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A decision guide for structuring concurrency in Crystal: compare pure fiber/CSP, supervised worker pools, thread bridges, and process isolation with a concrete worker-pool implementation and validation checklist.
Learn how to implement a high-concurrency I/O service using Crystal's cooperative fibers and channels, including strategies to avoid scheduler stalls and memory leaks.
Learn how to prevent goroutine leaks and manage concurrency in Go using buffered channels, the select statement, and proper shutdown signals.
Buffered channels let Go producers run ahead, boosting pipeline throughput. Using select you can add graceful shutdown, timeouts, and non‑blocking coordination. This blog shows a concrete example, buffer‑size trade‑offs, and checks to keep concurrency safe.
Learn how Go channels replace mutexes for safe goroutine coordination, with a worker‑pool example, select‑based timeouts, and practical trade‑offs.
Crystal's fibers and channels give you typed, backpressure-aware concurrency that reads like sequential code. Here's how the model works, a worker-pool example, and the pitfalls to avoid.
Crystal's typed channels and fibers make I/O-heavy worker pools read like plain blocking code — but fibers aren't threads. A worked example, backpressure notes, and the parallelism caveat.
Learn how to architect Phoenix Channels for real‑time apps: isolate state, enforce data boundaries, monitor PubSub, and handle failures. Includes a concrete persistent chat example and guidelines for scaling.
Learn how to prevent hanging Go programs by using the select statement and time.After to implement robust timeouts and non-blocking communication.
crystal
phoenix