Latency and Tail Latency at Scale in Distributed Systems

Distributed Systems Series — Part 5.2: Scalability & Performance Why Latency at Scale Is a Different Problem Post 5.1 established what scalability means and identified Amdahl’s Law as the mathematical ceiling on parallelism. This post addresses the latency dimension of scalability — specifically why latency behaviour at scale is fundamentally different from latency at low … Read more

Observability in Distributed Systems: Diagnosing Failures with Logs, Metrics and Traces

Distributed Systems Series — Part 4.8: Fault Tolerance & High Availability Distributed Systems Without Observability Are Black Boxes Every mechanism covered in Part 4 — failure detection, redundancy, self-healing, high availability architecture, fault isolation — produces value only if engineers can observe whether it is working. A Raft cluster that is experiencing unnecessary leader elections … Read more