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Supercharge Your Microservices CI/CD with Service Mesh and Kubernetes

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Demo shows an end-to-end CI/CD canary pipeline that actually works: GitHub Actions builds images, pushes to ACR, AKS deploys, Flagger drives traffic splits via Service Mesh Interface (SMI) and Linkerd sidecars, Prometheus supplies path-level latency metrics, and a load-tester (hey) simulates traffic. Configurable canary increments (example: 10% → 50%) and health/latency gates are enforced automatically. If you need a concrete recipe for automating canaries with Flagger and observability via Prometheus/Linkerd, watch.

AI-written summary · about

  1. 0:00Introduction
  2. 1:25Microservices
  3. 2:53Testing
  4. 3:50Strategies
  5. 5:32Service Mesh
  6. 6:14What is Service Mesh
  7. 8:04LinkerD
  8. 8:39Architecture
  9. 9:09Flagger
  10. 9:57Service Mesh Interface
  11. 11:19Traffic Split
  12. 11:32SMI
  13. 11:56Live Demo
  14. 12:24Demo Application
  15. 13:06Demo Application Overview
  16. 13:43Demo Application Deployment
  17. 15:39Pull Request Workflow
  18. 16:33Acceptance Testing
  19. 17:27Fail
  20. 18:18Pull Request
  21. 18:48Create Container Image
  22. 19:31CICD Workflow
  23. 19:59Canary
  24. 20:45Acceptance Test
  25. 21:21Test Status
  26. 21:46Traffic Split API
  27. 22:27API Calls
  28. 23:06Latency Measurements
  29. 23:32Slack
  30. 24:05Troubleshooting
  31. 25:27Questions
  32. 31:14Configuration
  33. 33:07Wrap Up
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