RUNLOCALAIv38
->Will it run?Best GPUCompareTroubleshootStartLearnPulseModelsHardwareToolsBench
Run check
RUNLOCALAI

Independently operated catalog for local-AI hardware and software. Hand-written verdicts. Source-cited claims. Reproducible commands when we have them.

OP·Eruo Fredoline
DIR
  • Models
  • Hardware
  • Tools
  • Benchmarks
TOOLS
  • Will it run?
  • Compare hardware
  • Cost vs cloud
  • Choose my GPU
  • Prompting kits
  • Quick answers
REF
  • All buyer guides
  • Learn local AI
  • Methodology
  • Glossary
  • Errors KB
  • Trust
EDITOR
  • About
  • Author
  • How we make money
  • Editorial policy
  • Contact
LEGAL
  • Privacy
  • Terms
  • Sitemap
MAIL · MONTHLY DIGEST
Get monthly local AI changes
Monthly recap. No spam.
DISCLOSURE

Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

© 2026 runlocalai.coIndependently operated
RUNLOCALAI · v38
  1. >
  2. Home
  3. /Learn
  4. /Courses
  5. /Capstone: Full-Stack AI App
  6. /Ch. 17
Capstone: Full-Stack AI App

17. Launch Checklist

Chapter 17 of 18 · 15 min
KEY INSIGHT

A launch checklist prevents embarrassing production incidents—treating it as ceremonial undermines its purpose.

The launch checklist ensures all prerequisites are met before production traffic. It covers infrastructure, security, monitoring, and documentation. Each item should be verified and signed off.

Infrastructure Readiness

  • Production environment provisioned with required capacity
  • Domain name registered and DNS configured
  • TLS certificates obtained and auto-renewal configured
  • Load balancer configured with health checks
  • Database backups scheduled and tested
  • Redis persistence configured
  • Object storage configured for document storage

Security Verification

  • All services require authentication
  • Rate limiting configured at API gateway
  • Input validation on all endpoints
  • File upload validation (type, size, magic bytes)
  • SQL injection protection (parameterized queries)
  • Secrets stored securely (not in code or logs)
  • Security scan completed with no high findings
  • Penetration test completed (if applicable)

Monitoring and Alerting

  • Prometheus collecting metrics from all services
  • Grafana dashboards deployed
  • Alerts configured for:
    • Service downtime
    • High latency (>5s p95)
    • Error rate >1%
    • Queue depth >100
    • Disk usage >80%
    • Memory usage >90%
  • On-call rotation configured
  • Alert notification channels tested

Data and Storage

  • Database migrations tested in staging
  • Document storage quota configured
  • Backup retention policy configured
  • Data retention policy documented
  • GDPR compliance verified (if EU users)

Documentation

  • User guide complete
  • API documentation accurate
  • Deployment runbook tested
  • Incident response plan documented
  • Support contacts established

Testing

  • Unit tests passing (>80% coverage)
  • Integration tests passing
  • Load test completed at 2x expected traffic
  • Chaos engineering tests completed
  • Rollback tested successfully

Launch Approval

Role Name Sign-off Date
Engineering Lead
DevOps Lead
Security Lead
Product Owner

Post-Launch

  • Verify analytics tracking
  • Confirm error reporting active
  • Monitor dashboards for 24 hours
  • Announce to users
  • Schedule 1-week health check
EXERCISE

Review this checklist against your specific requirements. Add items specific to your compliance or operational needs.

← Chapter 16
Deployment Runbook
Chapter 18 →
Full-Stack AI App Project