Что делал если ночью падал production в пострелизной поддержке?

Night Production Incidents

When production crashed at night, I followed a structured approach: immediate response with quick information gathering (5 minutes), severity assessment (P1 critical, P2 high, P3 medium), team assembly with on-call developer and DevOps engineer, and parallel work - DevOps analyzed logs while dev analyzed code. For example, when database connections were exhausted at 2:30 AM, DevOps quickly increased the connection pool (15 minutes downtime), devs found the root cause (connection leak in new feature), and deployed a patch. Next day we did post-mortem and added monitoring. I managed on-call rotation fairly (each person once per month, including myself), provided compensation (premium pay and flexible hours), and used PagerDuty for automated alerts. For prevention, I implemented robust monitoring with alerts for CPU, memory, disk space, slow queries, error rates, and connection pools. I used gradual canary deployments (5% first, monitor 30 min, then 100%) to catch issues early, maintained database redundancy with failover capability, and did load testing at 10x peak traffic. Key principles: stay calm (team looks to you for stability), appreciate team (thank for 3 AM response, pay premium, give flexible hours), prevent incidents through good systems, and treat post-mortems as learning not punishment. My track record: P1 incidents averaged 1-2 per month, MTTR improved from 4 hours to 1.5 hours, and repeat P1 rate dropped from 40% to 5%.