Technical articles on system design, backend engineering, Go, and distributed systems.
Building a type-ahead search system with tries, real-time ranking, and low-latency delivery at scale — the way Google and Bing do it.
How to architect a cloud storage system like Google Drive — chunking, deduplication, sync, conflict resolution, and storage at petabyte scale.
A reference guide covering the key terms and concepts every system design interview demands — from scalability and availability to caching and load balancing.
System design walkthrough for building a scalable real-time chat platform — WebSockets, message storage, fan-out, and presence at scale.
OS fundamentals that every systems programmer should understand — processes, threads, memory management, scheduling, and system calls.
A practical exploration of concurrency control strategies — locking, MVCC, optimistic concurrency, and event-driven patterns in distributed architectures.
A deep dive into Go concurrency primitives and how the Go runtime manages memory — from goroutines to the tricolor mark-and-sweep GC.
Practical techniques that slashed API response times by 10x in a production backend — profiling, caching, query optimization, and connection pooling.
Core concepts behind distributed systems — consistency, availability, partition tolerance, and the real trade-offs engineers face daily.
Deep dive into Java threads, synchronization, and concurrent programming patterns for building performant backend systems.
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