A DevOps State of Mind: Managing Microservices + Databases with Kubernetes

on YouTube ↗59m

" summary

Claims Kubernetes runs an automated software factory for containerized microservices and databases and demonstrates concrete tooling: image scanning via OpenSCAP, monitoring with Prometheus / Jaeger, service mesh with Istio/Envoy. Examples include a 2-web + 1-app pod layout, an 80% CPU threshold triggering auto‑scale, a rolling update with zero downtime, a Flyway migration run as a Kubernetes Job to upgrade Postgres, a statefulset of replicas 0/1/2 for MongoDB, and a note that ~64% of public images show medium/high vulns.

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" chapters (52)

1. 0:00Introduction
2. 0:28Strategic Inflection Points
3. 2:30Technology Innovation
4. 4:20Software Factor
5. 6:12Daily Automation
6. 6:37Enterprise Challenges
7. 6:50Open Source Culture
8. 7:46Containers
9. 11:13Automated Software Factory
10. 13:04Kubernetes Orchestration
11. 14:19Kubernetes Pods
12. 17:47Container Images
13. 18:45Container Image
14. 19:56Immutable Containers
15. 21:30Config Map
16. 22:37Best Practices
17. 23:28Container Builds
18. 23:58Dependencies
19. 25:03Automations
20. 25:48CICD Pipeline
21. 27:04Reproduceable Build
22. 28:50Whats Inside
23. 29:11Private Registry
24. 29:33Sign Images
25. 29:56Container Security
26. 30:58OpenScat
27. 31:49Scan Report
28. 32:03Security Vulnerability Scanning
29. 32:36CI CD Pipeline
30. 32:48Network namespaces
31. 33:27Network policy
32. 33:57Deployment strategies
33. 34:25Container Pipeline
34. 35:57Recreating Rolling Updates
35. 36:43Rolling Updates
36. 38:34Bluegreen Deployment
37. 39:13Bluegreen Disadvantages
38. 40:12ABE Testing
39. 40:37Canary Deployment Model
40. 41:31Continuous Feedback Loop
41. 41:45Managed Monitoring Solutions
42. 42:37External Services
43. 43:07Database Services
44. 45:58Databases
45. 48:25Stateful Sets
46. 49:02Persistent Volume
47. 50:06Database Migration
48. 50:27Version Control
49. 53:07Whats Next
50. 56:14Operators
51. 57:50Key Native
52. 58:52Thank you

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