Deep dives into system design, backend development, and modern software engineering practices. Sharing real-world experiences building scalable distributed systems.
The engineering story behind TAO — Facebook's distributed graph store handling 400+ billion edges, 1 billion queries/second, and sub-millisecond latency. From the MySQL scaling crisis to a custom planet-scale system.
A first-principles deep dive into Databricks Photon — the SIGMOD 2022 best industry paper. From row-at-a-time execution to vectorized batches, from JVM overhead to native C++, from CPU cache misses to SIMD acceleration.
A comprehensive engineering blueprint for building Facebook at scale — covering social graph, news feed, messaging, media storage, ads, and the infrastructure serving 3 billion users.
How Google, Meta, Netflix, and Amazon count billions of unique users with 12KB of memory. A case-study driven deep-dive into HyperLogLog, from Mag7 production systems to a complete C++ implementation.
From a 1970 paper on space/time trade-offs to the backbone of Google Bigtable, Ethereum, and every modern database. The complete story of Bloom filters: origin, evolution, mathematics, and production implementations.
Master the core algorithms behind scalable distributed systems. We explore Consistent Hashing, from its mathematical foundations to a production-ready Go implementation.