This final chapter of a 20-part Java series presents a 7-step fault review SOP, categorizes 99% of production faults into six root causes, defines eight high-availability architecture principles, and outlines a four-layer risk prevention system to shift from reactive firefighting to proactive stability.
This article details eight high-frequency Redis production faults—cache penetration, breakdown, avalanche, big keys, hot keys, connection exhaustion, memory OOM, and consistency issues—providing symptoms, root causes, troubleshooting commands, solutions, and a universal SOP for rapid diagnosis and resolution.
The article presents five practical patterns for using AI to debug intermittent production bugs: time-window log analysis, comparative field diffing, concurrent reproduction scripts, hypothesis validation with evidence tables, and integrating logging/database monitoring via MCP, emphasizing AI for retrieval/enumeration while humans retain fix responsibility.
This article recounts a series of real‑world production incidents—including massive concurrency overloads, DDoS attacks, SQL injection breaches, and critical bugs—encountered by an internet finance platform, and shares the concrete technical fixes and lessons learned to improve system resilience.
