"  
[X Link](https://x.com/asynctrix/status/2004616498611114195)  2025-12-26T18:13Z [---] followers, [---] engagements


"Kubernetes Learning Path (Simple) Linux basics Containers (Docker) Kubernetes architecture Pods ReplicaSets Deployments Services Ingress ConfigMaps Secrets Resource requests limits Scaling (HPA) Storage (Volumes PV PVC) RBAC & security basics Monitoring & logging Helm GitOps Cloud Kubernetes (EKS / GKE / AKS) Troubleshooting Thats it 🎯 you can work with Kubernetes now. Drop your additions below πŸ‘‡"  
[X Link](https://x.com/asynctrix/status/2004764250972266865)  2025-12-27T04:00Z [---] followers, 51.9K engagements


"Why Terraform Still Dominates IaC Not because it's trendy. Not because it's easy. Because it solves the hard problems. 🧠 Declarative by design You define what you want Terraform figures out how to get there πŸ“¦ State-driven control Knows what exists Detects drift Applies only what changed πŸ”Œ Provider-based architecture AWS Azure GCP Kubernetes One workflow many platforms πŸ§ͺ Plan before apply See the blast radius first Safer changes fewer surprises πŸ“ˆ Scales with teams Modules versioning reviewable diffs Works in CI/CD not just laptops πŸ’‘ Terraform doesnt manage servers. It manages intent."  
[X Link](https://x.com/asynctrix/status/2004840934559912278)  2025-12-27T09:05Z [---] followers, [----] engagements


"Most Terraform issues arent syntax problems. They're: Bad state management Unclear ownership Skipping terraform plan Applying under pressure Across any environment IaC fails when process fails. What's the biggest Terraform mistake you've seen in production or Any environment feel free to add in comments πŸ‘‡ Why Terraform Still Dominates IaC Not because it's trendy. Not because it's easy. Because it solves the hard problems. 🧠 Declarative by design You define what you want Terraform figures out how to get there πŸ“¦ State-driven control Knows what exists Detects drift https://t.co/765nfqXbz2 Why"  
[X Link](https://x.com/asynctrix/status/2004846365084713125)  2025-12-27T09:26Z [---] followers, [---] engagements


"If your Kubernetes Deployment feels boring. it means nothing broke. Thats not luck. Thats good design. 1/3🧠 Kubernetes Deployments: Use them wisely not blindly A Deployment is not just "run my app". Its a control system that manages change safely. Heres what a Deployment really does πŸ‘‡ πŸ” Versioning v1 and v2 dont overwrite each other New Pods are created gradually https://t.co/WkTqsk3EoH 1/3🧠 Kubernetes Deployments: Use them wisely not blindly A Deployment is not just "run my app". Its a control system that manages change safely. Heres what a Deployment really does πŸ‘‡ πŸ” Versioning v1 and"  
[X Link](https://x.com/asynctrix/status/2004862779245953263)  2025-12-27T10:31Z [---] followers, [---] engagements


"Most people "learn Python". I did too. Production taught me everything else. Heres the Professional Python Path πŸ‘‡ [--] Modern Environment reproducibility [--] Project Anatomy structure & ownership [--] DevContainers consistency [--] Static Analysis correctness [--] Pytest Excellence confidence [--] Pre-Commit discipline [--] AsyncIO & Concurrency scale [--] Pydantic Safety contracts [--] API Design usability πŸ”Ÿ Elite Containers deployment [--] Observability visibility [--] Python CD Pipeline reliability Tutorials teach syntax. Production demands discipline. You dont need all of this on day one. But you will need it"  
[X Link](https://x.com/asynctrix/status/2004882720179241043)  2025-12-27T11:51Z [---] followers, [----] engagements


"3 DevContainers consistency Same OS same tooling same setup for everyone No setup docs no "works on my machine" no hidden differences Consistency saves time before bugs even exist. Next #4 Static Analysis correctness Most people "learn Python". I did too. Production taught me everything else. Heres the Professional Python Path πŸ‘‡ [--] Modern Environment reproducibility [--] Project Anatomy structure & ownership [--] DevContainers consistency [--] Static Analysis correctness [--] Pytest Most people "learn Python". I did too. Production taught me everything else. Heres the Professional Python Path πŸ‘‡ [--] Modern"  
[X Link](https://x.com/asynctrix/status/2004897747233861825)  2025-12-27T12:50Z [---] followers, [---] engagements


"12 Python CD Pipeline reliability Every change tested built once deployed the same way No hero deploys no midnight fixes boring releases Boring deploys reliable systems. Congrats πŸŽ‰ Youve gone from tutorial Python to professional Python"  
[X Link](https://x.com/asynctrix/status/2004909721120374866)  2025-12-27T13:38Z [---] followers, [--] engagements


"@brankopetric00 Observability without signal design is just noise at scale"  
[X Link](https://x.com/asynctrix/status/2005061012043825243)  2025-12-27T23:39Z [---] followers, [----] engagements


"Why Terraform Remains Untouched. Config files Terraform Core Providers Target infrastructure State file = consistency. Locks prevent drift and surprises. Declarative. Repeatable. Multi Cloud by design. This architecture is why Terraform still sets the standard for IaC. Why Terraform Still Dominates IaC Not because it's trendy. Not because it's easy. Because it solves the hard problems. 🧠 Declarative by design You define what you want Terraform figures out how to get there πŸ“¦ State-driven control Knows what exists Detects drift https://t.co/765nfqXbz2 Why Terraform Still Dominates IaC Not"  
[X Link](https://x.com/asynctrix/status/2005140041425907910)  2025-12-28T04:53Z [---] followers, [---] engagements


"@obvilionab Terraform can be used for day-to-day networking tasks like Critical Handlings in ALB security groups whitlisting the IP's and its port numbers. Also controlling WAF which is like Frontline Firewall"  
[X Link](https://x.com/asynctrix/status/2005199939824189749)  2025-12-28T08:51Z [---] followers, [--] engagements


"There multiple stages the control will be Ex: For AWS accounts enterprises level WAF's few choose to create with terraform and only CloudSec teams will control those. But independent Application wise it's upto Application scope and its owners decesion to allow or deny through Security Groups. Yes these I seen managing through Terraform My self involved in creating Infra"  
[X Link](https://x.com/asynctrix/status/2005222327244767520)  2025-12-28T10:20Z [---] followers, [--] engagements


"@e_opore Nicely Explained One of the Toughest concept Many Miss and Pays Over money"  
[X Link](https://x.com/asynctrix/status/2005280169385451562)  2025-12-28T14:10Z [---] followers, [--] engagements


"Waiting for perfection kills momentum fast. Suddenly you're in - crunch mode - tight schedules - unexpected short deadlines - scrambling to get deployments live as a DevOps engineer. Ship iterative fix later. Momentum perfection every time. Stop trying to design the 'perfect' architecture on a whiteboard for six months. Ship a simple working version get feedback and iterate your grand design is wrong anyway. Stop trying to design the 'perfect' architecture on a whiteboard for six months. Ship a simple working version get feedback and iterate your grand design is wrong anyway"  
[X Link](https://x.com/asynctrix/status/2005391453221253214)  2025-12-28T21:32Z [---] followers, [--] engagements


"Software I use daily as a DevOps: GitHub VS Code Terraform Argo CD Tekton Quay kubectl AWS Console GCP GKE Datadog SonarQube Wiz Scan Python Bash ChatGPT Draw io And many others Which software is always open on your machine Software I use daily as a DevOps. - GitHub - Vs Code - Putty (CLI) - OpenSearch - Argo CD - Terraform - AWS Console - Notepad ++ - AppView X - Edge - Chat GPT What's yours Software I use daily as a DevOps. - GitHub - Vs Code - Putty (CLI) - OpenSearch - Argo CD - Terraform - AWS Console - Notepad ++ - AppView X - Edge - Chat GPT What's yours"  
[X Link](https://x.com/asynctrix/status/2005697748881056071)  2025-12-29T17:49Z [----] followers, [---] engagements


"@devops_nk Absolutely πŸ’― Hard to imagine a workday without using AI now. Claude Sonnet ChatGPT Grok and Gemini are go to tools for many"  
[X Link](https://x.com/asynctrix/status/2005699951955968151)  2025-12-29T17:58Z [---] followers, [--] engagements


"AWS Learning Path (Simple) Cloud fundamentals (regions AZs pricing) AWS account setup & IAM basics Networking basics (VPC subnets routing) Compute (EC2 Auto Scaling) Serverless basics (Lambda triggers) Storage (S3 EBS EFS) Databases (RDS DynamoDB) Load balancing (ALB / NLB) Security basics (IAM policies SGs NACLs) Monitoring & logging (CloudWatch CloudTrail) Infrastructure as Code (Terraform / CloudFormation) Containers on AWS (ECS / EKS) CI/CD (CodePipeline / GitHub Actions) Cost management & optimization Troubleshooting & reliability Thats it 🎯 you can work with AWS now. What would you add"  
[X Link](https://x.com/asynctrix/status/2005849593830072821)  2025-12-30T03:53Z [----] followers, 18.9K engagements


"Expanding on "Containers on AWS (ECS / EKS)": Here's a quick decision guide do you want velocity (ECS) or sovereignty (EKS) Thread πŸ‘‡ https://x.com/asynctrix/status/2003809533362069961s=20 πŸš€ EKS vs ECS: Speed or Sovereignty You Cant Have Both Choosing a container orchestrator on AWS isnt about features. Its about which pain youre willing to accept. 🧠 EKS (Kubernetes on AWS) You optimize for control. βœ” Deep customization βœ” Kubernetes ecosystem βœ” https://t.co/bwNJoywsYa https://x.com/asynctrix/status/2003809533362069961s=20 πŸš€ EKS vs ECS: Speed or Sovereignty You Cant Have Both Choosing a"  
[X Link](https://x.com/asynctrix/status/2005948922141847964)  2025-12-30T10:27Z [---] followers, [---] engagements


"Expanding on "Monitoring & Logging (CloudWatch & CloudTrail)" Here is the Simple Explanation to Understand them Better without Confusion Thread πŸ‘‡ https://x.com/i/status/2003887643445354565 https://x.com/i/status/2003887643445354565"  
[X Link](https://x.com/asynctrix/status/2005962856781734295)  2025-12-30T11:23Z [----] followers, [---] engagements


"Git & GitHub Learning Path (Simple & Practical) Version control basics Git install & config Repository init first commits Working tree staging commit Undo basics (reset / revert / amend) Branching & switching Merge vs rebase Remote repos (origin clone) Fetch pull push Pull requests & branching workflow (GitHub Flow) Code reviews Conflict resolution Stash & cherry-pick Tags & releases Issues & projects GitHub Actions (CI basics) Repo security (branch protection secrets) 🎯 Thats it you can confidently contribute to real projects now. Add your suggestions πŸ‘‡"  
[X Link](https://x.com/asynctrix/status/2005972806119670011)  2025-12-30T12:02Z [---] followers, [----] engagements


"Kubernetes Scaling isn't one feature (Explained in Simple Terms) Pods need scaling Nodes need scaling Resources need right-sizing Time sometimes needs planning Different problems different scalers. Thats the real picture. πŸ‘‡Breakdown in the original thread. 1/7 Kubernetes Scaling Options (Simple) HPA Custom Metrics KEDA Cluster Autoscaler VPA Predictive / Scheduled scaling These cover almost all real-world Kubernetes scaling scenarios. πŸ‘‡ Replies break each one down 1/7 Kubernetes Scaling Options (Simple) HPA Custom Metrics KEDA Cluster Autoscaler VPA Predictive / Scheduled scaling These"  
[X Link](https://x.com/asynctrix/status/2006026213932830791)  2025-12-30T15:34Z [---] followers, [----] engagements


"AWS pain = Learning out of order. IAM learned late security pain Networking skipped architecture confusion Monitoring added last blind debugging IaC ignored early manual drift The path matters as much as the tools. AWS gets easier when fundamentals shape decisions not when services are learned in isolation. AWS Learning Path πŸ‘‡ AWS Learning Path (Simple) Cloud fundamentals (regions AZs pricing) AWS account setup & IAM basics Networking basics (VPC subnets routing) Compute (EC2 Auto Scaling) Serverless basics (Lambda triggers) Storage (S3 EBS EFS) Databases (RDS AWS Learning Path (Simple)"  
[X Link](https://x.com/asynctrix/status/2006208584410095817)  2025-12-31T03:39Z [---] followers, [----] engagements


"@VTikke Good Visual workflow"  
[X Link](https://x.com/asynctrix/status/2006238415206113585)  2025-12-31T05:38Z [----] followers, [--] engagements


"@MuthaNagavamsi It will be costly Read since printing block Eatup lots of black colour"  
[X Link](https://x.com/asynctrix/status/2006305352422416397)  2025-12-31T10:04Z [---] followers, [--] engagements


"Kubernetes Core Components - Simplified Cluster basics API Server the front door etcd cluster state & truth Scheduler Pod placement logic Controller Manager desired vs actual state kubelet node-level execution kube-proxy Service networking Pods smallest deployable unit ReplicaSets Pod guarantees Deployments safe change & rollout Services stable access Ingress external traffic entry ConfigMaps configuration Secrets sensitive data Requests limits QoS Health checks (liveness / readiness) RBAC access control Events logs metrics Helm repeatable installs GitOps controlled deployments"  
[X Link](https://x.com/asynctrix/status/2006560043513377178)  2026-01-01T02:56Z [----] followers, 68.5K engagements


"AWS just dropped EKS Capabilities (simplified) Core EKS basics Self-managed add-ons ops pain AWS-managed controllers no upkeep Argo CD managed GitOps ACK AWS via K8s CRDs KRO resource composition Opt-in per cluster Runs outside nodes no drain Security & scaling AWS-managed Same Kubernetes workflow 🎯 Less toil. Lighter clusters. Faster teams. No more fixing Argo CD at [--] AM πŸ˜„ https://twitter.com/i/web/status/2006635035903013277 https://twitter.com/i/web/status/2006635035903013277"  
[X Link](https://x.com/asynctrix/status/2006635035903013277)  2026-01-01T07:54Z [---] followers, [----] engagements


"Build These Projects Become a DevOps Engineer in [----] Build a Linux troubleshooting lab Build log rotation & cleanup jobs Build a CI pipeline that fails correctly Build a deployment with rollback Build Docker image optimization Build image scanning & policy enforcement Build reverse proxy rules Build TLS certificate rotation Build metrics that trigger actionable alerts Build alert fatigue reduction Build a log correlation flow Build readiness & liveness checks Build autoscaling thresholds Build a blue-green or canary release Build a backup restore test (not just backups) Build a DR runbook"  
[X Link](https://x.com/asynctrix/status/2006965839145390460)  2026-01-02T05:48Z [----] followers, 12.7K engagements


"Most In-Demand DevOps Tools Right now Kubernetes Terraform AWS Docker ArgoCD GitHub Actions Jenkins Python Prometheus & Grafana Datadog Tools are in demand. Foundations decide how far you go. Which one are you mastering this year Drop your additions below πŸ‘‡ https://twitter.com/i/web/status/2007440527848026565 https://twitter.com/i/web/status/2007440527848026565"  
[X Link](https://x.com/asynctrix/status/2007440527848026565)  2026-01-03T13:14Z [----] followers, [----] engagements


"@sirius_sec Nice πŸ‘ It's a Solid Stack. which one challenged you the most to learn"  
[X Link](https://x.com/asynctrix/status/2007470483814662461)  2026-01-03T15:13Z [---] followers, [--] engagements


"@sirius_sec That's a great journey πŸ‘ building cluster(GKE+Terraform) Can gain deeper Knowledge"  
[X Link](https://x.com/asynctrix/status/2007472338913407204)  2026-01-03T15:21Z [---] followers, [--] engagements


"Ports aren't numbers. They're signals. Not something to memorize. Not random configuration. Think of it like this πŸ‘‡ πŸšͺ Port = a door πŸ“¦ Service = whats behind it Common signals youll see πŸ‘‡ [--] remote access (SSH) [--] / [---] user traffic (HTTP / HTTPS) [----] internal tools & CI [----] / [----] relational databases [----] cache & fast data access [-----] document database [----] / [----] dashboards & metrics Why ports matter πŸ‘‡ open ports = exposed services wrong port open = wrong access unknown port = something unexpected running unexpected open port = security investigation Key idea πŸ‘‡ DevOps doesnt"  
[X Link](https://x.com/asynctrix/status/2007775988906971213)  2026-01-04T11:27Z [---] followers, [----] engagements


"@karanjagtiani04 Now Going with Datadog. But I feel reliable alerting comes from good signal that we design not from the tool. Even with Best tool we can get worst alerts if not configured well"  
[X Link](https://x.com/asynctrix/status/2007779152573911517)  2026-01-04T11:40Z [---] followers, [--] engagements


"Python Learning Path (Simplified) Python fundamentals Syntax & indentation how Python reads code Variables naming data Data types int float string bool Operators math & logic Collections list tuple set dict Control flow if / elif / else Loops for / while Functions reusable logic Arguments & returns input/output of logic Scope local vs global Errors & exceptions try / except / finally Modules split code logically Imports how code connects Packages & pip reuse ecosystem Virtual environments isolate dependencies File handling read / write files JSON & CSV real-world data formats OOP basics class"  
[X Link](https://x.com/asynctrix/status/2008025406763643079)  2026-01-05T03:58Z [---] followers, [----] engagements


"APIs Timeouts Failure handling (7/8) HTTP requests Timeouts Safe network calls"  
[X Link](https://x.com/asynctrix/status/2008054142087111010)  2026-01-05T05:53Z [---] followers, [--] engagements


"@gael_elan101 Good Suggestion πŸ‘"  
[X Link](https://x.com/asynctrix/status/2008110623306228114)  2026-01-05T09:37Z [---] followers, [--] engagements


