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@goyalshaliniuk Avatar @goyalshaliniuk Shalini Goyal

Shalini Goyal posts on X about ai, if you, core, scaling the most. They currently have XXXXX followers and XXX posts still getting attention that total XXXXXX engagements in the last XX hours.

Engagements: XXXXXX #

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Mentions: XX #

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Social Influence

Social category influence social networks stocks technology brands

Social topic influence ai, if you, core, scaling #69, stack, artificial intelligence #1101, categories #245, business, scales #67, reduce

Top accounts mentioned or mentioned by @indigo6e @sanebox @ideogramai @techyoutbe @turkishairlines @bookingcom @goyaalshaliniuk @ahujapriyank @codewithimanshu @higgsfieldai @rauljuncov @technmak @gs885693scalinglargelanguagemodelshowllmslikechatgpthandlemillionsofrequestsea1e3ded4903 @sohailsaifihowtiktoksalgorithmdecideswhatyouseereverseengineered19bf47e66bf4 @poojatripathi0697howubertracksdriversinrealtimeasystemdesigndeepdiveff22d98373e3 @lazygeek78systemdesignseriescfa60db16c27 @atulprogrammerhownetflixstreamsto220muserswithoutbreakingb1256e0200c4 @ironredsandhive @pshomebrew

Top assets mentioned Uber Technologies, Inc. (UBER) Alphabet Inc Class A (GOOGL)

Top Social Posts

Top posts by engagements in the last XX hours

"System Design feels like a maze. So many terms. So many components. What if you had a clear map No fluff Just the XX core concepts you actually need to master - this one-page guide breaks it all down: From the fundamentals to real-world systems in a path that actually makes sense. 👇 13: Scaling the Foundation Start by learning how to scale databases and use caching to reduce load and speed up access. Understand load balancers for distributing traffic efficiently and keeping systems responsive under load. 46: Architecting Your System Dive into microservices to decouple applications then build"
X Link 2025-12-09T06:30Z 5586 followers, 15.6K engagements

"If you want to master System Design nothing accelerates your learning faster than studying how real-world products operate at massive scale. Heres a guide that brings together XX practical high-impact case studies from companies that handle billions of users messages payments queries and media assets every single day. Each case study shows how real engineering teams solve problems like latency consistency sharding caching replication load balancing and global distribution - in production. Here are all XX examples with direct sources so you can explore each one in depth: X. How Google Search"
X Link 2025-12-11T06:30Z 5586 followers, 31.8K engagements

"Ever wondered what actually powers the apps we use every single day - from Instagram to Netflix to Uber Most of the magic happens behind the scenes. And that magic is system design - the hidden infrastructure that keeps modern applications fast reliable and scalable. To make this easier to understand I broke down the New System Design Stack into the core components every engineer architect or aspiring developer should know. Heres what this breakdown covers: - Databases Where all structured and unstructured data lives - from PostgreSQL and MySQL to MongoDB and Cassandra. - Caching Redis"
X Link 2025-12-05T06:30Z 5441 followers, 7724 engagements

"How to Build Your First AI Agent - Step-by-Step Creating an AI agent might sound complex but by breaking it down into structured steps you can go from idea to a fully functional agent that solves real problems. Whether youre building for customer service research or automation following these stages ensures your agent is accurate useful and adaptable. X. Define the Agents Purpose Start with clarity. Identify the problem your agent will solve who will use it and what kind of inputs and outputs it should handle. This step sets the foundation for everything else. X. Select Input Sources Decide"
X Link 2025-12-07T12:30Z 5488 followers, 14.7K engagements

"Did you know behind every powerful AI model lies even more powerful hardware From training massive LLMs to running lightweight models on mobile devices specialized processors make AI possible at every scale. Here are some of the essential hardware components that power Artificial Intelligence 👇 X. GPU (Graphics Processing Unit): Parallel processors that accelerate training and inference of AI models. X. TPU (Tensor Processing Unit): Google-designed chips optimized for deep learning and tensor computations. X. CPU (Central Processing Unit): General-purpose processors for orchestration"
X Link 2025-12-03T12:30Z 5509 followers, 2579 engagements

"Understanding Single vs Multi-Agent Architectures Artificial Intelligence agents are like digital workers each with their own way of perceiving the world making decisions and taking action. The way these agents are structured determines not only how they process information but also how they interact with their environment and with each other. Some agents are solo performers handling tasks independently with a focused streamlined approach. Others thrive in collaborative networks where multiple agents share data coordinate strategies and work together toward a common goal. Heres a snapshot of"
X Link 2025-12-08T12:30Z 5523 followers, 3924 engagements

"Most people learn data engineering the hard way by drowning in jargon theyve never heard before. But heres the truth no one tells you: Data engineering isnt hard because of the tools its hard because of the terminology. Once you understand the words you finally understand the systems. And once you understand the systems everything else becomes XX easier. Heres a quick breakdown of what youre learning: X. ETL vs ELT Know the difference. ETL transforms before loading. ELT loads first transforms later. Both shape how your pipeline performs. X. Data Warehouse Data Lake. One is for structured"
X Link 2025-12-02T06:30Z 5581 followers, 9655 engagements

