Ups, let's revert! 🔥 Automating Kubernetes Rollouts with Argo a...
summary
Hands-on demo shows a ping/ponger microservice, Argo Rollouts + Prometheus + Grafana + Tempo, and auto-reverts that actually work: a canary spins one pod while scaling down one of five replicas, Prometheus analysis checks require error rate < 20% and p90 latency < 1s with a failureLimit of 3, aggressive scrape 5s for the demo. Rollouts stop and rollback automatically when the Prometheus-based analysis fails, exemplars link slow requests to traces so the exact code path causing 2s sleeps is found and fixed.
AI-written summary · about
chapters (9)
- 0:00Start
- 1:46Prometheus and Argo Rollouts
- 2:03Demo
- 4:27Rollout Yammer File
- 7:52Failure Limit
- 9:38User Experience
- 10:25Success and Error Rate
- 13:18Trigger a New Deployment through Aggro Rollouts
- 14:11Latency
related talks
40mProgressive Delivery with Kubernetes and Argo Rollouts
30mProgressive Delivery Made Easy With Argo Rollouts
22mAnalysis in Action: Real-World Metrics Driven Argo Roll...
30mArgo Rollouts at Scale: How We Brought Automated Rollback to 2100+ Micro-serv...
35mProgressive Delivery with Argo Rollouts
24mFix Production Rollouts on the Fly With Agentic AIOps
23mStop Deploying Blind! Using Observability and Argo Rollouts to Light the Way
24mArgo Rollouts from the Trenches – Next Level Progressive Delivery Best Practices