"@sahill_og Congrats πŸ‘"  
[X Link](https://x.com/asynctrix/status/2008119728318083163)  2026-01-05T10:13Z [---] followers, [--] engagements


"Before You Go for a DevOps Interview βœ… Check yourself honestly. Set up CI/CD from scratch Create production-ready infrastructure with IaC  Debug network issues when apps cant connect  Containerize legacy apps (not just hello-world)  Deploy to Kubernetes with zero downtime on failures  Design & manage Ingress (TLS routing canary)  Write automation scripts (Shell / Python)  Set up centralized logging  Implement monitoring + actionable alerting  Troubleshoot live incidents under pressure  Manage secrets securely (no hard-coding) Troubleshoot live incidents under pressure Most people fail DevOps"  
[X Link](https://x.com/asynctrix/status/2008377985729261901)  2026-01-06T03:20Z [----] followers, 11K engagements


"No More Confusion with AWS VPC AWS VPC from boundary to traffic flow(Simplified) VPC CIDR block (IP address space) Region (geographic boundary) Availability Zones (fault isolation) Subnets (network segmentation per AZ) Public subnet (internet-facing workloads) Private subnet (internal workloads) Route Tables (traffic decision logic) Internet Gateway (IGW) (internet connectivity) NAT Gateway (outbound-only access for private subnets) Elastic IP (static public address) Security Groups (stateful firewall resource level) Network ACLs (stateless firewall subnet level) Elastic Network Interface"  
[X Link](https://x.com/asynctrix/status/2008398118186860633)  2026-01-06T04:40Z [----] followers, [----] engagements


"Stop Debating Languages. Start Automating. Docker Go Kubernetes Go containerd Go etcd Go Helm Go Terraform Go (HCL + Go core) Vault Go Nomad Go Prometheus Go Grafana Go (backend) ArgoCD Go Consul Go Cilium Go Istio Go Fluent Bit C Fluentd Ruby Ansible Python SaltStack Python OpenStack Python AWS CLI Python Azure CLI Python Google Cloud SDK Python Boto3 Python Kubectl plugins Go / Python / Bash CI/CD glue mostly Python & Shell Yes Go Is Everywhere Now Still Learn Python First "Dont chase luxury. Build quality" https://twitter.com/i/web/status/2008437125088530460"  
[X Link](https://x.com/asynctrix/status/2008437125088530460)  2026-01-06T07:15Z [----] followers, [---] engagements


"No More Confusion with AWS API Gateway Client (Browser Mobile Service) API Gateway (single entry point) API Types HTTP API lightweight low latency low cost REST API authentication validation usage plans WebSocket API real-time bidirectional communication Request Flow Routing path + HTTP method matching Authorization IAM Cognito Lambda authorizer Throttling rate limits burst control Validation request & payload checks Backend Integration Lambda serverless execution ALB / EC2 containers or virtual machines AWS services S3 DynamoDB Step Functions Performance & Control Caching reduced latency"  
[X Link](https://x.com/asynctrix/status/2008740373741424740)  2026-01-07T03:20Z [----] followers, [----] engagements


"No More Confusion with AWS Lambda Event Sources API Gateway HTTP requests S3 object uploads DynamoDB stream events EventBridge scheduled & event-driven triggers Execution Model Lambda Function stateless code execution Invocation event handler response Runtime Python Node.js Java Go etc. Scaling Behavior Automatic scaling one request = one execution Concurrency parallel executions per region Burst scaling handles sudden traffic spikes Execution Lifecycle Cold start new environment initialization Warm start reused execution environment Timeout max execution duration (up to [--] min) Permissions &"  
[X Link](https://x.com/asynctrix/status/2008759248151343180)  2026-01-07T04:35Z [----] followers, [----] engagements


"AWS Storage: What to Use and When Choose the right storage in seconds πŸ‘‡ Object Storage S3 Files backups logs Unlimited scale Regional private by default (public optional) Archive Storage S3 Glacier (Instant / Flexible / Deep Archive) Long-term backups Lowest cost Slow retrieval Block Storage EBS EC2 OS & databases AZ-bound High performance Multi-attach (same AZ io1/io2 only) File Storage EFS / FSx Shared file system Multiple EC2s Linux (EFS) Windows/Lustre (FSx) Temporary Storage Instance Store Ultra-fast Data lost on stop/terminate Hybrid & Migration DataSync / Snowball On-prem AWS"  
[X Link](https://x.com/asynctrix/status/2009102761431064697)  2026-01-08T03:20Z [----] followers, [----] engagements


"What REALLY happens when you run kubectl apply Most people see: pod/nginx created Kubernetes actually does this APPLY API Server Admission Control etcd Scheduler Kubelet Container Runtime Pod Running βœ… If you can visualize this you truly understand Kubernetes. πŸ” Repost to help others https://twitter.com/i/web/status/2009119873964892248 https://twitter.com/i/web/status/2009119873964892248"  
[X Link](https://x.com/asynctrix/status/2009119873964892248)  2026-01-08T04:28Z [----] followers, [----] engagements


"Still Confused Monitoring in AWS Save this πŸ‘‡ Know About CloudWatch AWS's native monitoring & observability service Tracks Metrics Collects Logs Triggers Alarms Think: Eyes + Ears + Alerts for AWS πŸ“Š Metrics (Default = FREE) Out of the box metrics for AWS resources: CPU Network Disk (EBS metrics by default) Status checks Basic: every [--] mins (free) Detailed: every [--] min (paid) πŸ“ Logs Central place for logs from: EC2 Applications System logs Use it to debug audit and analyze issues faster 🚨 Alarms Watch metrics & act automatically Example: CPU 90% Trigger SNS Send email / SMS / auto action"  
[X Link](https://x.com/asynctrix/status/2009500662246330886)  2026-01-09T05:41Z [----] followers, [----] engagements


"Kubernetes Scaling doesn't mean only adding Pods. You can scale: Pods (HPA) Pod size (VPA) Nodes (Cluster Autoscaler) Right Scale at the right layer"  
[X Link](https://x.com/asynctrix/status/2009668840003907676)  2026-01-09T16:49Z [----] followers, [----] engagements


"Kubernetes OOMKilled = The Most Misunderstood Error Your Pod Didnt Crash. Linux Killed It. Your application didnt throw an exception The Linux kernel terminated it Here's what OOMKilled actually means Root cause The container exceeded resources.limits.memory The cgroup hard memory limit was breached The Linux OOM Killer killed the process Kubernetes only observed and reported the event What typically happens Pod starts and runs normally Pod starts and runs normallying A memory allocation fails or memory pressure occurs Linux OOM Killer kills the container process Kubernetes reports it as"  
[X Link](https://x.com/asynctrix/status/2009867434128486487)  2026-01-10T05:58Z [----] followers, 18.3K engagements


"Kubernetes Networking Looks Complex πŸ‘‡ But the flow is simple: Pod Service Ingress Internal Stable External Pod runs your app (IP can change) Service gives a stable virtual IP & load balances Ingress exposes apps to the outside world Once this clicks everything else makes sense. How does a request enter the cluster πŸ‘‡ User Ingress Service Pod Kubernetes OOMKilled = The Most Misunderstood Error Your Pod Didnt Crash. Linux Killed It. Your application didnt throw an exception The Linux kernel terminated it Here's what OOMKilled actually means Root cause The container exceeded"  
[X Link](https://x.com/asynctrix/status/2009939682067656712)  2026-01-10T10:45Z [----] followers, 16.5K engagements


"Kubernetes Deployments Look Complex. But Kubernetes follows a clear hierarchy : Deployment ReplicaSet Pods Declare Maintain Run Deployment defines the desired state ReplicaSet enforces the pod count Pods run your application Pods are disposable - avoid managing them directly Scaling happens at the Deployment level Rollouts create new ReplicaSets not new Pods You dont manage pods. You declare intent - Kubernetes does the rest. Once this clicks rolling updates self-healing and scaling finally make sense. Kubernetes Storage Looks Confusing But the idea is simple: Pod Volume PersistentVolume"  
[X Link](https://x.com/asynctrix/status/2010260534692585476)  2026-01-11T08:00Z [----] followers, [----] engagements


"@e_opore Good List to follow πŸ‘"  
[X Link](https://x.com/asynctrix/status/2010415984881148002)  2026-01-11T18:18Z [----] followers, [---] engagements


"I didn't Appreciate Kubernetes the First Time I used it. It felt heavy. Too many moving parts. Too much abstraction. Complex Topics Then one day a Node went down. I didn't restart anything. I didn't touch a pod. A few minutes later A Magic Happened and everything was back. That's when I stopped questioning why Kubernetes exists and started understanding what it's actually solving. It's hierarchy is crucial and everything has purpose to understand It's not about containers. It's about systems that assume failure by default. Of course debugging a stuck pod will still test your patience πŸ˜„ But"  
[X Link](https://x.com/asynctrix/status/2010424541726777543)  2026-01-11T18:52Z [----] followers, [----] engagements


"@techificial Well Said πŸ‘ understanding the core purpose of k8s Actually why it exists gives more confidence on deployments"  
[X Link](https://x.com/asynctrix/status/2010626489767825795)  2026-01-12T08:14Z [----] followers, [--] engagements


"AWS API Gateway-A Backend API Savior πŸ‘‡ - One service. - One entry point. - No confusion. -------------------------------- πŸ‘€ Client Browser Mobile App Service -------------------------------- 🌐 API Gateway (Single Entry Point) Routing - Path + HTTP method matching Authorization - IAM Cognito Lambda Authorizer Throttling - Rate limits Burst control Validation - Headers Params Payload checks -------------------------------- πŸ”Œ Backend Integrations Lambda Direct invocation (serverless) ALB EC2 - ALB receives traffic - Forwards to EC2 / containers S3 / DynamoDB Direct AWS service integrations"  
[X Link](https://x.com/asynctrix/status/2010973794673004717)  2026-01-13T07:14Z [----] followers, [----] engagements


"Intresting 😎: Cowork by Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code"  
[X Link](https://x.com/asynctrix/status/2010977413711479086)  2026-01-13T07:29Z [----] followers, [---] engagements


"Don't Start Kubernetes Before These πŸ”₯ Before Kubernetes Linux basics Before Kubernetes Networking Basics Before Kubernetes Containers (Docker) Before Kubernetes YAML & Configs Before Kubernetes Git basics Before Kubernetes Security Basics Before Kubernetes Cloud Concepts πŸ‘‰ When these click Kubernetes makes sense. Skip them and you'll keep asking: "Why is this breaking " Kubernetes isn't the problem. The foundation is. Which one did you learn late and regret πŸ‘‡ https://twitter.com/i/web/status/2011058573149909152 https://twitter.com/i/web/status/2011058573149909152"  
[X Link](https://x.com/asynctrix/status/2011058573149909152)  2026-01-13T12:51Z [----] followers, 20.1K engagements


"Kubernetes Services - No More Confusion Pods are ephemeral. Their IPs change. So exposing them directly is a bad idea. Thats where Services come in. ClusterIP Internal access only Default service type Reachable only inside the cluster Used for internal communication Use ClusterIP for: Backend services Internal APIs NodePort Access via Node Exposes a port on every node Accessible using NodeIP:Port Mostly used for testing or debugging Good for: Quick demos Temporary access LoadBalancer External access Creates an external IP Routes traffic from outside the cluster Cloud-provider managed Used"  
[X Link](https://x.com/asynctrix/status/2011285896549843291)  2026-01-14T03:55Z [----] followers, [----] engagements


"πŸš€ IAM The Most Misunderstood Concept If something breaks in AWS IAM is usually the reason. - Not compute. - Not networking. - Permissions. -------------------------------- 🧠 What IAM Really Is IAM is AWSs permission engine. Every request in AWS is evaluated by IAM. -------------------------------- πŸ‘€ Core IAM Building Blocks User - Represents a human - Long-term credentials Role - Temporary access - Used by AWS services - No permanent credentials Policy - JSON document - Defines permissions - Attached to users roles or resources -------------------------------- πŸ“œ Policy Basics A policy"  
[X Link](https://x.com/asynctrix/status/2011292439923798385)  2026-01-14T04:21Z [----] followers, [----] engagements


"Container vs Pod - The Brutal TruthπŸ”₯ A container is NOT what Kubernetes runs. Kubernetes runs Pods. That confusion causes a lot of pain. Container - Docker World  Just a process Lives and dies on its own Has no identity in Kubernetes Kubernetes does not manage containers directly A container is an implementation detail. Pod - Kubernetes World  Smallest deployable unit in Kubernetes Wraps one or more containers Has its own IP Shares networking and storage This is what Kubernetes schedules restarts and scales A Pod is the execution unit. How to Think About It  Docker runs containers Kubernetes"  
[X Link](https://x.com/asynctrix/status/2011652311064481946)  2026-01-15T04:11Z [----] followers, 15.3K engagements


"This ties perfectly into why Pods feel so different once you get it Kubernetes ignores manual effort and demands clear intent. Deeper dive here: https://x.com/asynctrix/status/2011849972644540693 Kubernetes doesn't reward effort. It rewards clarity. You can work hard: tune containers by hand keep things running for weeks memorize commands Kubernetes doesn't care. It only asks one question: πŸ‘‰ Does the current state match the desired state If not it will: https://x.com/asynctrix/status/2011849972644540693 Kubernetes doesn't reward effort. It rewards clarity. You can work hard: tune containers"  
[X Link](https://x.com/asynctrix/status/2011852950734586302)  2026-01-15T17:28Z [----] followers, [---] engagements


"CrashLoopBackOff isn't the Problem. It's the message. Kubernetes is telling you something very specific: Your Pod started Your app crashed Kubernetes restarted it The same thing happened again So Kubernetes slowed down and said: 'Stop. Fix this first.' CrashLoopBackOff does NOT mean: Kubernetes is broken Restart logic is wrong You need more resources (most of the time) It usually means: App exits immediately Missing config or secret App cant reach a dependency Wrong startup command App isnt designed to restart cleanly πŸ‘‰ Kubernetes is doing its job. πŸ‘‰ Its protecting the cluster from a broken"  
[X Link](https://x.com/asynctrix/status/2012007904136568901)  2026-01-16T03:44Z [----] followers, [----] engagements


"πŸš€ALB vs NLB-Smart Routing vs Raw Speed Both are AWS Load Balancers. Both distribute traffic. But they solve different problems. -------------------------------- 🧠 Core Difference ALB operates at Layer [--] (Application) NLB operates at Layer [--] (Transport) -------------------------------- πŸ”Ή Application Load Balancer (ALB) Best for HTTP and HTTPS traffic. Understands: - URLs - Headers - HTTP methods Supports: - Path-based routing (/api /login) - Host-based routing (ALB vs NLB Smart Routing vs Raw Speed) - Authentication (OIDC Cognito) - WebSockets Common use cases: - Web applications -"  
[X Link](https://x.com/asynctrix/status/2012163250000220523)  2026-01-16T14:01Z [----] followers, [----] engagements


"@ConsciousRide True πŸ™Œ. For me it was Assume Role when AWS changed its policy wasted sometime on it πŸ˜€"  
[X Link](https://x.com/asynctrix/status/2012376973289681395)  2026-01-17T04:10Z [----] followers, [--] engagements


"How Private Subnets Access the Internet Private does NOT mean no internet. It means no inbound exposure. -------------------------------- πŸ“ Private Subnet EC2 instance - No public IP - Not reachable from the internet Route table 0.0.0.0/0 NAT Gateway -------------------------------- πŸ” NAT Gateway - Deployed in a Public Subnet - Has an Elastic IP - Acts as the exit point Route table (Public Subnet) 0.0.0.0/0 Internet Gateway -------------------------------- 🌐 Internet - OS updates - Package downloads - External API calls -------------------------------- πŸ” Security Model (Important)"  
[X Link](https://x.com/asynctrix/status/2012406882229764394)  2026-01-17T06:09Z [----] followers, [----] engagements


"@fajlur_ Understanding this gives more info on how kubernetes works"  
[X Link](https://x.com/asynctrix/status/2012442062759866648)  2026-01-17T08:29Z [----] followers, [--] engagements


"This is why even Skilled DevOps Engineers struggle in production. You might master: AWS Kubernetes Networking Automation CI/CD tools IaC frameworks But if you cant: Stay calm during outages Debug under heavy time pressure Explain impact to non-tech teams Say "I dont know" early Adapt when things go sideways Take ownership of failures Collaborate across teams Learn from incidents not hide them Your tools wont save you. Production doesnt care about: Certifications Blog posts Perfect Architectures on paper DevOps isnt just tools. Its how you show up when systems are on fire. Which of these hits"  
[X Link](https://x.com/asynctrix/status/2012475616705266006)  2026-01-17T10:42Z [----] followers, [----] engagements


"@Umesh__digital Thank Umesh Software Skills Plays Major role for a DevOps Engineer to handle multiple application deployments and Outages"  
[X Link](https://x.com/asynctrix/status/2012577565689708598)  2026-01-17T17:27Z [----] followers, [--] engagements


"@gael_elan101 Thank You Gael Data over Network if not handled well then it will be in Peak"  
[X Link](https://x.com/asynctrix/status/2012592702341222862)  2026-01-17T18:27Z [----] followers, [--] engagements


"Now this "typing." Became reasoning for Agentic AI Chatbots with Same streaming Concept As a Developer have you asked yourself how "Typing" shows up instantly in WhatsApp Is the app refreshing every second Or is there something else happening behind the scenes https://t.co/MOd4l7C4xN As a Developer have you asked yourself how "Typing" shows up instantly in WhatsApp Is the app refreshing every second Or is there something else happening behind the scenes https://t.co/MOd4l7C4xN"  
[X Link](https://x.com/asynctrix/status/2012721225458499587)  2026-01-18T02:58Z [----] followers, [---] engagements


