This article explains how to capture Docker container logs, discusses the challenges of multi‑line log correlation, and presents two approaches—client‑side parsing and server‑side parsing—along with a concrete Flume customization using a DockerLog Java bean.
The article chronicles Yirendai’s four‑stage backend evolution—detailing the bottlenecks, architectural redesigns, logging improvements, and service‑splitting strategies that transformed a single‑server system into a scalable, multi‑service platform.
This article recounts Zhihu's evolution from a tiny Python‑Tornado service on a single Linode to a massive, highly available backend employing custom logging, event‑driven processing, page‑render optimizations, and a service‑oriented architecture that now supports over 100 million users.
The article examines how 1号店 evolved from a simple MVC architecture to a service‑oriented backend, emphasizing a comprehensive logging system that enables precise error classification, rapid issue localization, and proactive monitoring, ultimately improving reliability and scalability.
To protect MySQL databases from unauthorized access and performance issues, this guide outlines fourteen essential security measures—including restricting remote access, regular backups, disabling default accounts, tightening user privileges, securing configuration files, and enabling logging—providing concrete commands and configuration snippets for robust protection.
This article presents a comprehensive set of logging best‑practice rules—from defining log levels and classifications to using RequestIDs, monitoring alerts, and managing log size—aimed at improving system reliability, troubleshooting speed, and operational efficiency.
After two months of deep involvement in a distributed hybrid‑cloud project, I share practical insights on using Restful APIs, RabbitMQ, Redis, logging, component‑based development, testing strategies, coding standards, and cross‑team communication, highlighting challenges and solutions encountered while integrating C#, Java, and Python services.
The article outlines practical techniques for debugging live Java systems, emphasizing comprehensive distributed logging, global exception handling, proactive JStack usage, BTrace tracing, and custom JVM agents to quickly identify and resolve production issues.
This article explains the design principles, working mechanisms, installation steps, and common issues of syslog-ng and daemontools, showing how to configure syslog-ng for fine‑grained filtering, run it under daemontools supervision, and resolve a daemon restart loop.
The article shares a comprehensive set of development and operational best‑practice guidelines from Qunar’s internal wiki, covering URL testing, HTML validation, API documentation, security checks, logging, encoding, teamwork, and transparent change management for engineers.
