An online gateway crashed despite low CPU and memory because its one‑connection‑one‑thread BIO model exhausted threads, prompting a deep dive into thread‑pool limits, epoll, Reactor patterns, Proactor, and back‑pressure, showing how each evolution decouples connections from resource consumption to achieve million‑QPS scalability.
This article reviews seven Python libraries—trio, asyncssh, zeroconf, dpkt, socketify.py, pynetdicom, and mitmproxy—explaining their core features, providing code examples, and showing how each abstracts low‑level networking complexities to enable faster, more reliable network applications.
This article explains how to use Flink CDC together with the CdcTools utility to automatically capture newly created MySQL tables and synchronize both their schema and data to a Doris database in real time, covering the required code, side‑output handling, async execution, and a special delete‑sign field.
This article explains how the team migrated their Python‑based data pipeline to a Rust‑powered web framework (Robyn), achieving a four‑fold reduction in write latency, lower CPU/memory usage, and improved scalability through async I/O and MPSC channels.
Valkey 8.0 introduces asynchronous IO threads, data prefetch, and memory access amortization (MAA), offloading many tasks from the main thread and dramatically increasing single‑node throughput to up to 1 million requests per second, while also improving memory utilization and overall system efficiency.
The article explains why Redis needs asynchronous IO threading, describes the shortcomings of previous IO‑thread models, details the design of the new async IO thread architecture with event‑notified client queues and thread‑safety mechanisms, and presents performance test results showing up to double the QPS and significantly lower latency.
This article provides an in‑depth overview of Python's multiprocessing module, covering process creation, inter‑process communication, synchronization primitives, error handling, debugging tools, and real‑world project examples to help developers efficiently leverage multi‑core CPUs for CPU‑bound tasks.
Workerman is an open‑source, high‑performance PHP application container that provides a low‑level service framework for building TCP/UDP, WebSocket, HTTP, and custom protocol servers, and this guide explains its core concepts, the Worker and Connection classes, and a simple usage example with code.
KeeWiDB, a next‑generation distributed KV store from Tencent Cloud, combines a proxy layer, multi‑node service layer, tiered hot‑cold data placement, multi‑threaded and coroutine‑based processing, persistent memory caching, direct I/O, and enhanced replication to address Redis’s memory cost, scalability, and latency challenges.
This article demonstrates how Swoole 4’s new coroutine kernel enables fully synchronous‑style PHP code to perform asynchronous I/O, file operations, database queries, and TCP/UDP networking within a single process, showcasing massive performance gains through practical code examples.
This article explains the evolution of concurrent I/O in PHP—from traditional multi‑process and multi‑thread blocking models, through the leader‑follower pattern and I/O multiplexing with epoll, to modern asynchronous programming using the Reactor model, coroutines, and the high‑performance Swoole extension.