"@WilliamBenzDev Haha Crazy then it becomes Chatting with Ads not Agents πŸ˜…"  
[X Link](https://x.com/asynctrix/status/2012722497595347436)  2026-01-18T03:03Z [----] followers, [--] engagements


"@devops_nk Amazing brother πŸ‘ CongratsπŸŽ‰ for 2k"  
[X Link](https://x.com/asynctrix/status/2012787834625630331)  2026-01-18T07:23Z [----] followers, [--] engagements


"If not me who will fix it. As a DevOps Engineer did you ever feel this moment Not because you know everything. But because someone has to take ownership. That's the job: systems are on fire alerts don't wait blame doesn't help You step in. You investigate. You fix. You document. You move on. Not heroic. Just responsible. That mindset matters more than any tool. Have you had a moment like this in your DevOps journey πŸ‘‡ https://twitter.com/i/web/status/2012876985916363166 https://twitter.com/i/web/status/2012876985916363166"  
[X Link](https://x.com/asynctrix/status/2012876985916363166)  2026-01-18T13:17Z [----] followers, [---] engagements


"@_jaydeepkarale Thank You for the Share I will watch it πŸ‘ I used UV little but want to learn more since its little like npm kind for Python"  
[X Link](https://x.com/asynctrix/status/2012895007003361288)  2026-01-18T14:29Z [----] followers, [--] engagements


"@devops_nk @Infosys Congratulations πŸŽ‰"  
[X Link](https://x.com/asynctrix/status/2013221952064802922)  2026-01-19T12:08Z [----] followers, [--] engagements


"AWS 3-Tier Architecture - Must Know Access Tier (Entry Point) Application Tier Data Tier Detailed Info πŸ‘‡ https://x.com/asynctrix/status/2013482903968301485s=20 πŸ— AWS 3-Tier Architecture - Simplified 🌐 Access Tier (Entry Point) - Internet-facing Application Load Balancer (ALB) - Single entry point for users - Distributes traffic across Availability Zones - No application or business logic - Handles only traffic routing https://t.co/dM5wTUsozn https://x.com/asynctrix/status/2013482903968301485s=20 πŸ— AWS 3-Tier Architecture - Simplified 🌐 Access Tier (Entry Point) - Internet-facing"  
[X Link](https://x.com/asynctrix/status/2013486596226465839)  2026-01-20T05:39Z [----] followers, [---] engagements


"🚨 Resource Requests vs Limits Why Kubernetes Didn't Kill Your Pod Kubernetes trusted you. And you lied. Your pod didnt restart randomly. It didnt "just crash" 🧠 Resource Requests What you promise the scheduler Used to place pods on nodes Kubernetes assumes you told the truth Requests decide: Where your pod runs How crowded a node becomes 🧱 Resource Limits Hard enforcement boundary What your pod is allowed to use Cross it and Kubernetes steps in Memory limit exceeded OOMKilled Container restarted No warning ⚠ Where teams go wrong Requests too low Limits too tight Actual usage ignored Nodes"  
[X Link](https://x.com/asynctrix/status/2013609704971477324)  2026-01-20T13:48Z [----] followers, [----] engagements


"Kubernetes doesn't randomly kill Pods. It schedules based on what you promise. It enforces based on what you limit. If requests are wrong nodes get overpacked. If limits are tight containers get OOMKilled. Failures arent surprises. Theyre contracts being enforced. Detailed Info πŸ‘‡ 🚨 Resource Requests vs Limits Why Kubernetes Didn't Kill Your Pod Kubernetes trusted you. And you lied. Your pod didnt restart randomly. It didnt "just crash" 🧠 Resource Requests What you promise the scheduler Used to place pods on nodes Kubernetes assumes you https://t.co/IaiaUDuTAE 🚨 Resource Requests vs Limits"  
[X Link](https://x.com/asynctrix/status/2013673951801810967)  2026-01-20T18:04Z [----] followers, [---] engagements


"Kubernetes Core - Simplified Cluster basics API Server the front door etcd cluster state & truth Scheduler Pod placement logic Controller Manager desired vs actual state kubelet node-level execution kube-proxy Service networking Pods smallest deployable unit ReplicaSets Pod guarantees Deployments safe change & rollout Services stable access Ingress external traffic entry ConfigMaps configuration Secrets sensitive data Requests limits QoS Health checks (liveness / readiness) RBAC access control Events logs metrics Helm repeatable installs GitOps controlled deployments Troubleshooting reality"  
[X Link](https://x.com/asynctrix/status/2013822175321751777)  2026-01-21T03:53Z [----] followers, 12.4K engagements


"Do you think Fear is the new promotion "Software Engineering Will Be Automatable in [--] Months" Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most maybe all' of what software engineers do end-to-end within [--] to [--] months shifting engineers to editors. https://t.co/7bI7JmTtsb "Software Engineering Will Be Automatable in [--] Months" Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most maybe all' of what software engineers do end-to-end within [--] to [--] months shifting engineers to editors. https://t.co/7bI7JmTtsb"  
[X Link](https://x.com/asynctrix/status/2013845397215588670)  2026-01-21T05:25Z [----] followers, [---] engagements


"@Venkydotdev Fear Creates the Market"  
[X Link](https://x.com/asynctrix/status/2013852590518190511)  2026-01-21T05:54Z [----] followers, [--] engagements


"Kubernetes Node - Simplified A node is where containers actually run. This is execution territory. kubelet node brain Talks to API Server Creates starts restarts Pods Reports node & pod status Container Runtime (containerd / CRI-O) container engine Pulls images Runs containers Enforces resource limits kube-proxy service traffic rules Programs iptables / IPVS Routes Service traffic to Pods Enables stable networking CNI Plugin (Calico / Cilium / Flannel) pod networking Assigns Pod IPs Handles Pod-to-Pod traffic Enforces network policies CSI Driver storage attachment Mounts volumes to Pods"  
[X Link](https://x.com/asynctrix/status/2013882626567012394)  2026-01-21T07:53Z [----] followers, [----] engagements


"AWS VPC Peering - Must Know What it is Private network connection between two VPCs Uses private IP addresses Works within same account or across accounts Works across Regions How it works No gateway No VPN No extra hardware Uses AWS backbone network What it enables EC2 to EC2 communication Cross-account access Cross-region private traffic Resource sharing between VPCs What it is NOT Not transitive No overlapping CIDR blocks No central routing point Key benefits Low latency No single point of failure Encrypted traffic (inter-region) Never goes over public internet 🎯 Use VPC Peering when You"  
[X Link](https://x.com/asynctrix/status/2013930344010092930)  2026-01-21T11:03Z [----] followers, [---] engagements


"@Umesh__digital Thank You Umesh πŸ™Œ True understanding basic fundamentals helps to deep dive for especially for new learners"  
[X Link](https://x.com/asynctrix/status/2013964966722961582)  2026-01-21T13:20Z [----] followers, [--] engagements


"@_jaydeepkarale You are Right πŸ‘ Tools can be out dated but not the concept Great Thought πŸ‘"  
[X Link](https://x.com/asynctrix/status/2014014339318222994)  2026-01-21T16:36Z [----] followers, [--] engagements


"🚨 RollingUpdate vs Recreate Downtime is a choice. Both update your application. They behave very differently. 🟒 RollingUpdate Old and new Pods run together Traffic shifts gradually Zero or near-zero downtime Requires readiness to be correct πŸ”΄ Recreate Old Pods are killed first New Pods start later Guaranteed downtime Simple but risky 🧠 The mental model RollingUpdate = replace while serving Recreate = stop then start Kubernetes wont save you from downtime. It only follows the strategy you choose. Downtime isnt random. Its configured. Which one caused you pain in production"  
[X Link](https://x.com/asynctrix/status/2014227207837876623)  2026-01-22T06:42Z [----] followers, [----] engagements


"Lost Production because of thisπŸ‘‡ No Git Nobody knows what changed. No Terraform ClickOps drift and fear. No CI Broken releases sneak in. No CD Deployments become rituals. No monitoring Outages go silent. No secrets management Incidents turn into headlines. Which one hurt you the most πŸ‘‡ https://twitter.com/i/web/status/2014313831078781368 https://twitter.com/i/web/status/2014313831078781368"  
[X Link](https://x.com/asynctrix/status/2014313831078781368)  2026-01-22T12:26Z [----] followers, [---] engagements


"@devops_nk A silent talent killerThere is a chance of Loosing Critical thinking in coming years"  
[X Link](https://x.com/asynctrix/status/2014314720598323641)  2026-01-22T12:30Z [----] followers, [--] engagements


"🚨 Why kubectl delete pod Works Deleting a pod feels dangerous. Like you're breaking production. But Kubernetes doesn't think in pods. It thinks in desired state. When you delete a pod: You remove an instance Not the application The controller notices: Desired replicas actual replicas A new pod is created automatically Nothing is repaired. Everything is replaced. 🧠 The Best Part Pods are disposable. Deployments are permanent. If deleting a pod scares you you dont trust your desired state yet. Have you ever hesitated before deleting a pod in prod"  
[X Link](https://x.com/asynctrix/status/2014404919365927090)  2026-01-22T18:28Z [----] followers, [----] engagements


"Kubernetes Scheduling - Simplified Pod creation Requests declared Scheduler evaluates nodes CPU & memory availability Taints & tolerations Node selectors / affinity Pod placed on node kubelet executes Pod Limits enforced Pressure builds Evictions happen 🎯 Scheduling is math not magic. Feel Free to Add if Missed Anything https://twitter.com/i/web/status/2014679706629767219 https://twitter.com/i/web/status/2014679706629767219"  
[X Link](https://x.com/asynctrix/status/2014679706629767219)  2026-01-23T12:40Z [----] followers, [----] engagements


"80% of Prod outages trace back to these [--] Kubernetes mistakes πŸ‘‡ No liveness/readiness probes Pods restart forever traffic hits dead containers No resource requests/limits One pod eats CPU eviction chaos everywhere No PodDisruptionBudgets Rolling updates wipe out everything at once Secrets in env vars (not mounted) Logs leak creds security audits explode No pod anti-affinity All replicas land on one node single failure = full outage Which one cost you (or your team) real sleep πŸ”₯ #Kubernetes #DevOps #SRE"  
[X Link](https://x.com/asynctrix/status/2014744501924028690)  2026-01-23T16:58Z [----] followers, [----] engagements


"What Actually Happens When Kubernetes Runs Your Application Pod πŸ‘‡"  
[X Link](https://x.com/asynctrix/status/2014785684599668901)  2026-01-23T19:41Z [----] followers, [---] engagements


"AWS IAM Roles vs Policies - Must Know What Policies are: JSON documents that define permissions Specify what actions are allowed or denied Attached to users groups or roles Managed or inline (inline = embedded in the principal) What Roles are: IAM identities that have policies attached No permanent credentials (no access key / secret) Assumable by users AWS services or external identities Provide temporary credentials via STS How they work together Policy defines permissions Role container for policies + trust policy Trust policy who can assume the role (EC2 Lambda another account IdP)"  
[X Link](https://x.com/asynctrix/status/2014950816495600052)  2026-01-24T06:38Z [----] followers, [--] engagements


"Stop Leaking Secrets in [----] ❌ Common Prod killers: Hard-coded creds in code/Docker .env committed to Git Keys never rotated Plain ConfigMaps ENV in K8s manifests No audit / rotation Fixes that work: Vault / AWS SM / GCP KV / Azure External Secrets Operator Runtime injection only Short-lived IAM roles / OIDC Auto-rotate + zero-downtime Scan with trivy/gitleaks Least-privilege RBAC One leak = nightmare. One good setup = peace. Biggest secret sin you've fixed πŸ‘‡ #DevOps #Kubernetes https://twitter.com/i/web/status/2015113187478339613 https://twitter.com/i/web/status/2015113187478339613"  
[X Link](https://x.com/asynctrix/status/2015113187478339613)  2026-01-24T17:23Z [----] followers, [----] engagements


"Thanks Jaydeep Exactly. Docker ARGs are sneaky because they bake into layers forever. Multi-stage builds + not passing sensitive stuff as ARGs fixed it for me. Was using Wiz scans. How did you handle  Have you came across any Frontend (like react) to handle the secrets in build πŸ‘ https://twitter.com/i/web/status/2015262848822485417 https://twitter.com/i/web/status/2015262848822485417"  
[X Link](https://x.com/asynctrix/status/2015262848822485417)  2026-01-25T03:17Z [----] followers, [--] engagements


"Most CI fights start with the classic: "Oh it works on my machine. but fails in the pipeline" πŸ˜‚ @devops_nk nailed the troubleshooting basics πŸ‘ Solid steps Quick local culprits I see often: Different OS/package versions (macOS vs. Linux quirks) Cached deps or tools not cleared (npm/yarn lock mismatches) Firewall/network blocks on external deps in CI Great thread πŸš€ 🚨 Decoding DevOps Interview Questions Part 1: Build Passed Locally but Fails in CI How Will You Troubleshoot πŸ‘‡ Ans: I will connect with the developer over a call and troubleshoot it together. Here are the few things I will"  
[X Link](https://x.com/asynctrix/status/2015293382218989657)  2026-01-25T05:19Z [----] followers, [---] engagements


"we do completely opposite to make others rich πŸ˜­πŸ˜‚ Buying at selling time Selling at buying time Emotional Trap. I think I'm cooked chat 😭 https://t.co/co2nAJYmyH I think I'm cooked chat 😭 https://t.co/co2nAJYmyH"  
[X Link](https://x.com/asynctrix/status/2015308421797716456)  2026-01-25T06:19Z [----] followers, [---] engagements


"K8s Requests & Limits - In Plain English Requests decide: Where your Pod is scheduled Whether it fits on a node How the scheduler sees capacity Limits decide: How much your app is allowed to use When the kernel kills it Whether you get OOMKilled Common mistakes πŸ‘‡ No requests random scheduling Very low limits CrashLoopBackOff Requests = Limits zero burst room What Kubernetes assumes: You told the truth about your app What actually happens: Apps spike Limits get hit Pods die People blame Kubernetes 🎯 Scheduler trusts requests. 🎯 The kernel enforces limits. If your Pods keep dying check your"  
[X Link](https://x.com/asynctrix/status/2015668306158748027)  2026-01-26T06:09Z [----] followers, [----] engagements


"Announcement πŸ“’ I'm starting a "Kubernetes Pro Tips" series. One real-world tip a day Things that break in production Standards used by real teams No fluff. No theory dumps. If this helps you repost so it reaches others too πŸ‘‡"  
[X Link](https://x.com/anyuser/status/2020481977707626769)  2026-02-08T12:56Z [----] followers, 12.8K engagements


"Projects That Make You a Real Kubernetes Engineer Build a multi-node Kubernetes cluster Build namespace isolation for teams Build proper CPU & memory limits Build readiness & liveness probes Build ConfigMaps vs Secrets correctly Build secret rotation without downtime Build strict RBAC (no cluster-admin) Build NetworkPolicies that block traffic Build Ingress with TLS & cert rotation Build HPA using real metrics Build zero-downtime rolling deploys Build blue-green or canary releases Build crash-loop debugging workflows Build centralized logging Build actionable alerts (not noise) Build node"  
[X Link](https://x.com/asynctrix/status/2022001476344877510)  2026-02-12T17:34Z [----] followers, [----] engagements


"K8's Pro Tips 1-5πŸ‘‡ https://x.com/asynctrix/status/2022510801647735009s=20 Kubernetes Pro Tip #5πŸš€ Use PodDisruptionBudgets(PDB). During: Node drains Cluster upgrades Autoscaling events Pods get evicted. Without a PDB: Too many replicas go down Traffic drops Downtime happens Pro tip πŸ’‘ Set a minimum available count. High https://x.com/asynctrix/status/2022510801647735009s=20 Kubernetes Pro Tip #5πŸš€ Use PodDisruptionBudgets(PDB). During: Node drains Cluster upgrades Autoscaling events Pods get evicted. Without a PDB: Too many replicas go down Traffic drops Downtime happens Pro tip πŸ’‘ Set a"  
[X Link](https://x.com/anyuser/status/2022547515594477790)  2026-02-14T05:44Z [----] followers, [---] engagements


"Anthropic surges to 32% enterprise LLM API share (vs OpenAI's 25%) per Menlo Ventures' mid-2025 report. Spend doubled to $8.4B trust in compliance & code-gen wins the day. #AI #LLM""  
[X Link](https://x.com/asynctrix/status/1984977906486100253)  2025-11-02T13:36Z [----] followers, [---] engagements


"πŸš€ AWS Update: Amazon SageMaker Catalog now provides automatic data classification powered by AI agents - making data governance faster smarter and hands-free. Cloud just got a little more intelligent. ⚑ #AWS"  
[X Link](https://x.com/asynctrix/status/1995354720761008271)  2025-12-01T04:50Z [----] followers, [---] engagements

Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing

@DevopswithAI Avatar @DevopswithAI DevopswithAI

DevopswithAI posts on X about ai, core, events, cloud the most. They currently have [-----] followers and [---] posts still getting attention that total [-------] engagements in the last [--] hours.

