Your product team wants an audit trail, replayable history, and the ability to rebuild read models without running migrations on a 500GB table. Here is how to implement event sourcing in PostgreSQL without Kafka, schema registries, or six months of migration pain — just an append-only table, a projection function, and the replay logic that makes it useful.
A single slow report endpoint consumed every connection in the pool, and your login API started timing out. Here is how the bulkhead pattern isolates failure domains in Node.js — with semaphores, separate pools, and the fast-fail logic that keeps the rest of your service alive.
A user uploads a 40MB CSV and your API health checks start failing — not because the request is slow, but because JSON.parse blocked the event loop for two seconds. Here is the 60-line worker thread pool that moves CPU-bound work off the event loop, with the benchmark that proves the difference.
Most queue incidents do not look like crashes. They look like rising memory, growing lag, and retry storms while the service is still “up.” This guide shows how to detect missing backpressure in Node.js workers and apply a practical concurrency + stream pattern that keeps throughput stable under load.