
Zero-Downtime Deployments: The Complete Playbook
Blue-green, canary, rolling updates, feature flags — every technique explained with real failure stories, rollback strategies, and the database migration patterns that make or break them.

Blue-green, canary, rolling updates, feature flags — every technique explained with real failure stories, rollback strategies, and the database migration patterns that make or break them.
A journey through PostgreSQL internals: the planner, executor, buffer pool, WAL, and MVCC — understanding these makes every query you write more intentional.
NextAuth v5, protecting routes with Middleware, JWT vs session strategies, and pushing auth logic to the Edge for zero-latency protection — all production-proven patterns.
Traces, metrics, logs — the three pillars and the fourth nobody talks about: profiling. How to instrument distributed systems so you can debug them when they fail at 3am.
How Google Docs, Figma, and Notion let multiple users edit simultaneously without conflicts — the beautiful mathematics of conflict-free replicated data types.
At-least-once vs exactly-once delivery, dead letter queues, consumer groups, and idempotency — the complete mental model for building reliable event-driven systems.
Raft, Paxos, Viewstamped Replication — not as academic exercises but as practical mental models for understanding what your databases actually guarantee.
Why wall clocks lie in distributed systems, how logical clocks restore causality, and the precise guarantees you can and cannot rely on when reasoning about event ordering.
Enforcing strict module contracts in a monorepo: path aliases, project references, barrel files, and why you should treat your shared packages as published APIs.