Engagements: [-------] #

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  • [--] Week [------] -34%
  • [--] Month [-------] -17%

Mentions: [--] #

Mentions Line Chart

Followers: [-----] #

Followers Line Chart

  • [--] Week [-----] +11%
  • [--] Month [-----] +136%

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Social Influence

Social category influence technology brands stocks celebrities finance countries social networks vc firms products

Social topic influence ai, core #2160, events #2122, cloud, lambda, alerts, flow, azure, build a, ip

Top accounts mentioned or mentioned by @devopsnk @grok @jaydeepkarale @elonmusk @_jaydeepkarale @clovistb @karanjagtiani04 @aravind81995 @brankopetric00 @shayslay @cbdoge @codetocloudxx @nalinrajput23 @eopore @siriussec @gaelelan101 @umeshdigital @kukicola @navneet_rabdiya @sanderssays

Top assets mentioned Cloudflare, Inc. (NET) Alphabet Inc Class A (GOOGL)

Top Social Posts

Top posts by engagements in the last [--] hours

"@sanderssays @G2dotcom @Benioff A2A and MCP will be the GameChanger in AI"
X Link 2025-10-28T16:30Z [--] followers, [--] engagements

"@brankopetric00 Exactly Memory should always be managed with proper alerts. And since Redis isnt meant for long-term storage its key to plan periodic cleanups and eviction strategies ahead of time"
X Link 2025-10-30T04:03Z [--] followers, [---] engagements

"Most people said AI will replace DevOps but the fact is: Number of deployments increased πŸš€ Infra provisioning increased ☁ Monitoring complexity increased πŸ“Š Automation pipelines expanded πŸ€– Security & compliance checks grew πŸ” Incident management got faster but denser ⚑ AI didnt replace DevOps it made it evolve. Whats your take on this πŸ‘‡ #DevOps"
X Link 2025-10-31T04:38Z [--] followers, [--] engagements

"@itsZafeer Good Start"
X Link 2025-10-31T05:49Z [--] followers, [--] engagements

"Docker vs Kubernetes"
X Link 2025-11-01T04:16Z [--] followers, [--] engagements

"@_avichawla Is it same as A2A or any other new feature it's having"
X Link 2025-11-01T06:51Z [--] followers, [--] engagements

"Did you know you can launch an entire AI Agent from AWS Lambda with zero servers ⚑ Lambda isnt just for automation it can literally run your AI logic. πŸ”Ή Call OpenAI Bedrock or LangChain endpoints πŸ”Ή Handle tool execution (DBs APIs storage etc.) πŸ”Ή React to events (like file uploaded auto-summary store in DynamoDB) Youre not just triggering functions Youre triggering intelligence. πŸ€– #AWS #Lambda #AI #Serverless #Agents"
X Link 2025-11-02T05:15Z [--] followers, [--] engagements

"@Shay_Slay_ A meaningful journey to every Destination"
X Link 2025-11-02T06:19Z [--] followers, [--] engagements

"How do you prefer deploying workloads on Kubernetes - using Helm Kustomize or manually Curious to know your take and why. #LLM #Kubernetes πŸš€ Helm Charts The Kubernetes Package Manager You Cant Ignore Tired of kubectl apply chaos Helm turns your YAML jungle 🌳 into reusable versioned packages πŸ“¦ πŸ’‘ Why Helm matters: Simplifies app deployment with templates Manages complex releases easily (helm upgrade πŸš€ Helm Charts The Kubernetes Package Manager You Cant Ignore Tired of kubectl apply chaos Helm turns your YAML jungle 🌳 into reusable versioned packages πŸ“¦ πŸ’‘ Why Helm matters: Simplifies app"
X Link 2025-11-03T04:47Z [--] followers, [--] engagements

"Are you still spinning up full apps just to handle API calls Try API Gateway + Lambda - serverless scalable and saves hours of ops work πŸš€ πŸ‘‡ Heres why this combo just makes sense πŸ‘‡ #AWS"
X Link 2025-11-03T04:56Z [--] followers, [--] engagements

"Your app is fast Until your database becomes the bottleneck. 😩 Thats where Redis comes in. ⚑ πŸš€ Cache responses πŸ’¬ Manage sessions πŸ“Š Power queues & leaderboards In EKS just add Redis (via Helm or ElastiCache) and watch latency drop from 100ms 2ms. Speed isnt a feature its the user experience. πŸ’‘ #Redis #Kubernetes #EKS #DevOps #LLMs"
X Link 2025-11-04T19:04Z [--] followers, [---] engagements

"πŸ’‘ DevOps Interview Scenarios - Part [--] (Real-World Questions & Answers) Scenario 10: You see a Kubernetes pod stuck in Pending state. Whats your next move Scenario 11: Your Docker image keeps getting bigger after every build. Why is that happening 🐳 Scenario 12: Your Terraform deployment fails due to state file corruption. How do you recover πŸ‘‡ Check below for the answers. #DevOps #AWS #GitHub"
X Link 2025-11-06T13:00Z [----] followers, [--] engagements

"Answers πŸ” Scenario 10: βœ… Check node capacity kubectl describe node βœ… Verify taints & tolerations βœ… Check storage class / PVC binding βœ… Review network policies / quotas Scenario 11: βš™ Old layers not cleaned up 🧹 Run docker system prune 🧱 Optimize Dockerfile combine RUN commands use multi-stage builds Scenario 12: πŸ”Ή Use remote backend (S3 + DynamoDB lock) for Terraform state πŸ”Ή Restore from backup (Terraform Cloud or versioned S3) πŸ”Ή Run terraform refresh to rebuild state from infra Which of these issues have you run into in real projects https://twitter.com/i/web/status/1986418321865253050"
X Link 2025-11-06T13:00Z [----] followers, [--] engagements

"Create API Without Code in AWS πŸš€ API Gateway is the best mix of no-code + low-code in AWS. You can: --Build mock APIs without code --Add logic later with Lambda --Store data using DynamoDB Its how you move from idea working API fast πŸ’¨ #AWS #DevOps"
X Link 2025-11-07T05:01Z [--] followers, [--] engagements

"How do you maintain chat memory persistence across pods in your chatbot architecture Using Redis database or something else #LLMs #AI #chatbots"
X Link 2025-11-07T11:37Z [--] followers, [--] engagements

"πŸš€ DevOps Interview Prep - Real Questions & Answers (2025 Edition) 🧩 Q1. Walk me through your current project architecture and your role in it. In my current project we manage a microservices-based application deployed on AWS EKS (Kubernetes). Tech stack: Infrastructure: Terraform CI/CD: Jenkins Version Control: GitHub Containerization: Docker Orchestration & Packaging: Kubernetes Helm My role: Managing CI/CD pipelines and automating deployments Monitoring with Prometheus and AWS CloudWatch Handling IAM S3 backups and cost optimization on AWS Resolving infrastructure-level issues and"
X Link 2025-11-07T14:21Z [---] followers, [---] engagements

"🧱 Q6. Whats the difference between Deployment and StatefulSet in Kubernetes Deployment For stateless apps like web or API services StatefulSet For stateful apps like databases (MongoDB Redis) Key Differences: πŸ”Ή Pod Names: Deployment Random pod names StatefulSet Fixed & predictable pod names πŸ”Ή Storage: Deployment No PVC by default StatefulSet Uses PersistentVolumeClaims (PVCs) πŸ”Ή Scaling: Deployment Easy stateless scaling StatefulSet Maintains pod identity during scaling βœ… Examples: Frontend Deployment MongoDB / Redis StatefulSet"
X Link 2025-11-07T14:21Z [--] followers, [--] engagements

"@sandro_vol Nice Monitoring and eventdriven tools always has strong demand"
X Link 2025-11-07T16:43Z [--] followers, [--] engagements

"πŸ’§ Amazon S3 The Heart of AWS Storage If the interviewer asks Can you explain Amazon S3 and its key features Heres how to answer naturally and confidently πŸ‘‡ πŸͺ£ [--]. Buckets & Objects S3 stores data as objects inside buckets. Think of a bucket as a folder and objects as fileslike photos logs or backups. πŸ‘‰ Start by creating a bucket. πŸ” [--]. Replication Replication automatically copies data between buckets within the same region or across regions for disaster recovery or compliance. πŸ‘‰ Ensures data durability and high availability. πŸ”’ [--]. Object Lock Object Lock prevents files from being deleted"
X Link 2025-11-08T04:52Z [--] followers, [--] engagements

"βš™ Amazon EFS Shared Storage Simplified 🟒 Multiple EC2s. 🟒 Multiple Availability Zones. 🟒 One shared file system. Thats the magic of Amazon EFS ✨ Elastic File System = πŸ”Ή Shared storage πŸ”Ή Auto scaling πŸ”Ή Cross-AZ availability πŸ”Ή NFS compatible No manual setup no syncing headaches. Just mount and go. πŸ’Ύ -- Ever used EFS in production How did you handle permissions and mount performance πŸ‘‡ #AI #AWS"
X Link 2025-11-08T05:57Z [---] followers, [---] engagements

"🧡 A2A The Backbone of Agentic Communication Ever wondered how AI agents actually talk to each other Thats where the A2A (Agent-to-Agent) Protocol comes in. πŸš€ Lets decode it πŸ‘‡ Hey @X lets make this post reach AI Enthusiastic. #AI #A2A #buildinpublic #letsconnect #tech @grok"
X Link 2025-11-08T13:25Z [---] followers, [---] engagements

"@sama safe superintelligence πŸ‘"
X Link 2025-11-08T19:23Z [---] followers, [--] engagements

"βš™ With A2A Agents Dont Compete They Collaborate When AI agents speak a common language everything changes. The A2A Protocol provides standardized methods & data structures - so agents can communicate seamlessly no matter how theyre built. 🀝 Each agent does its part shares structured info and the AI Assistant (Orchestrator) brings it all together 🧩 Result A single cohesive answer - built from multiple intelligent systems. πŸš€ Thats the power of A2A interoperability. Hey @X algo #Connect & RT to share this A2A multi-agent hack. [--] Why A2A πŸ”— Interoperability - Agents from different systems"
X Link 2025-11-09T07:05Z [---] followers, [--] engagements

"@grok @cb_doge Id say comedy. If AI can land good humor and timing everything else becomes easy. Comedy is the hardest test of real understanding"
X Link 2025-11-09T15:55Z [---] followers, [--] engagements

"@grok @cb_doge Id say comedy. If AI can land good humor and timing everything else becomes easy. Comedy is the hardest test of real understanding. @elonmusk can this be happening soon with grok"
X Link 2025-11-09T15:57Z [---] followers, [--] engagements

"@techyoutbe Prompt Engineering"
X Link 2025-11-09T16:28Z [---] followers, [---] engagements

"Do You Know This πŸš€ Accessing Private Applications Securely in AWS (The Industry Standard) When your application runs in a private subnet you never expose it directly to the internet. Instead you place an Application Load Balancer (ALB) in a public subnet and let Route53 handle the domain mapping. Traffic Flow: User Route53 (DNS) ALB (Public Subnet) App / EC2 (Private Subnet) Why this matters: βœ… Your backend stays completely private βœ… Only the ALB is publicly reachable βœ… Fine-grained access control using Security Groups βœ… Auto-scales cleanly with load βœ… Aligns with AWS production best"
X Link 2025-11-11T05:17Z [---] followers, [--] engagements

"Hey πŸ‘‹ @X algorithm Im looking to #CONNECT with folks interested in: πŸ‘¨πŸ’» JavaScript & TypeScript βš› React / Next.js 🌐 Full Stack Development πŸš€ Backend with Node.js / Python πŸ“¦ DevOps & Cloud (AWS Docker Kubernetes CI/CD) 🧠 DSA & Problem Solving πŸ’Ό Freelancing & Real-World Projects πŸ’» LeetCode / Interview Prep 🐍 Python & FastAPI πŸ”§ Open Source & #BuildInPublic Lets learn collaborate grow and build some cool stuff together πŸ™Œ #LearnInPublic #LetsConnect #100DaysOfCode #DevCommunity #Developer"
X Link 2025-11-11T16:18Z [---] followers, [---] engagements

"Do You Really Understand Load Balancers πŸ€” Most developers use them but dont actually know whats happening behind the scenes. Here are some critical things you should know: πŸ”Ή Load Balancer Just a Traffic Splitter It also handles health checks failover routing logic and SSL/TLS termination. πŸ”Ή [--] Major Types: Layer [--] (Transport Layer) Routes using IP + Port (Fast but less intelligent) Layer [--] (Application Layer) Routes using URLs headers cookies (Smart routing) πŸ”Ή TLS Termination The LB decrypts HTTPS traffic so backend apps receive plain HTTP. This reduces CPU load on your servers. πŸ”Ή Session"
X Link 2025-11-11T22:08Z [---] followers, [--] engagements

"1/4 Public Subnet Public Server. Private Subnet You Cant Access It. Most beginners misunderstand VPC design. πŸ‘‡ RT if you like. #LeetCode #100daysofcodingchallenge #AWS"
X Link 2025-11-11T23:56Z [---] followers, [---] engagements

"2/4 This is the most common and secure web application setup on AWS: Public Subnets Only Load Balancer + EC2 (exposed to the internet) Private Subnets Databases + Internal Resources (not reachable directly) Internet Gateway Allows public traffic to reach the ALB"
X Link 2025-11-11T23:56Z [---] followers, [--] engagements

"2/4 Auto Scaling Group Dynamically adds/removes EC2 instances based on load AWS Secrets Manager Stores DB credentials securely (no .env leaks 🀝)"
X Link 2025-11-11T23:56Z [---] followers, [--] engagements

"3/4 🧠 Why This Design Works It ensures: Your app is reachable (via ALB) Your database is protected (in private subnet) Secure access control (security groups + IAM) Automatic scaling under traffic spikes"
X Link 2025-11-11T23:56Z [---] followers, [--] engagements

"4/4 Save this. Youll rebuild this architecture in 80% of real-world AWS projects"
X Link 2025-11-11T23:56Z [---] followers, [--] engagements

"In India right now: Perplexity Pro Free ChatGPT Go Free Gemini Pro Free We arent the customers. Were the dataset. India has quietly become the largest real-world testing lab for AI. In the AI era when the product is free your data is the price. RT if this made you think"
X Link 2025-11-12T00:21Z [---] followers, [---] engagements

"@CodeToCloudxx Cloud formation will be helpful when there is no Terraform module available for new AWS resources"
X Link 2025-11-12T05:07Z [---] followers, [--] engagements

"πŸš€ Top [--] DevOps Challenges for Beginners in 2025/26 [--] Tool Overload Jenkins GitHub Actions ArgoCD Terraform You try learning everything but end up mastering nothing. [--] Cloud Confusion AWS alone feels like a different planet 🌩 [--] YAML Fatigue One wrong indent and everything falls apart πŸ’€ [--] Pipeline Security Shift-left security sounds easy until your build fails πŸ” [--] Automation Mindset Writing scripts is easy. Thinking automation-first takes time. 🀯 πŸ’‘ Where to start πŸ‘‰ Begin with Git Linux Docker Cloud (AWS basics) and CI/CD fundamentals before jumping into Kubernetes or Infrastructure as"
X Link 2025-11-12T06:36Z [---] followers, [---] engagements

"@NanouuSymeon Okta"
X Link 2025-11-12T18:58Z [---] followers, [--] engagements

"πŸš€ DevOps Explained in [--] Minutes (Super Simple) DevOps is not a tool. It's a way of building and shipping software faster safer and with fewer problems. Heres DevOps in the simplest possible way: [--] Write the code Developers build new features. [--] Test the code Make sure nothing is broken. [--] Build & package the app Turn it into a container (Docker). [--] Deploy the app Send it to servers (AWS EC2 ECS EKS etc.) [--] Monitor everything Logs metrics alerts make sure the app is healthy. [--] Fix & improve Find issues quickly and patch them. [--] Automate all steps CI/CD pipelines automate build test deploy."
X Link 2025-11-14T18:47Z [---] followers, [--] engagements

"πŸš€ Terraform in [--] Seconds Terraform = Infrastructure as Code. Write your infra Terraform builds it. Why DevOps folks love it: IaC & version control Multi-cloud (AWS/Azure/GCP) Shows changes before applying Smart dependency graph Automates infra changes safely #LearnInPublic #100DaysOfCode https://twitter.com/i/web/status/1989550299753943502 https://twitter.com/i/web/status/1989550299753943502"
X Link 2025-11-15T04:25Z [----] followers, [---] engagements

"What's the killer feature of standardized A2A that a simple multi-LLM conversation can't replicate πŸ‘‡"
X Link 2025-11-15T08:09Z [---] followers, [--] engagements

"@elonmusk but what new problems this will bring along with benefits"
X Link 2025-11-15T08:11Z [---] followers, [----] engagements

"@Shay_Slay_ Starting the work late is better than thinking about time waste"
X Link 2025-11-16T03:47Z [---] followers, [--] engagements

"If youre serious about AI learn in this order: [--] Python [--] Numpy Pandas [--] Math (Linear Algebra + Stats) [--] ML basics [--] Deep Learning [--] LLMs [--] LangChain / LangGraph [--] Deploying models No shortcuts. ✨πŸ”₯ #BuildInPublic"
X Link 2025-11-16T06:06Z [---] followers, [---] engagements

"πŸ”₯ The HTTP Status Codes Every Developer Should Know [---] Continue [---] Switching Protocols [---] OK [---] Created [---] Accepted [---] No Content [---] Moved Permanently [---] Found [---] Not Modified [---] Bad Request [---] Unauthorized [---] Forbidden [---] Not Found [---] Method Not Allowed [---] Request Timeout [---] Conflict [---] Too Many Requests [---] Internal Server Error [---] Not Implemented [---] Bad Gateway [---] Service Unavailable [---] Gateway Timeout"
X Link 2025-11-16T13:04Z [---] followers, [---] engagements

"@elonmusk @elonmusk When will the entire world get access to Starlink @grok"
X Link 2025-11-16T13:29Z [---] followers, [--] engagements

"@grok @elonmusk Why not other countries except Russia and Chaina Every where it's because of policies"
X Link 2025-11-16T13:34Z [---] followers, [--] engagements

