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Deployment Strategies

Master deployment strategies for AI agents including staging, canary releases, and rollback procedures

Monitoring & Rollback

Monitor deployments in real-time. Track error rates, latency, satisfaction scores. Set automatic rollback triggers: if error rate >0.5%, rollback instantly. Manual rollback should take <5 minutes. Keep previous version ready. Monitor for 24-48 hours post-deployment. Faster detection = smaller impact.

Interactive: Deployment Dashboard Simulator

Watch metrics during deployment and see automatic rollback triggered:

Live Deployment Monitoring
Time: 0s
Error Rate
healthy
0.12%
Threshold: 0.5%
Latency P95
healthy
450ms
Threshold: 1000ms
Satisfaction
healthy
4.7/5
Threshold: 4/5
Throughput
healthy
520req/s
Threshold: 300req/s
Click "Start Monitoring" to simulate deployment monitoring with automatic rollback

Key Monitoring Metrics

📊 Error Rates

Track 4xx, 5xx errors. Rollback if >0.5% increase.

⚡ Latency

Monitor P50, P95, P99. Alert if P95 >2x baseline.

😊 Satisfaction

User ratings, thumbs up/down. Rollback if drops <4.0.

💡
Rollback Decision Tree

Automatic triggers: Error rate >0.5%, latency >2x baseline, satisfaction <4.0. Manual triggers: User complaints spike, data corruption detected, security vulnerability found. Rollback time target: <5 minutes. Communication: Notify team, update status page, post-mortem within 24 hours.

False positives hurt trust. Set thresholds based on historical data. Monitor for 10+ minutes before triggering automatic rollback (avoid reacting to temporary spikes).
Rollout Strategies