Deep dives into distributed systems, Rust, AI/ML, and the craft of engineering at scale.
Exploring consensus algorithms, CAP theorem trade-offs, and practical patterns for designing systems that remain available under partition.
A deep dive into borrow checking, lifetimes, and how Rust achieves memory safety at compile time — and why this matters for systems programming.
Techniques for reducing latency and increasing throughput in large language model serving — from KV caching to speculative decoding and continuous batching.
How WebAssembly is transforming edge computing, enabling near-native performance for computationally intensive workloads directly in the browser.
A practical guide to extending Kubernetes with custom controllers and operators — turning complex operational knowledge into automated, self-healing systems.
An accessible introduction to ZK proofs — the cryptographic primitive that lets you prove you know something without revealing what you know.