7 articles
A worker pool is 35 times slower than the main thread when each task needs 0.05 ms of CPU, and 3.5 times faster when each needs 222 ms. Twelve measured cases show where the line sits and why transfer beats structured clone.
Master async/await in Python with asyncio, httpx, and aiofiles. This guide explains coroutines, event loops, and concurrent patterns so you can write fast, non-blocking Python code.
Distributed locks prevent concurrent access to shared resources across multiple servers. Learn when to use Redis SET NX, Redlock, database advisory locks, and fencing tokens — and when to avoid locks entirely.
Master thread pool isolation, semaphore-based bulkheads, tenant isolation, and failure injection testing for fault-tolerant distributed systems.
Understand the 6 libuv phases, async ordering, microtask queues, and blocking detection. Debug event loop starvation and request latency spikes with --prof profiling.
Master Worker Threads for CPU-bound tasks. Learn MessagePort communication, SharedArrayBuffer optimization, and building production-ready worker pools with real image processing examples.
Two requests check inventory simultaneously — both see 1 item in stock. Both proceed to purchase. You ship 2 items from 1. Race conditions in distributed systems are subtler than single-process races because you can''t use mutexes across services. Here''s how to prevent them.