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Learn how to use Go’s x/sync/semaphore to enforce a strict concurrency limit on a shared resource. The guide covers requirements, minimal design, trust boundaries, operational checks, failure modes, and when to redesign.
Learn how to use Node.js worker threads to run CPU‑intensive tasks without blocking the event loop. Step‑by‑step guide, example, checks, and recovery options.
GenServer serializes access to state without locks. This post builds a working key-value store, puts it under supervision, and explains when a single process becomes the bottleneck.
When Java servers hit the blocking‑I/O wall, virtual threads let you keep the simple request‑per‑thread model but scale to millions of tasks. This guide shows how to add virtual threads, a minimal echo server example, and the trade‑offs to watch for.
Learn how Task.async_stream gives you bounded concurrency, per‑task timeouts and lazy processing for large collections in Elixir.
A decision guide that outlines constraints, compares Lwt, Eio, and Domains/Domainslib, explains trade‑offs, and shows a minimal validation sketch for each approach using documented APIs.
Learn how Haskell's Software Transactional Memory (STM) lets you manage shared state safely and composably, with a worked bank‑transfer example and practical adoption tips.
Concurrency is Cloud Run's biggest lever for cost and performance. Learn how to calculate the right value for your workload, avoid OOM kills, and verify your tuning with actual metrics.
Tired of thread‑pool limits and CPU spikes when scaling Java I/O workloads? Learn how Java’s virtual threads, introduced in JDK 21, let you run millions of concurrent tasks with minimal overhead, and how to migrate your code safely.
java
ocaml
haskell