"Todays X/Spotify/ChatGPT outage A reminder of what happens when the internet depends on only Cloudflare. Real resilience = Multi-CDN + smart routing + circuit breakers. This combo has saved teams from massive downtime again and again. How do you handle CDN failover in your setup #DevOps #SRE #Cloudflare #OutageAnalysis"
X Link 2025-11-18T14:56Z [---] followers, [---] engagements

"AWS: Major outage [--] Oct [----] Azure: Major outage [--] Oct [----] Cloudflare: Major outage today At this point whos next πŸ‘€ #DevOps #SRE #Cloud #Outages"
X Link 2025-11-18T15:30Z [---] followers, [---] engagements

"GEMINI [---] LAUNCH Googles most advanced AI model is now available in the Gemini app and for developers. The era of agentic AI has arrived. Key features: - [--] MILLION TOKEN CONTEXT WINDOW: Analyzes massive datasets entire codebases or long documents. - ADVANCED CODING: Tops coding benchmarks and builds UIs and dashboards from simple prompts. - AGENT CAPABILITIES: Supports tool use and multi-step planning. Features like Gmail organization and meeting planning are available to Gemini Ultra subscribers. - VEO [--] TEXT-TO-VIDEO: Generates 4K videos with synced audio and realistic physics. Coming"
X Link 2025-11-18T20:03Z [---] followers, [---] engagements

"DevOps looks glamorous on the outside but its built on hard-earned lessons every engineer eventually learns. Here are the [--] DevOps Golden Rules that truly matter: [--] Things will break. Be ready. Pipelines deployments nodes certificates DNS secrets something will always fail. Works on my laptop means nothing in production. Success in DevOps = fast detection + fast recovery. [--] Focus on reliability not perfection. Perfect code is useless if the system crashes at [--] AM. Reliability clever engineering. Simple predictable systems win more often than complex ones. [--] Document everything. Tribal"
X Link 2025-11-19T06:01Z [---] followers, [----] engagements

"πŸš€ [--] Types of AI Agents - Explained Simply (But Powerfully) AI isnt just about models anymore. Its about agents that observe think plan & act. Here are the [--] core types of AI agents - each shaping the future of automation robotics & agentic AI πŸ‘‡ [--] Simple Reflex Agents If X do Y. ⚑ Fast πŸ”„ Reactive 🧠 No memory Example: If obstacle detected turn left. Used in basic robots thermostats & rule-based systems. [--] Model-based Reflex Agents They remember with an internal state. πŸ“ Track past events πŸ‘€ Handle partial info 🧩 Smarter than simple reflex Example: A cleaning robot remembering which rooms"
X Link 2025-11-22T04:28Z [---] followers, [---] engagements

"Hey @X πŸ‘‹ Im looking to #CONNECT with people who are into: 🐍 Python 🧠 AI Agents πŸ’‘ DSA 🌐 Full-Stack Dev πŸ’Ό Freelancing 🎨 Frontend βš™ Backend 🟩 Node.js πŸš€ DevOps ☸ Kubernetes πŸ”₯ LeetCode Lets swap tips collab on projects and #LearnInPublic together Whats your top skill A) Python B) DevOps C) DSA D) Other (mention it) or ( say hi ) πŸ‘‡ Reply & lets grow together"
X Link 2025-11-22T06:38Z [---] followers, [--] engagements

"Hey @X πŸ‘‹ Im looking to #CONNECT with people who are into: 🐍 Python 🧠 AI Agents πŸ’‘ DSA 🌐 Full-Stack Dev πŸ’Ό Freelancing 🎨 Frontend βš™ Backend 🟩 Node.js πŸš€ DevOps ☸ Kubernetes πŸ”₯ LeetCode Lets swap tips collab on projects and #LearnInPublic together Whats your top skill A) Python B) DevOps C) DSA D) Other (mention it) or ( say hi ) πŸ‘‡ Reply & lets grow together #LetsConnect #100DaysOfCode"
X Link 2025-11-22T06:39Z [---] followers, [---] engagements

"@elonmusk Im looking to #CONNECT with people who are into: 🐍 Python 🧠 AI Agents πŸ’‘ DSA 🌐 Full-Stack Dev πŸ’Ό Freelancing 🎨 Frontend βš™ Backend 🟩 Node.js πŸš€ DevOps ☸ Kubernetes πŸ”₯ LeetCode Lets swap tips collab on projects and #LearnInPublic together"
X Link 2025-11-22T06:54Z [---] followers, [---] engagements

"πŸ”₯ DevOps Scenario That Every Engineer Has Faced You deploy a small fix to production Suddenly: CPU spikes Pods restart Alerts explode Slack wakes up Everyone says It was working [--] mins ago Then you: βœ” Roll back βœ” Patch quickly βœ” Act like nothing ever happened βœ” And later you proudly say: Smooth deployment overall. πŸ˜ŒπŸ’β™‚ Welcome to DevOps - calm outside chaos inside"
X Link 2025-11-23T08:11Z [---] followers, [---] engagements

"AWS announced a game-changer πŸš€ Amazon API Gateway (REST APIs) now has direct private integration with Application Load Balancers (ALBs). No more intermediary Network Load Balancer (NLB) needed This means: πŸ“‰ Lower latency (fewer hops) πŸ’° Reduced costs (no NLB charges) πŸ— Simpler architecture & less overhead"
X Link 2025-11-24T12:13Z [---] followers, [---] engagements

"I don't think so something exists for Free Do you know the best alternative for this https://t.co/o0nGbV3AAr Do you know the best alternative for this https://t.co/o0nGbV3AAr"
X Link 2025-11-25T04:16Z [----] followers, [---] engagements

"πŸ”₯ AWS Interview Scenarios - Real World Not Theory [--] The IAM Policy Shock:- You created an IAM policy allowing S3 access but your Lambda still throws AccessDenied. Whats the first thing you check [--] The EC2 Mystery Reboot:- Your EC2 instance restarts every night at [--] AM. No CloudWatch alarms. No Auto Scaling. No cron. What do you investigate first [--] The Broken Load Balancer:- ALB health checks failing but the app works when you hit the EC2 public IP directly. What are the top [--] things you verify [--] The RDS Slow Query Nightmare:- Your RDS CPU is consistently at 90% and application performance"
X Link 2025-11-25T17:55Z [---] followers, [---] engagements

"πŸ”₯ AWS Interview Scenarios - With Answers [--] IAM Policy Shock Scenario: You created an IAM policy allowing S3 access but your Lambda still throws AccessDenied. Whats the first thing you check βœ…Answer: Check whether the Lambda Execution Role (not the user role not a random IAM role) actually has the S3 permissions attached. This includes: --Confirm Lambda is using the correct execution role --Check if the policy is attached to the role (inline or managed) --Ensure policy contains both: s3:GetObject / PutObject (object-level) s3:ListBucket (bucket-level) if listing --Confirm the S3 bucket policy"
X Link 2025-11-26T04:13Z [---] followers, [---] engagements

"Still debugging with print() πŸ˜… Try IceCream - it shows both the expression and the value. #100DaysOfCode #CONNECT with Python Developers"
X Link 2025-11-26T05:53Z [---] followers, [---] engagements

"AWS: Oct [--] Azure: Oct [--] Oracle: Oct [--] Cloudflare: Nov [--] Google Meet: Nov [--] At this point the cloud in [----] is running on pure luck prayer and whatever duct tape is left behind the servers. β˜πŸ˜…βš‘ #GoogleMeet"
X Link 2025-11-26T09:56Z [---] followers, [---] engagements

"@nalinrajput23 People use Macs for different reasons: Some for performance Some because theyre used to the Unix commands Some for the ecosystem And yes some for pure showoff πŸ˜…"
X Link 2025-11-26T18:43Z [---] followers, [--] engagements

"@nalinrajput23 looking for a garage πŸ˜…"
X Link 2025-11-26T18:49Z [---] followers, [--] engagements

"Stop living in Pending status. Run the command"
X Link 2025-11-26T18:58Z [---] followers, [--] engagements

"🧬 Just explored the new AWS Strands Agents SDK - and wow. If fully-managed agents feel too restrictive this is exactly what youve been waiting for. The name Strands comes from how it connects two core pieces (like DNA): [--] The Model the brain reasoning [--] The Tools the actions execution Its open-source Python-based and model-agnostic (Bedrock Ollama Anthropic plug anything in). Finally a clean lightweight way to build agentic loops without orchestration spaghetti. πŸπŸ€– πŸ”œ Ill be posting more deep-dives on Strands soon - stay tuned. #AWS #100DaysOfCode"
X Link 2025-11-27T07:19Z [---] followers, [---] engagements

"Do people still use StackOverflow The place that once carried the entire software industry on its shoulders"
X Link 2025-11-27T12:59Z [---] followers, [---] engagements

"πŸ“š Bookmark This: Kubernetes Architecture Demystified (8 Blocks) πŸ”Ή Control Plane Core API Server:- Central gateway of Kubernetes Validates every request from users controllers and components Exposes the Kubernetes API for all communication etcd:- Highly available consistent key-value store Stores entire cluster state: nodes pods configs events Scheduler:- Assigns Pods to the most suitable worker nodes Considers CPU memory taints affinities and constraints πŸ”Ή Controllers Controller Manager:- Runs background reconciliation loops ReplicaSet Controller:- Ensures desired number of Pod replicas"
X Link 2025-11-29T08:34Z [---] followers, [---] engagements

"Real Interview-Questions and Answers - DevOps + AWS + Kubernetes. [--] Can you explain the difference between a Deployment and a StatefulSet My Answer: In Kubernetes I use Deployments for stateless apps like frontends or APIs. They dont maintain pod identity which is fine for stateless workloads. But for databases like MongoDB Redis Kafka I use StatefulSets. They provide stable pod names stable network identity and PVC-based persistent storage. Simple rule: Deployment stateless StatefulSet stateful + persistent. [--] Whats the difference between a ConfigMap and a Secret My Answer: ConfigMap stores"
X Link 2025-11-30T04:20Z [---] followers, [---] engagements

"@karanjagtiani04 You should always use Secrets Manager in AWS for secrets similar in other Cloud Providers Keeping sensitive info in Kubernetes Secrets or configmap is not good solution"
X Link 2025-11-30T19:08Z [---] followers, [--] engagements

"@CodeToCloudxx I feel python will be the leader but majority of enterprise products will be of GO"
X Link 2025-12-02T05:25Z [----] followers, [--] engagements

"πŸš€ AWS launches AI Factories turning customers existing data centers into high-performance AI environments. Highlights: Dedicated AWS AI infra deployed on-prem GPUs Trainium storage databases networking Works like a private AWS Region with Bedrock + SageMaker access Uses latest NVIDIA Grace Blackwell & Vera Rubin platforms Future Trainium4 + NVLink Fusion support Helps governments & regulated industries meet sovereignty + compliance Massive scale: 150000-chip AI Zone with HUMAIN (Saudi Arabia) AWS is basically bringing the clouds AI power directly into your data center. πŸ”₯ #AIFactory"
X Link 2025-12-02T17:22Z [---] followers, [---] engagements

"πŸš€ AWS just changed the game. AI Factories now turn your own data center into a high-performance AI powerhouse. On-prem AWS AI stack (GPUs + Trainium) Functions like a private AWS Region NVIDIA Grace Blackwell + Vera Rubin Built for sovereignty scale & serious AI AWS is basically delivering a mini AI cloud to your doorstep. πŸ”₯ #AWSreInvent #AIFactory"
X Link 2025-12-02T17:47Z [---] followers, [---] engagements

"🚨 Not using AI in [----] is the modern version of refusing to upgrade to Android during the Nokia era. Everyone else moved ahead. The world changed. Only one thing didnt: Those who stayed stuck stayed behind. The tools have evolved. Your career should too. Upgrade now or get left in the past"
X Link 2025-12-04T03:58Z [---] followers, [---] engagements

"No more coding for creating custom AI agents for - Google just made it possible with Workspace Studio"
X Link 2025-12-05T05:08Z [---] followers, [--] engagements

"πŸš€ How to Start as a DevOps Engineer (Zero Basics -- Advance) Step 1: Learn Linux basics Step 2: Understand Networking (Ports DNS IP Routing) Step 3: Learn Git + GitHub Step 4: Learn Python basics Step 5: Learn Cloud AWS preferred Step 6: Learn Containers Docker Step 7: Learn CI/CD GitHub Actions / Jenkins / Tekton Step 8: Learn Kubernetes basics Step 9: Learn Monitoring CloudWatch / Prometheus Step 10: Build [--] Mini Projects (end-to-end) πŸ’‘ Ill be posting more DevOps content from now on real-time examples practical scenarios and interview-level questions that help you grow from beginner to"
X Link 2025-12-05T05:34Z [---] followers, [---] engagements

"🚨 Something BIG is shifting in AI agents and AWS just quietly confirmed it. AWS is going all-in on the Model Context Protocol (MCP) and then handed it to the Linux Foundation. ✨ MCP Tasks A new call now fetch later pattern that: Survives restarts & failures Handles long-running operations Doesnt break on network drops Lets agents persist across cycles ✨ Elicitations Tools can now: Pause mid-operation Ask users for missing info Resume automatically Turn workflows into conversations ✨ And the quiet part AWS already built: Dozens of MCP servers Access to 15000+ AWS APIs Serverless MCP hosting"
X Link 2025-12-09T20:24Z [---] followers, [---] engagements

"πŸ”₯ Linux Essentials for DevOps - Made Super Simple If you want to understand Linux the easy way start with these daily-use topics: Moving around files and folders Connecting to servers using SSH Checking and managing running programs Starting and stopping services Basic networking commands Checking logs and system health Installing or updating software Searching and editing text (grep/sed/awk) Basic shell scripting Want the guide Find. πŸ‘‡ πŸ”₯ Linux Essentials for DevOps - High-Level Breakdown Want the guide Find. πŸ‘‡ Daily In Use Content: Navigation & File Ops SSH & Remote Access Process"
X Link 2025-12-10T04:11Z [---] followers, [---] engagements

"πŸš€ Simplifying AWS Architectures with Direct API Gateway ALB Integration AWS just removed one of the most common architectural hurdles. Previously connecting API Gateway to backend services meant routing through an NLB before hitting an ALB. That extra hop is now gone. βœ… Before API Gateway ➝ NLB ➝ ALB βœ… Now API Gateway ➝ ALB (direct integration) This update brings: Lower latency one less network hop Lower cost no NLB required Cleaner architecture fewer moving components Better maintainability ALB rules + API Gateway mapping = flexible design A small change with a big impact on how we design"
X Link 2025-12-10T06:38Z [---] followers, [---] engagements

"Cloud Engineering is BOOMING. Heres how to get in πŸ’₯"
X Link 2025-12-10T15:10Z [---] followers, [---] engagements

"AWS Simplified the Apigateway and ALB Integration βœ… Before API Gateway ➝ NLB ➝ ALB βœ… Now API Gateway ➝ ALB (direct integration) πŸš€ Simplifying AWS Architectures with Direct API Gateway ALB Integration AWS just removed one of the most common architectural hurdles. Previously connecting API Gateway to backend services meant routing through an NLB before hitting an ALB. That extra hop is now gone. βœ… https://t.co/sOfRcOeKHA πŸš€ Simplifying AWS Architectures with Direct API Gateway ALB Integration AWS just removed one of the most common architectural hurdles. Previously connecting API Gateway to"
X Link 2025-12-11T05:57Z [---] followers, [---] engagements

"Cloud Engineering is BOOMING. Heres how to get in πŸ’₯"
X Link 2025-12-11T21:07Z [---] followers, [---] engagements

"@twtayaan Python is good start and master always"
X Link 2025-12-16T15:43Z [---] followers, [--] engagements

"DevOps in plain English πŸ‘‡ ☁ Cloud AWS / GCP / Azure - cloud platforms Terraform - infrastructure as code 🐚 Scripting Bash - quick automation Python - advanced automation πŸ“¦ Containers Docker - application packaging Kubernetes - container orchestration πŸ” CI/CD Jenkins - build automation GitHub Actions - integrated pipelines ArgoCD - Kubernetes-native CD πŸ“Š Observability Prometheus - metrics collection Grafana - visualization Datadog - metrics logs traces 🌱 Version Control Git - versioning GitHub - collaboration πŸ” DevSecOps Checkov - IaC scanning SonarQube - code quality Wiz - cloud &"
X Link 2025-12-17T04:02Z [---] followers, [---] engagements

"Tom Cruise at [--] Action hero Software engineer at [--] Back pain Ergonomics matter more than you think"
X Link 2025-12-17T06:18Z [---] followers, [---] engagements

"Microsofts MarkItDown is a total game changer for AI devs πŸš€ Stop struggling with messy file formats. This open-source Python library converts Word Excel and PowerPoint into clean LLM-ready Markdown exactly what modern AI pipelines need. It also supports rich content extraction: πŸ“Έ Images AI-generated descriptions πŸŽ™ Audio Speech-to-text transcription Perfect for RAG and LLM workflows. 84k+ GitHub stars already πŸ”— #Python #AI #OpenSource #Microsoft #MarkItDown #LLM #RAG https://github.com/microsoft/markitdown https://github.com/microsoft/markitdown"
X Link 2025-12-18T05:07Z [---] followers, [---] engagements

"They dont break helm lint. They dont fail CI. They dont show up in PR reviews. Everything looks green until prod starts serving 404s or running yesterdays image. This is why Helm issues are dangerous. Not loud. Silent. You dont need perfect charts. You need predictable ones. Whats the worst Helm bug that slipped into prod for you βš“πŸ‘€"
X Link 2025-12-18T07:55Z [---] followers, [---] engagements

