nw-production-readiness

Solid

Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

DevOps & Infrastructure 526 stars 55 forks Updated 1 weeks ago MIT

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Quality Score: 92/100

Stars 20%
91
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Production Readiness ## Monitoring and Observability ### Application Monitoring - **Performance**: response time | throughput | latency percentiles (P50, P95, P99) - **Resources**: CPU | memory | database connections | cache hit rates - **Errors**: exception tracking | error rate trends | integration failure detection - **Business**: KPI tracking | conversion funnels | feature usage | revenue impact ### Infrastructure Monitoring Server/container health and resource utilization | Network performance and connectivity | Storage capacity and I/O performance | Security event detection. ### Alerting Tiers | Tier | Condition | Response | |------|-----------|----------| | Page | Service down, data loss risk, security breach | Immediate response | | Urgent | Error rate >2x baseline, latency SLA breach | Response within 15 min | | Warning | Capacity >80%, error rate trending up | Response within 1 hour | | Info | Deployment complete, metric threshold crossed | Review next business day | ## Operational Procedures ### Incident Response 1. Detect: automated alerting identifies issue 2. Triage: classify severity, assign responder 3. Communicate: notify stakeholders per severity level 4. Resolve: apply fix or rollback 5. Review: post-incident review within 48 hours 6. Improve: update runbooks and monitoring based on findings ### Maintenance Procedures Regular update and patching schedule | Backup verification (test restores quarterly) | Security vulnerability scanning (automated, w...

Details

Author
nWave-ai
Repository
nWave-ai/nWave
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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