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Learn when to use GenServer.call vs GenServer.cast in Elixir. We explore the trade-offs between synchronous consistency and asynchronous throughput with a practical rate-limiter example.
Stop letting network latency freeze your Python apps. Learn how to use asyncio and aiohttp to handle concurrent I/O-bound tasks and increase application throughput.
A decision guide to blocking versus future-based calls in Ballerina integrations, with a start/await example and a way to verify the latency change.
Learn how to use Go's context package to cancel goroutines gracefully, prevent leaks, and enforce timeouts in concurrent applications. A practical example and actionable checklist are included.
Enable SQLite’s WAL mode with a single PRAGMA, see a concrete code example, and learn the limits and common pitfalls that can bite developers when they try to improve concurrency and performance.
Learn how to implement a high-throughput circular buffer in C using power-of-two masking and atomic indices to achieve O(1) performance without dynamic memory allocation.
Learn when to select a binary semaphore for exclusive access versus a counting semaphore for throttling a pool of resources, with trade‑offs on fairness, ownership, and a practical Java implementation.
Learn how Node.js worker_threads move heavy CPU work off the event loop, keeping your server responsive with a clear example and practical trade‑offs.
Learn how to prevent hanging Go programs by using the select statement and time.After to implement robust timeouts and non-blocking communication.
python
ballerina
go
nodejs