"The AI Agents Directory AI agents are transforming how we work create and automate from solopreneurs building tools in a weekend to enterprises orchestrating complex workflows. Heres a directory that organizes the AI Agent landscape into XX categories helping you discover exactly whats possible and where to start. X. No-Code Business Workflow Agents Automate tasks like lead capture email replies and reporting - no coding needed. X. Low-Code Internal Tool Agents Build custom tools like dashboards or approval flows with minimal code effort. X. API & Integration-Focused Agents Connect your tools"
X Link 2025-12-06T12:30Z 5585 followers, 12.8K engagements

"Building a system that scales isnt just about picking the right database - its about mastering the full stack of scalability. This powerful visual breaks down the X critical layers of scalable system design from the UI to the infrastructure. Heres what each layer brings to the table: X. Client Layer Optimizes the user experience with fast rendering caching and responsive UI frameworks like React or Flutter. X. API Gateway Layer Manages traffic rate-limiting and load balancing serving as the central entry point with tools like Nginx or AWS API Gateway. X. Application Layer Hosts microservices"
X Link 2025-12-07T06:30Z 5586 followers, 9017 engagements

"Which AI Agent Framework Should You Choose With so many AI agent frameworks available today the right choice depends on your goals technical skills and use case. Heres a guide that breaks them into three main categories so you can quickly narrow down your options. X. General-Purpose Agent Frameworks Designed for versatility these frameworks let you build a wide variety of AI agents with tool and memory integration. LangChain Perfect for custom LLM applications like chatbots document Q&A autonomous agents or multi-tool workflows. AgentOps Focuses on tracking debugging and improving deployed"
X Link 2025-12-09T12:30Z 5581 followers, 4605 engagements

"Most engineers struggle with system design interviews not because they lack knowledge but because they lack structure. You dont need to memorize XXX different architectures. You need a clear repeatable framework to tackle any system design problem. After analyzing XX key system design concepts Ive put together this one-page cheat sheet to help you: X. Scale like a pro Auto-scaling horizontal scaling database sharding and CDN strategies. X. Manage data efficiently Data partitioning NoSQL SQL transactions and indexing best practices. X. Ensure reliability & fault tolerance Load balancing"
X Link 2025-12-10T12:30Z 5585 followers, 9266 engagements

"Imagine building a system that scales effortlessly never crashes and handles millions of users seamlessly. Sounds impossible Its not - its system design. Every high-performing system follows a set of essential principles that make it secure scalable and resilient. Lets explore them: X. Observability & Monitoring Like having a control room for your system with logging tracing and real-time monitoring using tools like Prometheus and OpenTelemetry. X. Security & Compliance Protecting data with encryption API authentication and zero-trust architecture to keep systems secure. X. Distributed"
X Link 2025-12-11T12:30Z 5584 followers, 4418 engagements

"Ever waited too long for a page to load a report to generate or a query to return results A slow database can bottleneck everything - from user experience to business operations. But heres the good news: Optimizing database performance isnt rocket science. 💡 X Strategies to Supercharge Your Database: ⚡ Horizontal Scaling Distribute workload across multiple servers. ⚡ Query Performance Tuning Optimize SQL queries for faster response times. ⚡ Vertical Scaling Upgrade CPU RAM or storage for more power. ⚡ Smart Indexing Speed up searches without affecting writes. ⚡ Data Caching Store frequently"
X Link 2025-12-12T06:30Z 5585 followers, 6827 engagements

"7 Essential System Design Algorithms You Must Know for Interviews System design interviews often test your knowledge of scalability efficiency and fault tolerance and these X key algorithms play a crucial role in designing robust distributed systems. X. Merkle Tree A hash-based structure that verifies data integrity and consistency in large datasets. X. Consistent Hashing Reduces rehashing when nodes join or leave a system ensuring stability. X. Read Repair Automatically fixes missing or inconsistent data in distributed databases. X. Gossip Protocol A decentralized communication model that"
X Link 2025-12-12T12:30Z 5586 followers, 7974 engagements

"Today companies rely on highly specialized data engineers - each focused on different parts of the data lifecycle from real-time streaming to observability ML features reliability and warehouse modeling. Heres a breakdown of the XX major Data Engineering roles youll find in modern teams along with what each of them actually does. Heres a quick overview of each type: X Data Reliability Engineer Ensures data systems stay reliable with SLOs observability lineage tracking automated recovery and failure detection. X Platform Data Engineer Builds enterprise data platforms manages infrastructure"
X Link 2025-12-13T06:30Z 5583 followers, 3654 engagements

"' --. "Why does YouTube never crash even when millions are watching videos at the same time" "How does Google find answers so fast" "Why does my online game not lag even when thousands are playing" If you've ever struggled to explain these to someone new in tech you're not alone. System Design can feel like a complex puzzle - until you break it down into simple relatable ideas. Thats exactly what this post does From Load Balancing (spreading work like distributing pizzas to multiple chefs 🍕) to Database Sharding (cutting a giant cake into smaller slices 🎂) these XX key concepts make"
X Link 2025-12-13T12:30Z 5586 followers, 9065 engagements