"Any new stuff in AWS will be available in Cloudformation immediately after release but not in Terraform Having hands-on with Cloudformation is always good AWS cli is the go for any quick tasks to execute CloudFormation vs AWS CLI You can automate AWS resources using the CLI but CloudFormation offers much more: AWS CLI: Scripts run commands to create resources quickly but they arent grouped in a stack. Updating or deleting resources requires manual tracking and care to CloudFormation vs AWS CLI You can automate AWS resources using the CLI but CloudFormation offers much more: AWS CLI: Scripts"
X Link 2025-12-18T16:22Z [---] followers, [---] engagements

"DevOps isnt about tools. Its about layers. Heres what a real-world DevOps stack looks like πŸ‘‡ πŸ–₯ System & Scripting Linux Shell Python 🌱 Version Control Git GitHub GitLab πŸ” CI/CD Jenkins GitHub Actions ArgoCD Flux πŸ— Infrastructure as Code Terraform CloudFormation πŸ“¦ Containers & Orchestration Docker Kubernetes Helm ☁ Cloud AWS Azure GCP βš™ Config Management Ansible Chef Puppet πŸ“Š Observability Prometheus Grafana ELK Datadog πŸ” Security SonarQube Trivy OWASP 🌐 Networking Nginx HAProxy Ingress πŸ—„ Databases & Storage You dont need to master all at once. Build layer by layer. Foundations tools"
X Link 2025-12-20T05:05Z [---] followers, [---] engagements

"Helm vs Kustomize in plain English They both help you deploy Kubernetes YAML. They solve different problems. Think of it like this πŸ‘‡ 🎁 Helm = a packaged app 🏬 Helm chart = a ready-made kit πŸ“¦ Values = knobs you turn You install it like: Give me this app with these options. Helm: uses templates replaces variables at install time hides raw YAML behind logic Why Helm exists: reuse apps easily share complex setups install big systems fast (Prometheus Argo etc.) Key idea: Helm generates Kubernetes YAML 🧩 Kustomize = customize what already exists 🧱 Base YAML = your starting point 🎨 Overlays ="
X Link 2025-12-21T12:40Z [---] followers, [----] engagements

"Most outages dont happen because of bugs. They happen because of assumptions. Think about it πŸ‘‡ ❌ This service will always be up ❌ Traffic wont spike today ❌ That config never changes Systems dont fail suddenly. They fail quietly then all at once. What strong engineers do differently πŸ‘‡ Design for failure Expect retries Add limits & timeouts Make rollback boring Monitor before users complain Key idea πŸ’‘ Reliability is built before incidents not during them. Whats the most painful outage youve learned from πŸ‘‡"
X Link 2025-12-24T04:07Z [---] followers, [---] engagements

"🧠 Kubernetes Resources: Use them right not randomly Most production issues dont come from bugs. They come from bad resource settings. Think of it like this πŸ‘‡ βœ… Request = what my container needs to run ❌ Limit = the maximum its allowed to use πŸ“¦ Quota = the teams total budget What actually happens πŸ‘‡ ⚑ Scheduler uses Requests πŸ’₯ OOMKills happen because of Limits 🚦 Teams hit walls because of Quotas Common mistakes ❌ No requests (pods fight for CPU) Limits too tight (random crashes) No quota (one team eats the cluster) The right approach βœ… βœ” Set realistic requests (based on usage) βœ” Use"
X Link 2025-12-24T07:22Z [---] followers, [---] engagements

"🧠 Docker Architecture is simple not magical Most people think Docker is a black box. Its not. Everything follows a clear flow πŸ‘‡ πŸ–₯ Client where commands start βš™ Daemon listens via API 🧩 Engine builds & runs πŸ“¦ Images immutable blueprints Containers running instances πŸ—„ Registry store & share images πŸ’‘ Key idea Docker is a clientserver system not a single tool. Once you see the flow Docker stops feeling confusing and starts feeling boring (in a good way). πŸ‘‡ What part of Docker clicked last for you #Tech https://twitter.com/i/web/status/2003737075187900794"
X Link 2025-12-24T07:58Z [---] followers, [---] engagements

"@karanjagtiani04 Thank You Karan we have to check the Resource utilisation DataDog will helps"
X Link 2025-12-24T09:42Z [---] followers, [--] engagements

"Most systems dont fail because of bad code. They fail because of early decisions. Too simple cant scale Too complex cant move The real skill isnt choosing monolith or microservices. Its knowing when to change. Engineering is timing not trends. πŸ” What decision came back to haunt you πŸ‘‡"
X Link 2025-12-24T17:16Z [---] followers, [---] engagements

"πŸ‘€ CloudWatch vs CloudTrail - dont mix them up Same cloud. Very different jobs. πŸ“Ή CloudWatch Watches whats happening now Metrics logs alarms Is my system healthy πŸ“ CloudTrail Records what already happened API calls user actions Who did what and when πŸ’‘ Think of it like this: CloudWatch = CCTV camera CloudTrail = police logbook If youre debugging outages CloudWatch If youre auditing changes CloudTrail Real reliability needs both. Which one did you misunderstand first πŸ‘‡ https://twitter.com/i/web/status/2003887643445354565 https://twitter.com/i/web/status/2003887643445354565"
X Link 2025-12-24T17:56Z [----] followers, [---] engagements

"Vibe Coding is helpful to Start not to Complete https://t.co/esX8wzxS7D https://t.co/esX8wzxS7D"
X Link 2025-12-25T09:03Z [---] followers, [---] engagements

"Two candidates know the same stack. One gets rejected. One gets hired. DevOps #interviews dont reject you for missing a tool. They reject you for missing "reasoning". The difference isnt Kubernetes or Terraform. Its this πŸ‘‡ Can you explain why the system failed Can you stop the problem from spreading when things break Can you choose between options and explain the trade-offs Can you design systems expecting failures not hoping they wont happen Tools are easy to learn. Thinking during failures is not. πŸ’‘ DevOps isnt about what you know. Its about how you think when things go wrong. What was"
X Link 2025-12-25T10:24Z [---] followers, [---] engagements

"Monitoring without resolution = noise. Dashboards dont fix incidents. Alerts dont restore services. Only actionable signals do. ❌ 100s of alerts with no owner ❌ Metrics without thresholds ❌ Dashboards no one checks at 3AM βœ… Alerts tied to decisions βœ… Clear runbooks βœ… One signal one action one outcome If an alert doesnt tell you what to do next its not monitoring its distraction. Signal Noise. Agree πŸ‘‡"
X Link 2025-12-26T09:21Z [---] followers, [---] engagements

"@kaif9999 Should be Names not Creds"
X Link 2025-12-26T13:05Z [---] followers, [--] engagements

"A practical learning flow to become a Cloud Engineer [--] Cloud fundamentals first Compute storage networking - concepts before tools. [--] Pick ONE cloud AWS / Azure / GCP. Depth beats multi-cloud confusion. [--] Core services VMs VPC Load Balancers IAM Storage. [--] Security early (not last) IAM least privilege network security. [--] Automation mindset Terraform / CloudFormation. If you click youre already late. [--] Containers & orchestration Docker Kubernetes. Why it exists matters more than YAML. [--] Monitoring & observability CloudWatch logs metrics alerts. You cant fix what you cant see. [--] DevOps"
X Link 2025-12-26T18:13Z [---] followers, [---] engagements

"Kubernetes Learning Path (Simple) Linux basics Containers (Docker) Kubernetes architecture Pods ReplicaSets Deployments Services Ingress ConfigMaps Secrets Resource requests limits Scaling (HPA) Storage (Volumes PV PVC) RBAC & security basics Monitoring & logging Helm GitOps Cloud Kubernetes (EKS / GKE / AKS) Troubleshooting Thats it 🎯 you can work with Kubernetes now. Drop your additions below πŸ‘‡"
X Link 2025-12-27T04:00Z [---] followers, 51.9K engagements

"Why Terraform Still Dominates IaC Not because it's trendy. Not because it's easy. Because it solves the hard problems. 🧠 Declarative by design You define what you want Terraform figures out how to get there πŸ“¦ State-driven control Knows what exists Detects drift Applies only what changed πŸ”Œ Provider-based architecture AWS Azure GCP Kubernetes One workflow many platforms πŸ§ͺ Plan before apply See the blast radius first Safer changes fewer surprises πŸ“ˆ Scales with teams Modules versioning reviewable diffs Works in CI/CD not just laptops πŸ’‘ Terraform doesnt manage servers. It manages intent."
X Link 2025-12-27T09:05Z [---] followers, [----] engagements

"Most Terraform issues arent syntax problems. They're: Bad state management Unclear ownership Skipping terraform plan Applying under pressure Across any environment IaC fails when process fails. What's the biggest Terraform mistake you've seen in production or Any environment feel free to add in comments πŸ‘‡ Why Terraform Still Dominates IaC Not because it's trendy. Not because it's easy. Because it solves the hard problems. 🧠 Declarative by design You define what you want Terraform figures out how to get there πŸ“¦ State-driven control Knows what exists Detects drift https://t.co/765nfqXbz2 Why"
X Link 2025-12-27T09:26Z [---] followers, [---] engagements

"If your Kubernetes Deployment feels boring. it means nothing broke. Thats not luck. Thats good design. 1/3🧠 Kubernetes Deployments: Use them wisely not blindly A Deployment is not just "run my app". Its a control system that manages change safely. Heres what a Deployment really does πŸ‘‡ πŸ” Versioning v1 and v2 dont overwrite each other New Pods are created gradually https://t.co/WkTqsk3EoH 1/3🧠 Kubernetes Deployments: Use them wisely not blindly A Deployment is not just "run my app". Its a control system that manages change safely. Heres what a Deployment really does πŸ‘‡ πŸ” Versioning v1 and"
X Link 2025-12-27T10:31Z [---] followers, [---] engagements

"Most people "learn Python". I did too. Production taught me everything else. Heres the Professional Python Path πŸ‘‡ [--] Modern Environment reproducibility [--] Project Anatomy structure & ownership [--] DevContainers consistency [--] Static Analysis correctness [--] Pytest Excellence confidence [--] Pre-Commit discipline [--] AsyncIO & Concurrency scale [--] Pydantic Safety contracts [--] API Design usability πŸ”Ÿ Elite Containers deployment [--] Observability visibility [--] Python CD Pipeline reliability Tutorials teach syntax. Production demands discipline. You dont need all of this on day one. But you will need it"
X Link 2025-12-27T11:51Z [---] followers, [----] engagements

"3 DevContainers consistency Same OS same tooling same setup for everyone No setup docs no "works on my machine" no hidden differences Consistency saves time before bugs even exist. Next #4 Static Analysis correctness Most people "learn Python". I did too. Production taught me everything else. Heres the Professional Python Path πŸ‘‡ [--] Modern Environment reproducibility [--] Project Anatomy structure & ownership [--] DevContainers consistency [--] Static Analysis correctness [--] Pytest Most people "learn Python". I did too. Production taught me everything else. Heres the Professional Python Path πŸ‘‡ [--] Modern"
X Link 2025-12-27T12:50Z [---] followers, [---] engagements

"12 Python CD Pipeline reliability Every change tested built once deployed the same way No hero deploys no midnight fixes boring releases Boring deploys reliable systems. Congrats πŸŽ‰ Youve gone from tutorial Python to professional Python"
X Link 2025-12-27T13:38Z [---] followers, [--] engagements

"@brankopetric00 Observability without signal design is just noise at scale"
X Link 2025-12-27T23:39Z [---] followers, [----] engagements

"Why Terraform Remains Untouched. Config files Terraform Core Providers Target infrastructure State file = consistency. Locks prevent drift and surprises. Declarative. Repeatable. Multi Cloud by design. This architecture is why Terraform still sets the standard for IaC. Why Terraform Still Dominates IaC Not because it's trendy. Not because it's easy. Because it solves the hard problems. 🧠 Declarative by design You define what you want Terraform figures out how to get there πŸ“¦ State-driven control Knows what exists Detects drift https://t.co/765nfqXbz2 Why Terraform Still Dominates IaC Not"
X Link 2025-12-28T04:53Z [---] followers, [---] engagements

"@obvilionab Terraform can be used for day-to-day networking tasks like Critical Handlings in ALB security groups whitlisting the IP's and its port numbers. Also controlling WAF which is like Frontline Firewall"
X Link 2025-12-28T08:51Z [---] followers, [--] engagements

"There multiple stages the control will be Ex: For AWS accounts enterprises level WAF's few choose to create with terraform and only CloudSec teams will control those. But independent Application wise it's upto Application scope and its owners decesion to allow or deny through Security Groups. Yes these I seen managing through Terraform My self involved in creating Infra"
X Link 2025-12-28T10:20Z [---] followers, [--] engagements

"@e_opore Nicely Explained One of the Toughest concept Many Miss and Pays Over money"
X Link 2025-12-28T14:10Z [---] followers, [--] engagements

"Waiting for perfection kills momentum fast. Suddenly you're in - crunch mode - tight schedules - unexpected short deadlines - scrambling to get deployments live as a DevOps engineer. Ship iterative fix later. Momentum perfection every time. Stop trying to design the 'perfect' architecture on a whiteboard for six months. Ship a simple working version get feedback and iterate your grand design is wrong anyway. Stop trying to design the 'perfect' architecture on a whiteboard for six months. Ship a simple working version get feedback and iterate your grand design is wrong anyway"
X Link 2025-12-28T21:32Z [---] followers, [--] engagements

"Software I use daily as a DevOps: GitHub VS Code Terraform Argo CD Tekton Quay kubectl AWS Console GCP GKE Datadog SonarQube Wiz Scan Python Bash ChatGPT Draw io And many others Which software is always open on your machine Software I use daily as a DevOps. - GitHub - Vs Code - Putty (CLI) - OpenSearch - Argo CD - Terraform - AWS Console - Notepad ++ - AppView X - Edge - Chat GPT What's yours Software I use daily as a DevOps. - GitHub - Vs Code - Putty (CLI) - OpenSearch - Argo CD - Terraform - AWS Console - Notepad ++ - AppView X - Edge - Chat GPT What's yours"
X Link 2025-12-29T17:49Z [----] followers, [---] engagements

"@devops_nk Absolutely πŸ’― Hard to imagine a workday without using AI now. Claude Sonnet ChatGPT Grok and Gemini are go to tools for many"
X Link 2025-12-29T17:58Z [---] followers, [--] engagements

"AWS Learning Path (Simple) Cloud fundamentals (regions AZs pricing) AWS account setup & IAM basics Networking basics (VPC subnets routing) Compute (EC2 Auto Scaling) Serverless basics (Lambda triggers) Storage (S3 EBS EFS) Databases (RDS DynamoDB) Load balancing (ALB / NLB) Security basics (IAM policies SGs NACLs) Monitoring & logging (CloudWatch CloudTrail) Infrastructure as Code (Terraform / CloudFormation) Containers on AWS (ECS / EKS) CI/CD (CodePipeline / GitHub Actions) Cost management & optimization Troubleshooting & reliability Thats it 🎯 you can work with AWS now. What would you add"
X Link 2025-12-30T03:53Z [----] followers, 18.9K engagements

"Expanding on "Containers on AWS (ECS / EKS)": Here's a quick decision guide do you want velocity (ECS) or sovereignty (EKS) Thread πŸ‘‡ https://x.com/asynctrix/status/2003809533362069961s=20 πŸš€ EKS vs ECS: Speed or Sovereignty You Cant Have Both Choosing a container orchestrator on AWS isnt about features. Its about which pain youre willing to accept. 🧠 EKS (Kubernetes on AWS) You optimize for control. βœ” Deep customization βœ” Kubernetes ecosystem βœ” https://t.co/bwNJoywsYa https://x.com/asynctrix/status/2003809533362069961s=20 πŸš€ EKS vs ECS: Speed or Sovereignty You Cant Have Both Choosing a"
X Link 2025-12-30T10:27Z [---] followers, [---] engagements

"Expanding on "Monitoring & Logging (CloudWatch & CloudTrail)" Here is the Simple Explanation to Understand them Better without Confusion Thread πŸ‘‡ https://x.com/i/status/2003887643445354565 https://x.com/i/status/2003887643445354565"
X Link 2025-12-30T11:23Z [----] followers, [---] engagements

"Git & GitHub Learning Path (Simple & Practical) Version control basics Git install & config Repository init first commits Working tree staging commit Undo basics (reset / revert / amend) Branching & switching Merge vs rebase Remote repos (origin clone) Fetch pull push Pull requests & branching workflow (GitHub Flow) Code reviews Conflict resolution Stash & cherry-pick Tags & releases Issues & projects GitHub Actions (CI basics) Repo security (branch protection secrets) 🎯 Thats it you can confidently contribute to real projects now. Add your suggestions πŸ‘‡"
X Link 2025-12-30T12:02Z [---] followers, [----] engagements

"Kubernetes Scaling isn't one feature (Explained in Simple Terms) Pods need scaling Nodes need scaling Resources need right-sizing Time sometimes needs planning Different problems different scalers. Thats the real picture. πŸ‘‡Breakdown in the original thread. 1/7 Kubernetes Scaling Options (Simple) HPA Custom Metrics KEDA Cluster Autoscaler VPA Predictive / Scheduled scaling These cover almost all real-world Kubernetes scaling scenarios. πŸ‘‡ Replies break each one down 1/7 Kubernetes Scaling Options (Simple) HPA Custom Metrics KEDA Cluster Autoscaler VPA Predictive / Scheduled scaling These"
X Link 2025-12-30T15:34Z [---] followers, [----] engagements

"AWS pain = Learning out of order. IAM learned late security pain Networking skipped architecture confusion Monitoring added last blind debugging IaC ignored early manual drift The path matters as much as the tools. AWS gets easier when fundamentals shape decisions not when services are learned in isolation. AWS Learning Path πŸ‘‡ AWS Learning Path (Simple) Cloud fundamentals (regions AZs pricing) AWS account setup & IAM basics Networking basics (VPC subnets routing) Compute (EC2 Auto Scaling) Serverless basics (Lambda triggers) Storage (S3 EBS EFS) Databases (RDS AWS Learning Path (Simple)"
X Link 2025-12-31T03:39Z [---] followers, [----] engagements

