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Distributed Systems and Reliability

Distributed systems are where theory meets failure, and failure always wins eventually. Time drifts. Networks partition. Nodes lie. Yet we keep building systems that assume the opposite. This category is about understanding what actually happens when software spans machines, regions, and failure domains.

This section contains some of my best guides on distributed systems, fault tolerance, consensus, replication, consistency models, and reliability engineering. We explore why coordination is hard, why clocks are dangerous, and why eventual consistency is neither simple nor free.

You will see deep dives into Byzantine failures, quorum systems, leader election, idempotency, and the tradeoffs that shape real cloud architectures. The focus is on why distributed systems fail in practice, not just how they are described in academic papers.

If you have ever wondered why outages cascade, why correctness erodes under scale, or why five nines is mostly a marketing term, this category is the map behind the madness.