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@Kaperskyguru Solomon Eseme

Solomon Eseme posts on X about realtime, events, slack, developers the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXXXXX engagements in the last XX hours.

Engagements: XXXXXX #

X Week XXXXXX +414%
X Month XXXXXXX -XX%
X Months XXXXXXX +92%
X Year XXXXXXXXX +70%

Mentions: XX #

X Week XX no change
X Month XXX -XXXX%
X Months XXX +253%
X Year XXX +72%

Followers: XXXXXX #

X Week XXXXXX +0.15%
X Month XXXXXX +1.90%
X Months XXXXXX +11%
X Year XXXXXX +20%

CreatorRank: XXXXXXX #

Social Influence #

Social category influence technology brands XXXX% social networks XXXX% stocks XXXX%

Social topic influence realtime #60, events #3163, slack 1.69%, developers 0.85%, let me 0.85%, ai tools 0.85%, $newr 0.85%, sql 0.85%, whatsapp 0.85%, replicate XXXX%

Top accounts mentioned or mentioned by @masterbackend @patoasim @master_backend @254zavi @cryptomo666 @grok @ohematechie @loige @readys3tcode @fortunate_dev @aitnacer_nabil @canhamzacode @greta__ai @saameeey @ayshriv @sectheops @gold_dasilva @its_datboi @_edugreat @lazyodell

Top assets mentioned New Relic, Inc. (NEWR)

Top Social Posts #

Top posts by engagements in the last XX hours

"I'm officially launching a new directory. It's a Developer-Focused Tools directory. You can discover compare and integrate the best AI tools built specifically for developers. Let me know how this will be helpful to you. Currently at: Report bugs"
X Link @Kaperskyguru 2025-10-13T10:09Z 35.6K followers, 1678 engagements

"Requirements first: - Collect logs from thousands of services. - Centralize and index them for querying. - Handle millions of log events per second. - Provide search filtering and alerting"
X Link @Kaperskyguru 2025-09-27T08:01Z 35.6K followers, 2352 engagements

"Before worrying about Kafka or Redis ask: - What data flows through the system - What are the critical paths - What happens if this part fails This thinking scales better than any framework"
X Link @Kaperskyguru 2025-10-14T09:58Z 35.6K followers, XX engagements

"If you like Tweets like this you will absolutely enjoy my exclusive weekly newsletter Sharing exclusive backend engineering resources to help you become a great Backend Engineer. Join 11000+ subscribers here:"
X Link @Kaperskyguru 2025-10-16T07:43Z 35.6K followers, XXX engagements

"High-level pipeline: - Log agents run on each host/service. - Collector/forwarder batches and ships logs. - Stream processing (Kafka Fluentd). - Storage/Indexing (Elasticsearch ClickHouse S3). - Query UI (Kibana Grafana)"
X Link @Kaperskyguru 2025-09-27T08:01Z 35.6K followers, 2352 engagements

"The real goal of system design Its not to impress with fancy terms like CQRS or Event Sourcing. Its to build reliable scalable systems that solve business problems. Every decision should connect back to a user or business need"
X Link @Kaperskyguru 2025-10-14T09:58Z 35.6K followers, XX engagements

"Most backend engineers focus on either projects or DSA. But the ones who get hired fast They master both and know how to connect them. 🧵"
X Link @Kaperskyguru 2025-10-14T14:00Z 35.6K followers, 2799 engagements

"API Performance is crucial when talking about APIs and API design You will learn: - What is API Performance - Use Caching - Pagination - Avoid N+1 Queries - Compression - Connection Pooling - Serialization - Use Asynchronous Logging"
X Link @Kaperskyguru 2025-10-16T06:25Z 35.6K followers, XXX engagements

"Thats why profiling matters more than guessing. Use tools like: - EXPLAIN ANALYZE for SQL queries - APMs like New Relic or Datadog - Built-in profilers (Nodes inspect Pythons cProfile Gos pprof) Dont optimize blindly. Measure then tune"
X Link @Kaperskyguru 2025-10-14T16:02Z 35.6K followers, XXX engagements

"Requirements: - Handle millions of queries per second. - Fast response ( 200ms). - Support ranking filtering autocomplete - Index constantly changing data"
X Link @Kaperskyguru 2025-09-29T16:00Z 35.6K followers, 2648 engagements

"Interview closing: Id design a distributed logging pipeline with agents collecting logs Kafka for ingestion Elasticsearch for indexing & Kibana for queries. To scale Id shard partitions tier storage & enforce retention. Reliability comes from replication retries & DLQs"
X Link @Kaperskyguru 2025-09-27T08:01Z 35.6K followers, 1571 engagements

"For example: If your API feels slow most engineers jump straight into optimizing code. But often the culprit isnt code its I/O. A single SELECT * or missing index can waste more time than XXX lines of inefficient logic"
X Link @Kaperskyguru 2025-10-14T16:02Z 35.6K followers, XX engagements

"Youre in a backend interview. They ask: How would you design a real-time chat system like Slack or WhatsApp Heres how to approach it:"
X Link @Kaperskyguru 2025-10-14T08:03Z 35.6K followers, 68.3K engagements

"Data storage: - Primary store: NoSQL (Cassandra DynamoDB) for fast writes. - Search index: ElasticSearch for message queries. - Cache: Redis for active conversations and user sessions"
X Link @Kaperskyguru 2025-10-14T08:03Z 35.6K followers, 4361 engagements

"Scaling strategy: - Partition users by chat room or region. - Use consistent hashing for message routing. - Replicate WebSocket gateways across regions. - Store connection states in Redis or an in-memory grid"
X Link @Kaperskyguru 2025-10-14T08:03Z 35.6K followers, 3769 engagements

"Message flow: - User sends a message through WebSocket. - Chat service validates and publishes to a queue (e.g. Kafka). - Consumers persist messages in DB and push to recipients. - Notifications trigger for offline users"
X Link @Kaperskyguru 2025-10-14T08:03Z 35.6K followers, 4987 engagements

"Reliability & observability: - Replicated shards for HA. - Monitoring query latency error rates. - Fallback to cached/stale results if cluster is overloaded. - Alerting for indexing lag"
X Link @Kaperskyguru 2025-09-29T16:00Z 35.6K followers, 1630 engagements

"How to say it in the interview: Id design a real-time chat system with WebSockets for communication Kafka for decoupling Redis for session caching and a NoSQL DB for persistence all orchestrated for horizontal scalability and fault tolerance"
X Link @Kaperskyguru 2025-10-14T08:03Z 35.6K followers, 2700 engagements

"Additional features: - Typing indicators via lightweight WebSocket events. - Message edits/deletes handled with event versioning. - End-to-end encryption for privacy. - Push notifications for offline clients"
X Link @Kaperskyguru 2025-10-14T08:03Z 35.6K followers, 3014 engagements

"High-level pipeline: - Ingestion raw product data from DB. - Indexing build inverted index (Elasticsearch Solr). - Query service accepts user queries. - Ranking engine sorts results. - Response return top N items"
X Link @Kaperskyguru 2025-09-29T16:00Z 35.6K followers, 2429 engagements

"Youre in a backend interview. They ask: How would you design a chat backend that supports real-time messaging presence and scalability (like Slack) Heres a practical approach"
X Link @Kaperskyguru 2025-10-06T11:57Z 35.6K followers, 2017 engagements