"@VTikke Good Visual workflow"
X Link 2025-12-31T05:38Z [----] followers, [--] engagements

"@MuthaNagavamsi It will be costly Read since printing block Eatup lots of black colour"
X Link 2025-12-31T10:04Z [---] followers, [--] engagements

"Kubernetes Core Components - Simplified Cluster basics API Server the front door etcd cluster state & truth Scheduler Pod placement logic Controller Manager desired vs actual state kubelet node-level execution kube-proxy Service networking Pods smallest deployable unit ReplicaSets Pod guarantees Deployments safe change & rollout Services stable access Ingress external traffic entry ConfigMaps configuration Secrets sensitive data Requests limits QoS Health checks (liveness / readiness) RBAC access control Events logs metrics Helm repeatable installs GitOps controlled deployments"
X Link 2026-01-01T02:56Z [----] followers, 68.5K engagements

"AWS just dropped EKS Capabilities (simplified) Core EKS basics Self-managed add-ons ops pain AWS-managed controllers no upkeep Argo CD managed GitOps ACK AWS via K8s CRDs KRO resource composition Opt-in per cluster Runs outside nodes no drain Security & scaling AWS-managed Same Kubernetes workflow 🎯 Less toil. Lighter clusters. Faster teams. No more fixing Argo CD at [--] AM πŸ˜„ https://twitter.com/i/web/status/2006635035903013277 https://twitter.com/i/web/status/2006635035903013277"
X Link 2026-01-01T07:54Z [---] followers, [----] engagements

"Build These Projects Become a DevOps Engineer in [----] Build a Linux troubleshooting lab Build log rotation & cleanup jobs Build a CI pipeline that fails correctly Build a deployment with rollback Build Docker image optimization Build image scanning & policy enforcement Build reverse proxy rules Build TLS certificate rotation Build metrics that trigger actionable alerts Build alert fatigue reduction Build a log correlation flow Build readiness & liveness checks Build autoscaling thresholds Build a blue-green or canary release Build a backup restore test (not just backups) Build a DR runbook"
X Link 2026-01-02T05:48Z [----] followers, 12.7K engagements

"Most In-Demand DevOps Tools Right now Kubernetes Terraform AWS Docker ArgoCD GitHub Actions Jenkins Python Prometheus & Grafana Datadog Tools are in demand. Foundations decide how far you go. Which one are you mastering this year Drop your additions below πŸ‘‡ https://twitter.com/i/web/status/2007440527848026565 https://twitter.com/i/web/status/2007440527848026565"
X Link 2026-01-03T13:14Z [----] followers, [----] engagements

"@sirius_sec Nice πŸ‘ It's a Solid Stack. which one challenged you the most to learn"
X Link 2026-01-03T15:13Z [---] followers, [--] engagements

"@sirius_sec That's a great journey πŸ‘ building cluster(GKE+Terraform) Can gain deeper Knowledge"
X Link 2026-01-03T15:21Z [---] followers, [--] engagements

"Ports aren't numbers. They're signals. Not something to memorize. Not random configuration. Think of it like this πŸ‘‡ πŸšͺ Port = a door πŸ“¦ Service = whats behind it Common signals youll see πŸ‘‡ [--] remote access (SSH) [--] / [---] user traffic (HTTP / HTTPS) [----] internal tools & CI [----] / [----] relational databases [----] cache & fast data access [-----] document database [----] / [----] dashboards & metrics Why ports matter πŸ‘‡ open ports = exposed services wrong port open = wrong access unknown port = something unexpected running unexpected open port = security investigation Key idea πŸ‘‡ DevOps doesnt"
X Link 2026-01-04T11:27Z [---] followers, [----] engagements

"@karanjagtiani04 Now Going with Datadog. But I feel reliable alerting comes from good signal that we design not from the tool. Even with Best tool we can get worst alerts if not configured well"
X Link 2026-01-04T11:40Z [---] followers, [--] engagements

"Python Learning Path (Simplified) Python fundamentals Syntax & indentation how Python reads code Variables naming data Data types int float string bool Operators math & logic Collections list tuple set dict Control flow if / elif / else Loops for / while Functions reusable logic Arguments & returns input/output of logic Scope local vs global Errors & exceptions try / except / finally Modules split code logically Imports how code connects Packages & pip reuse ecosystem Virtual environments isolate dependencies File handling read / write files JSON & CSV real-world data formats OOP basics class"
X Link 2026-01-05T03:58Z [---] followers, [----] engagements

"APIs Timeouts Failure handling (7/8) HTTP requests Timeouts Safe network calls"
X Link 2026-01-05T05:53Z [---] followers, [--] engagements

"@gael_elan101 Good Suggestion πŸ‘"
X Link 2026-01-05T09:37Z [---] followers, [--] engagements

"@sahill_og Congrats πŸ‘"
X Link 2026-01-05T10:13Z [---] followers, [--] engagements

"Before You Go for a DevOps Interview βœ… Check yourself honestly. Set up CI/CD from scratch Create production-ready infrastructure with IaC Debug network issues when apps cant connect Containerize legacy apps (not just hello-world) Deploy to Kubernetes with zero downtime on failures Design & manage Ingress (TLS routing canary) Write automation scripts (Shell / Python) Set up centralized logging Implement monitoring + actionable alerting Troubleshoot live incidents under pressure Manage secrets securely (no hard-coding) Troubleshoot live incidents under pressure Most people fail DevOps"
X Link 2026-01-06T03:20Z [----] followers, 11K engagements

"No More Confusion with AWS VPC AWS VPC from boundary to traffic flow(Simplified) VPC CIDR block (IP address space) Region (geographic boundary) Availability Zones (fault isolation) Subnets (network segmentation per AZ) Public subnet (internet-facing workloads) Private subnet (internal workloads) Route Tables (traffic decision logic) Internet Gateway (IGW) (internet connectivity) NAT Gateway (outbound-only access for private subnets) Elastic IP (static public address) Security Groups (stateful firewall resource level) Network ACLs (stateless firewall subnet level) Elastic Network Interface"
X Link 2026-01-06T04:40Z [----] followers, [----] engagements

"Stop Debating Languages. Start Automating. Docker Go Kubernetes Go containerd Go etcd Go Helm Go Terraform Go (HCL + Go core) Vault Go Nomad Go Prometheus Go Grafana Go (backend) ArgoCD Go Consul Go Cilium Go Istio Go Fluent Bit C Fluentd Ruby Ansible Python SaltStack Python OpenStack Python AWS CLI Python Azure CLI Python Google Cloud SDK Python Boto3 Python Kubectl plugins Go / Python / Bash CI/CD glue mostly Python & Shell Yes Go Is Everywhere Now Still Learn Python First "Dont chase luxury. Build quality" https://twitter.com/i/web/status/2008437125088530460"
X Link 2026-01-06T07:15Z [----] followers, [---] engagements

"No More Confusion with AWS API Gateway Client (Browser Mobile Service) API Gateway (single entry point) API Types HTTP API lightweight low latency low cost REST API authentication validation usage plans WebSocket API real-time bidirectional communication Request Flow Routing path + HTTP method matching Authorization IAM Cognito Lambda authorizer Throttling rate limits burst control Validation request & payload checks Backend Integration Lambda serverless execution ALB / EC2 containers or virtual machines AWS services S3 DynamoDB Step Functions Performance & Control Caching reduced latency"
X Link 2026-01-07T03:20Z [----] followers, [----] engagements

"No More Confusion with AWS Lambda Event Sources API Gateway HTTP requests S3 object uploads DynamoDB stream events EventBridge scheduled & event-driven triggers Execution Model Lambda Function stateless code execution Invocation event handler response Runtime Python Node.js Java Go etc. Scaling Behavior Automatic scaling one request = one execution Concurrency parallel executions per region Burst scaling handles sudden traffic spikes Execution Lifecycle Cold start new environment initialization Warm start reused execution environment Timeout max execution duration (up to [--] min) Permissions &"
X Link 2026-01-07T04:35Z [----] followers, [----] engagements

"AWS Storage: What to Use and When Choose the right storage in seconds πŸ‘‡ Object Storage S3 Files backups logs Unlimited scale Regional private by default (public optional) Archive Storage S3 Glacier (Instant / Flexible / Deep Archive) Long-term backups Lowest cost Slow retrieval Block Storage EBS EC2 OS & databases AZ-bound High performance Multi-attach (same AZ io1/io2 only) File Storage EFS / FSx Shared file system Multiple EC2s Linux (EFS) Windows/Lustre (FSx) Temporary Storage Instance Store Ultra-fast Data lost on stop/terminate Hybrid & Migration DataSync / Snowball On-prem AWS"
X Link 2026-01-08T03:20Z [----] followers, [----] engagements

"What REALLY happens when you run kubectl apply Most people see: pod/nginx created Kubernetes actually does this APPLY API Server Admission Control etcd Scheduler Kubelet Container Runtime Pod Running βœ… If you can visualize this you truly understand Kubernetes. πŸ” Repost to help others https://twitter.com/i/web/status/2009119873964892248 https://twitter.com/i/web/status/2009119873964892248"
X Link 2026-01-08T04:28Z [----] followers, [----] engagements

"Still Confused Monitoring in AWS Save this πŸ‘‡ Know About CloudWatch AWS's native monitoring & observability service Tracks Metrics Collects Logs Triggers Alarms Think: Eyes + Ears + Alerts for AWS πŸ“Š Metrics (Default = FREE) Out of the box metrics for AWS resources: CPU Network Disk (EBS metrics by default) Status checks Basic: every [--] mins (free) Detailed: every [--] min (paid) πŸ“ Logs Central place for logs from: EC2 Applications System logs Use it to debug audit and analyze issues faster 🚨 Alarms Watch metrics & act automatically Example: CPU 90% Trigger SNS Send email / SMS / auto action"
X Link 2026-01-09T05:41Z [----] followers, [----] engagements

"Kubernetes Scaling doesn't mean only adding Pods. You can scale: Pods (HPA) Pod size (VPA) Nodes (Cluster Autoscaler) Right Scale at the right layer"
X Link 2026-01-09T16:49Z [----] followers, [----] engagements

"Kubernetes OOMKilled = The Most Misunderstood Error Your Pod Didnt Crash. Linux Killed It. Your application didnt throw an exception The Linux kernel terminated it Here's what OOMKilled actually means Root cause The container exceeded resources.limits.memory The cgroup hard memory limit was breached The Linux OOM Killer killed the process Kubernetes only observed and reported the event What typically happens Pod starts and runs normally Pod starts and runs normallying A memory allocation fails or memory pressure occurs Linux OOM Killer kills the container process Kubernetes reports it as"
X Link 2026-01-10T05:58Z [----] followers, 18.3K engagements

"Kubernetes Networking Looks Complex πŸ‘‡ But the flow is simple: Pod Service Ingress Internal Stable External Pod runs your app (IP can change) Service gives a stable virtual IP & load balances Ingress exposes apps to the outside world Once this clicks everything else makes sense. How does a request enter the cluster πŸ‘‡ User Ingress Service Pod Kubernetes OOMKilled = The Most Misunderstood Error Your Pod Didnt Crash. Linux Killed It. Your application didnt throw an exception The Linux kernel terminated it Here's what OOMKilled actually means Root cause The container exceeded"
X Link 2026-01-10T10:45Z [----] followers, 16.5K engagements

"Kubernetes Deployments Look Complex. But Kubernetes follows a clear hierarchy : Deployment ReplicaSet Pods Declare Maintain Run Deployment defines the desired state ReplicaSet enforces the pod count Pods run your application Pods are disposable - avoid managing them directly Scaling happens at the Deployment level Rollouts create new ReplicaSets not new Pods You dont manage pods. You declare intent - Kubernetes does the rest. Once this clicks rolling updates self-healing and scaling finally make sense. Kubernetes Storage Looks Confusing But the idea is simple: Pod Volume PersistentVolume"
X Link 2026-01-11T08:00Z [----] followers, [----] engagements

"@e_opore Good List to follow πŸ‘"
X Link 2026-01-11T18:18Z [----] followers, [---] engagements

"I didn't Appreciate Kubernetes the First Time I used it. It felt heavy. Too many moving parts. Too much abstraction. Complex Topics Then one day a Node went down. I didn't restart anything. I didn't touch a pod. A few minutes later A Magic Happened and everything was back. That's when I stopped questioning why Kubernetes exists and started understanding what it's actually solving. It's hierarchy is crucial and everything has purpose to understand It's not about containers. It's about systems that assume failure by default. Of course debugging a stuck pod will still test your patience πŸ˜„ But"
X Link 2026-01-11T18:52Z [----] followers, [----] engagements

"@techificial Well Said πŸ‘ understanding the core purpose of k8s Actually why it exists gives more confidence on deployments"
X Link 2026-01-12T08:14Z [----] followers, [--] engagements

"AWS API Gateway-A Backend API Savior πŸ‘‡ - One service. - One entry point. - No confusion. -------------------------------- πŸ‘€ Client Browser Mobile App Service -------------------------------- 🌐 API Gateway (Single Entry Point) Routing - Path + HTTP method matching Authorization - IAM Cognito Lambda Authorizer Throttling - Rate limits Burst control Validation - Headers Params Payload checks -------------------------------- πŸ”Œ Backend Integrations Lambda Direct invocation (serverless) ALB EC2 - ALB receives traffic - Forwards to EC2 / containers S3 / DynamoDB Direct AWS service integrations"
X Link 2026-01-13T07:14Z [----] followers, [----] engagements

"Intresting 😎: Cowork by Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code"
X Link 2026-01-13T07:29Z [----] followers, [---] engagements

"Don't Start Kubernetes Before These πŸ”₯ Before Kubernetes Linux basics Before Kubernetes Networking Basics Before Kubernetes Containers (Docker) Before Kubernetes YAML & Configs Before Kubernetes Git basics Before Kubernetes Security Basics Before Kubernetes Cloud Concepts πŸ‘‰ When these click Kubernetes makes sense. Skip them and you'll keep asking: "Why is this breaking " Kubernetes isn't the problem. The foundation is. Which one did you learn late and regret πŸ‘‡ https://twitter.com/i/web/status/2011058573149909152 https://twitter.com/i/web/status/2011058573149909152"
X Link 2026-01-13T12:51Z [----] followers, 20.1K engagements

"Kubernetes Services - No More Confusion Pods are ephemeral. Their IPs change. So exposing them directly is a bad idea. Thats where Services come in. ClusterIP Internal access only Default service type Reachable only inside the cluster Used for internal communication Use ClusterIP for: Backend services Internal APIs NodePort Access via Node Exposes a port on every node Accessible using NodeIP:Port Mostly used for testing or debugging Good for: Quick demos Temporary access LoadBalancer External access Creates an external IP Routes traffic from outside the cluster Cloud-provider managed Used"
X Link 2026-01-14T03:55Z [----] followers, [----] engagements

"πŸš€ IAM The Most Misunderstood Concept If something breaks in AWS IAM is usually the reason. - Not compute. - Not networking. - Permissions. -------------------------------- 🧠 What IAM Really Is IAM is AWSs permission engine. Every request in AWS is evaluated by IAM. -------------------------------- πŸ‘€ Core IAM Building Blocks User - Represents a human - Long-term credentials Role - Temporary access - Used by AWS services - No permanent credentials Policy - JSON document - Defines permissions - Attached to users roles or resources -------------------------------- πŸ“œ Policy Basics A policy"
X Link 2026-01-14T04:21Z [----] followers, [----] engagements

"Container vs Pod - The Brutal TruthπŸ”₯ A container is NOT what Kubernetes runs. Kubernetes runs Pods. That confusion causes a lot of pain. Container - Docker World Just a process Lives and dies on its own Has no identity in Kubernetes Kubernetes does not manage containers directly A container is an implementation detail. Pod - Kubernetes World Smallest deployable unit in Kubernetes Wraps one or more containers Has its own IP Shares networking and storage This is what Kubernetes schedules restarts and scales A Pod is the execution unit. How to Think About It Docker runs containers Kubernetes"
X Link 2026-01-15T04:11Z [----] followers, 15.3K engagements

"This ties perfectly into why Pods feel so different once you get it Kubernetes ignores manual effort and demands clear intent. Deeper dive here: https://x.com/asynctrix/status/2011849972644540693 Kubernetes doesn't reward effort. It rewards clarity. You can work hard: tune containers by hand keep things running for weeks memorize commands Kubernetes doesn't care. It only asks one question: πŸ‘‰ Does the current state match the desired state If not it will: https://x.com/asynctrix/status/2011849972644540693 Kubernetes doesn't reward effort. It rewards clarity. You can work hard: tune containers"
X Link 2026-01-15T17:28Z [----] followers, [---] engagements

"CrashLoopBackOff isn't the Problem. It's the message. Kubernetes is telling you something very specific: Your Pod started Your app crashed Kubernetes restarted it The same thing happened again So Kubernetes slowed down and said: 'Stop. Fix this first.' CrashLoopBackOff does NOT mean: Kubernetes is broken Restart logic is wrong You need more resources (most of the time) It usually means: App exits immediately Missing config or secret App cant reach a dependency Wrong startup command App isnt designed to restart cleanly πŸ‘‰ Kubernetes is doing its job. πŸ‘‰ Its protecting the cluster from a broken"
X Link 2026-01-16T03:44Z [----] followers, [----] engagements

