The mental model that changes how you think about load balancing: ​A Load Balancer is not a router. It is a traffic controller with rules, memory, and health awareness. ​Everything you need to know about LB algorithms and architecture 👇 #SRE #DevOps #SytemDesign

RAG explained A dense overview of RAG (Retrieval-Augmented Generation): what it is, why it matters, what Retrieval, Augmented, and Generation mean, the offline ingestion pipeline, the online query flow, embeddings, cosine similarity, HNSW, and chunking. tgmarinhopro.com/en/blog/rag… #AIEngineer #RAG #SytemDesign #IA #SWE

Database connections are expensive. Opening and closing them on every request? Even worse. I wrote a simple breakdown on how connection pooling actually works and why it matters Link: sagarshiroya.dev/posts/datab… #Database #SytemDesign

Split Brain Problem explained in 5 mins 🧵🧵🧵 #SytemDesign #SplitBrain

Do you know how companies scale their cache for millions of users? Today I learned how caching consistent hashing power large distributed systems. Key takeaways from the session: → Cache stores frequently accessed data in fast memory to avoid expensive DB queries. → Use Redis as a cache layer and apply read-through caching to fetch from DB only on cache miss. → Use TTL to avoid stale data and start with a “magic number” that can later be tuned using real usage data. → When cache storage is full, apply eviction strategies like LRU to remove less useful data. → To scale caching servers without huge data reshuffling, use consistent hashing, which keeps data movement minimal when servers are added or removed. System design lesson of the day: Good architecture is not about avoiding problems. It is about reducing their impact at scale. 🚀 #SytemDesign

Throughput Throughput is the amount of work completed per unit of time. It measures performance over time. In web applications, throughput is expressed as requests completed per second or transactions completed per second. Improving Throughput Horizontal scaling: Add more servers Vertical scaling: Add more CPU and memory Async processing: Avoid blocking on slow operations Batching: Process multiple items together Caching: Reduce work by reusing results Connection pooling: Reuse expensive connections Load balancing: Distribute work evenly #sytemdesign #learninpublic

4 lecture done Learned VPN basics, Dark Web working, and OSI Model fundamentals with practical understanding. @rohit_negi9 @CoderArmy #WebDevlopment #SytemDesign

This setup ensures efficient and reliable URL redirection at scale by combining the API Gateway, Request Handler, Caching Layer, and Database. #SytemDesign #LLDL #sde

Most #SytemDesign content you see online is just theory, stop wasting time commenting links, join to get hands on experience building real world #architecture with senior engineers & for #networking Register for FREE antt.me/oRF_FATz 📅 Feb 7 | 2:30–5:30 PM #meetups

Check out my latest article: SYSTEM DESIGN BUILDING BLOCKS #4 :- PROXY AND REVERSE PROXY linkedin.com/pulse/system-de… via @LinkedIn #SytemDesign #Servers #LearingInPublic

#Day5 of #21days of #sytemdesign Learned how Messaging Queues act as a buffer for async communication -Producer → Queue → Consumer -Producers publish messages -Consumers subscribe & act on them -Queue = durable, reliable middleman Keeps systems smooth & scalable.

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#8weekslldchallange #sytemdesign Today's is lecture 21 And i learn about Proxy design pattern in this i learn why i use cause user can't direct talk to with resource that's why we use Proxy design pattern. Thanks for understanding this. @adityatandon02 Mentor @rohit_negi9

@SaveToNotion #Tweet #SytemDesign #forEveryone

I watched a series of Google engineers System design discussions and they still used AWS resources over GCP lol. Poor GCP! #AWS #CloudComputing #sytemdesign

System design starts with understanding the problem & user needs. Begin bottom-up by breaking major tasks into smaller components & their interactions. #Programming #SytemDesign

Design your distributed system from the start around how you expect it to evolve. Start small & simple, then add complexity & scale as needed. #SytemDesign #ProgrammingTips

Design applications with scalability in mind. Use modular components to reduce complexity and easily extend functionality when needed #sytemdesign #programming

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