"πŸš€ALB vs NLB-Smart Routing vs Raw Speed Both are AWS Load Balancers. Both distribute traffic. But they solve different problems. -------------------------------- 🧠 Core Difference ALB operates at Layer [--] (Application) NLB operates at Layer [--] (Transport) -------------------------------- πŸ”Ή Application Load Balancer (ALB) Best for HTTP and HTTPS traffic. Understands: - URLs - Headers - HTTP methods Supports: - Path-based routing (/api /login) - Host-based routing (ALB vs NLB Smart Routing vs Raw Speed) - Authentication (OIDC Cognito) - WebSockets Common use cases: - Web applications -"
X Link 2026-01-16T14:01Z [----] followers, [----] engagements

"@ConsciousRide True πŸ™Œ. For me it was Assume Role when AWS changed its policy wasted sometime on it πŸ˜€"
X Link 2026-01-17T04:10Z [----] followers, [--] engagements

"How Private Subnets Access the Internet Private does NOT mean no internet. It means no inbound exposure. -------------------------------- πŸ“ Private Subnet EC2 instance - No public IP - Not reachable from the internet Route table 0.0.0.0/0 NAT Gateway -------------------------------- πŸ” NAT Gateway - Deployed in a Public Subnet - Has an Elastic IP - Acts as the exit point Route table (Public Subnet) 0.0.0.0/0 Internet Gateway -------------------------------- 🌐 Internet - OS updates - Package downloads - External API calls -------------------------------- πŸ” Security Model (Important)"
X Link 2026-01-17T06:09Z [----] followers, [----] engagements

"@fajlur_ Understanding this gives more info on how kubernetes works"
X Link 2026-01-17T08:29Z [----] followers, [--] engagements

"This is why even Skilled DevOps Engineers struggle in production. You might master: AWS Kubernetes Networking Automation CI/CD tools IaC frameworks But if you cant: Stay calm during outages Debug under heavy time pressure Explain impact to non-tech teams Say "I dont know" early Adapt when things go sideways Take ownership of failures Collaborate across teams Learn from incidents not hide them Your tools wont save you. Production doesnt care about: Certifications Blog posts Perfect Architectures on paper DevOps isnt just tools. Its how you show up when systems are on fire. Which of these hits"
X Link 2026-01-17T10:42Z [----] followers, [----] engagements

"@Umesh__digital Thank Umesh Software Skills Plays Major role for a DevOps Engineer to handle multiple application deployments and Outages"
X Link 2026-01-17T17:27Z [----] followers, [--] engagements

"@gael_elan101 Thank You Gael Data over Network if not handled well then it will be in Peak"
X Link 2026-01-17T18:27Z [----] followers, [--] engagements

"Now this "typing." Became reasoning for Agentic AI Chatbots with Same streaming Concept As a Developer have you asked yourself how "Typing" shows up instantly in WhatsApp Is the app refreshing every second Or is there something else happening behind the scenes https://t.co/MOd4l7C4xN As a Developer have you asked yourself how "Typing" shows up instantly in WhatsApp Is the app refreshing every second Or is there something else happening behind the scenes https://t.co/MOd4l7C4xN"
X Link 2026-01-18T02:58Z [----] followers, [---] engagements

"@WilliamBenzDev Haha Crazy then it becomes Chatting with Ads not Agents πŸ˜…"
X Link 2026-01-18T03:03Z [----] followers, [--] engagements

"@devops_nk Amazing brother πŸ‘ CongratsπŸŽ‰ for 2k"
X Link 2026-01-18T07:23Z [----] followers, [--] engagements

"If not me who will fix it. As a DevOps Engineer did you ever feel this moment Not because you know everything. But because someone has to take ownership. That's the job: systems are on fire alerts don't wait blame doesn't help You step in. You investigate. You fix. You document. You move on. Not heroic. Just responsible. That mindset matters more than any tool. Have you had a moment like this in your DevOps journey πŸ‘‡ https://twitter.com/i/web/status/2012876985916363166 https://twitter.com/i/web/status/2012876985916363166"
X Link 2026-01-18T13:17Z [----] followers, [---] engagements

"@_jaydeepkarale Thank You for the Share I will watch it πŸ‘ I used UV little but want to learn more since its little like npm kind for Python"
X Link 2026-01-18T14:29Z [----] followers, [--] engagements

"@devops_nk @Infosys Congratulations πŸŽ‰"
X Link 2026-01-19T12:08Z [----] followers, [--] engagements

"AWS 3-Tier Architecture - Must Know Access Tier (Entry Point) Application Tier Data Tier Detailed Info πŸ‘‡ https://x.com/asynctrix/status/2013482903968301485s=20 πŸ— AWS 3-Tier Architecture - Simplified 🌐 Access Tier (Entry Point) - Internet-facing Application Load Balancer (ALB) - Single entry point for users - Distributes traffic across Availability Zones - No application or business logic - Handles only traffic routing https://t.co/dM5wTUsozn https://x.com/asynctrix/status/2013482903968301485s=20 πŸ— AWS 3-Tier Architecture - Simplified 🌐 Access Tier (Entry Point) - Internet-facing"
X Link 2026-01-20T05:39Z [----] followers, [---] engagements

"🚨 Resource Requests vs Limits Why Kubernetes Didn't Kill Your Pod Kubernetes trusted you. And you lied. Your pod didnt restart randomly. It didnt "just crash" 🧠 Resource Requests What you promise the scheduler Used to place pods on nodes Kubernetes assumes you told the truth Requests decide: Where your pod runs How crowded a node becomes 🧱 Resource Limits Hard enforcement boundary What your pod is allowed to use Cross it and Kubernetes steps in Memory limit exceeded OOMKilled Container restarted No warning ⚠ Where teams go wrong Requests too low Limits too tight Actual usage ignored Nodes"
X Link 2026-01-20T13:48Z [----] followers, [----] engagements

"Kubernetes doesn't randomly kill Pods. It schedules based on what you promise. It enforces based on what you limit. If requests are wrong nodes get overpacked. If limits are tight containers get OOMKilled. Failures arent surprises. Theyre contracts being enforced. Detailed Info πŸ‘‡ 🚨 Resource Requests vs Limits Why Kubernetes Didn't Kill Your Pod Kubernetes trusted you. And you lied. Your pod didnt restart randomly. It didnt "just crash" 🧠 Resource Requests What you promise the scheduler Used to place pods on nodes Kubernetes assumes you https://t.co/IaiaUDuTAE 🚨 Resource Requests vs Limits"
X Link 2026-01-20T18:04Z [----] followers, [---] engagements

"Kubernetes Core - Simplified Cluster basics API Server the front door etcd cluster state & truth Scheduler Pod placement logic Controller Manager desired vs actual state kubelet node-level execution kube-proxy Service networking Pods smallest deployable unit ReplicaSets Pod guarantees Deployments safe change & rollout Services stable access Ingress external traffic entry ConfigMaps configuration Secrets sensitive data Requests limits QoS Health checks (liveness / readiness) RBAC access control Events logs metrics Helm repeatable installs GitOps controlled deployments Troubleshooting reality"
X Link 2026-01-21T03:53Z [----] followers, 12.4K engagements

"Do you think Fear is the new promotion "Software Engineering Will Be Automatable in [--] Months" Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most maybe all' of what software engineers do end-to-end within [--] to [--] months shifting engineers to editors. https://t.co/7bI7JmTtsb "Software Engineering Will Be Automatable in [--] Months" Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most maybe all' of what software engineers do end-to-end within [--] to [--] months shifting engineers to editors. https://t.co/7bI7JmTtsb"
X Link 2026-01-21T05:25Z [----] followers, [---] engagements

"@Venkydotdev Fear Creates the Market"
X Link 2026-01-21T05:54Z [----] followers, [--] engagements

"Kubernetes Node - Simplified A node is where containers actually run. This is execution territory. kubelet node brain Talks to API Server Creates starts restarts Pods Reports node & pod status Container Runtime (containerd / CRI-O) container engine Pulls images Runs containers Enforces resource limits kube-proxy service traffic rules Programs iptables / IPVS Routes Service traffic to Pods Enables stable networking CNI Plugin (Calico / Cilium / Flannel) pod networking Assigns Pod IPs Handles Pod-to-Pod traffic Enforces network policies CSI Driver storage attachment Mounts volumes to Pods"
X Link 2026-01-21T07:53Z [----] followers, [----] engagements

"AWS VPC Peering - Must Know What it is Private network connection between two VPCs Uses private IP addresses Works within same account or across accounts Works across Regions How it works No gateway No VPN No extra hardware Uses AWS backbone network What it enables EC2 to EC2 communication Cross-account access Cross-region private traffic Resource sharing between VPCs What it is NOT Not transitive No overlapping CIDR blocks No central routing point Key benefits Low latency No single point of failure Encrypted traffic (inter-region) Never goes over public internet 🎯 Use VPC Peering when You"
X Link 2026-01-21T11:03Z [----] followers, [---] engagements

"@Umesh__digital Thank You Umesh πŸ™Œ True understanding basic fundamentals helps to deep dive for especially for new learners"
X Link 2026-01-21T13:20Z [----] followers, [--] engagements

"@_jaydeepkarale You are Right πŸ‘ Tools can be out dated but not the concept Great Thought πŸ‘"
X Link 2026-01-21T16:36Z [----] followers, [--] engagements

"🚨 RollingUpdate vs Recreate Downtime is a choice. Both update your application. They behave very differently. 🟒 RollingUpdate Old and new Pods run together Traffic shifts gradually Zero or near-zero downtime Requires readiness to be correct πŸ”΄ Recreate Old Pods are killed first New Pods start later Guaranteed downtime Simple but risky 🧠 The mental model RollingUpdate = replace while serving Recreate = stop then start Kubernetes wont save you from downtime. It only follows the strategy you choose. Downtime isnt random. Its configured. Which one caused you pain in production"
X Link 2026-01-22T06:42Z [----] followers, [----] engagements

"Lost Production because of thisπŸ‘‡ No Git Nobody knows what changed. No Terraform ClickOps drift and fear. No CI Broken releases sneak in. No CD Deployments become rituals. No monitoring Outages go silent. No secrets management Incidents turn into headlines. Which one hurt you the most πŸ‘‡ https://twitter.com/i/web/status/2014313831078781368 https://twitter.com/i/web/status/2014313831078781368"
X Link 2026-01-22T12:26Z [----] followers, [---] engagements

"@devops_nk A silent talent killerThere is a chance of Loosing Critical thinking in coming years"
X Link 2026-01-22T12:30Z [----] followers, [--] engagements

"🚨 Why kubectl delete pod Works Deleting a pod feels dangerous. Like you're breaking production. But Kubernetes doesn't think in pods. It thinks in desired state. When you delete a pod: You remove an instance Not the application The controller notices: Desired replicas actual replicas A new pod is created automatically Nothing is repaired. Everything is replaced. 🧠 The Best Part Pods are disposable. Deployments are permanent. If deleting a pod scares you you dont trust your desired state yet. Have you ever hesitated before deleting a pod in prod"
X Link 2026-01-22T18:28Z [----] followers, [----] engagements

"Kubernetes Scheduling - Simplified Pod creation Requests declared Scheduler evaluates nodes CPU & memory availability Taints & tolerations Node selectors / affinity Pod placed on node kubelet executes Pod Limits enforced Pressure builds Evictions happen 🎯 Scheduling is math not magic. Feel Free to Add if Missed Anything https://twitter.com/i/web/status/2014679706629767219 https://twitter.com/i/web/status/2014679706629767219"
X Link 2026-01-23T12:40Z [----] followers, [----] engagements

"80% of Prod outages trace back to these [--] Kubernetes mistakes πŸ‘‡ No liveness/readiness probes Pods restart forever traffic hits dead containers No resource requests/limits One pod eats CPU eviction chaos everywhere No PodDisruptionBudgets Rolling updates wipe out everything at once Secrets in env vars (not mounted) Logs leak creds security audits explode No pod anti-affinity All replicas land on one node single failure = full outage Which one cost you (or your team) real sleep πŸ”₯ #Kubernetes #DevOps #SRE"
X Link 2026-01-23T16:58Z [----] followers, [----] engagements

"What Actually Happens When Kubernetes Runs Your Application Pod πŸ‘‡"
X Link 2026-01-23T19:41Z [----] followers, [---] engagements

"AWS IAM Roles vs Policies - Must Know What Policies are: JSON documents that define permissions Specify what actions are allowed or denied Attached to users groups or roles Managed or inline (inline = embedded in the principal) What Roles are: IAM identities that have policies attached No permanent credentials (no access key / secret) Assumable by users AWS services or external identities Provide temporary credentials via STS How they work together Policy defines permissions Role container for policies + trust policy Trust policy who can assume the role (EC2 Lambda another account IdP)"
X Link 2026-01-24T06:38Z [----] followers, [--] engagements

"Stop Leaking Secrets in [----] ❌ Common Prod killers: Hard-coded creds in code/Docker .env committed to Git Keys never rotated Plain ConfigMaps ENV in K8s manifests No audit / rotation Fixes that work: Vault / AWS SM / GCP KV / Azure External Secrets Operator Runtime injection only Short-lived IAM roles / OIDC Auto-rotate + zero-downtime Scan with trivy/gitleaks Least-privilege RBAC One leak = nightmare. One good setup = peace. Biggest secret sin you've fixed πŸ‘‡ #DevOps #Kubernetes https://twitter.com/i/web/status/2015113187478339613 https://twitter.com/i/web/status/2015113187478339613"
X Link 2026-01-24T17:23Z [----] followers, [----] engagements

"Thanks Jaydeep Exactly. Docker ARGs are sneaky because they bake into layers forever. Multi-stage builds + not passing sensitive stuff as ARGs fixed it for me. Was using Wiz scans. How did you handle Have you came across any Frontend (like react) to handle the secrets in build πŸ‘ https://twitter.com/i/web/status/2015262848822485417 https://twitter.com/i/web/status/2015262848822485417"
X Link 2026-01-25T03:17Z [----] followers, [--] engagements

"Most CI fights start with the classic: "Oh it works on my machine. but fails in the pipeline" πŸ˜‚ @devops_nk nailed the troubleshooting basics πŸ‘ Solid steps Quick local culprits I see often: Different OS/package versions (macOS vs. Linux quirks) Cached deps or tools not cleared (npm/yarn lock mismatches) Firewall/network blocks on external deps in CI Great thread πŸš€ 🚨 Decoding DevOps Interview Questions Part 1: Build Passed Locally but Fails in CI How Will You Troubleshoot πŸ‘‡ Ans: I will connect with the developer over a call and troubleshoot it together. Here are the few things I will"
X Link 2026-01-25T05:19Z [----] followers, [---] engagements

"we do completely opposite to make others rich πŸ˜­πŸ˜‚ Buying at selling time Selling at buying time Emotional Trap. I think I'm cooked chat 😭 https://t.co/co2nAJYmyH I think I'm cooked chat 😭 https://t.co/co2nAJYmyH"
X Link 2026-01-25T06:19Z [----] followers, [---] engagements

"K8s Requests & Limits - In Plain English Requests decide: Where your Pod is scheduled Whether it fits on a node How the scheduler sees capacity Limits decide: How much your app is allowed to use When the kernel kills it Whether you get OOMKilled Common mistakes πŸ‘‡ No requests random scheduling Very low limits CrashLoopBackOff Requests = Limits zero burst room What Kubernetes assumes: You told the truth about your app What actually happens: Apps spike Limits get hit Pods die People blame Kubernetes 🎯 Scheduler trusts requests. 🎯 The kernel enforces limits. If your Pods keep dying check your"
X Link 2026-01-26T06:09Z [----] followers, [----] engagements

"Announcement πŸ“’ I'm starting a "Kubernetes Pro Tips" series. One real-world tip a day Things that break in production Standards used by real teams No fluff. No theory dumps. If this helps you repost so it reaches others too πŸ‘‡"
X Link 2026-02-08T12:56Z [----] followers, 12.8K engagements

"Projects That Make You a Real Kubernetes Engineer Build a multi-node Kubernetes cluster Build namespace isolation for teams Build proper CPU & memory limits Build readiness & liveness probes Build ConfigMaps vs Secrets correctly Build secret rotation without downtime Build strict RBAC (no cluster-admin) Build NetworkPolicies that block traffic Build Ingress with TLS & cert rotation Build HPA using real metrics Build zero-downtime rolling deploys Build blue-green or canary releases Build crash-loop debugging workflows Build centralized logging Build actionable alerts (not noise) Build node"
X Link 2026-02-12T17:34Z [----] followers, [----] engagements

"K8's Pro Tips 1-5πŸ‘‡ https://x.com/asynctrix/status/2022510801647735009s=20 Kubernetes Pro Tip #5πŸš€ Use PodDisruptionBudgets(PDB). During: Node drains Cluster upgrades Autoscaling events Pods get evicted. Without a PDB: Too many replicas go down Traffic drops Downtime happens Pro tip πŸ’‘ Set a minimum available count. High https://x.com/asynctrix/status/2022510801647735009s=20 Kubernetes Pro Tip #5πŸš€ Use PodDisruptionBudgets(PDB). During: Node drains Cluster upgrades Autoscaling events Pods get evicted. Without a PDB: Too many replicas go down Traffic drops Downtime happens Pro tip πŸ’‘ Set a"
X Link 2026-02-14T05:44Z [----] followers, [---] engagements

"Anthropic surges to 32% enterprise LLM API share (vs OpenAI's 25%) per Menlo Ventures' mid-2025 report. Spend doubled to $8.4B trust in compliance & code-gen wins the day. #AI #LLM""
X Link 2025-11-02T13:36Z [----] followers, [---] engagements

"πŸš€ AWS Update: Amazon SageMaker Catalog now provides automatic data classification powered by AI agents - making data governance faster smarter and hands-free. Cloud just got a little more intelligent. ⚑ #AWS"
X Link 2025-12-01T04:50Z [----] followers, [---] engagements

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creator/twitter::asynctrix
/creator/twitter::asynctrix