From Lift-and-Shift to K8s: A Two-Phase DevOps Modernization
summary
A concrete case study of a legacy ticketing monolith that handles 100,000 tickets every day describes a measured two‑phase move: lift and shift to Google Compute Engine to establish a cloud baseline, then containerization into GKE with GKE autopilot and an Oracle to Postgress migration using change‑data‑capture and Terraform for reproducible load tests. Outcomes: minutes‑level cutover, 200+ microsegmented communication ports, extensive load testing and automated DR exercises that validate production resilience.
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chapters (10)
- 0:00Introduction and Speaker Background
- 1:07Understanding the Legacy System
- 3:01Phase One: Lift and Shift to Google Compute Engine
- 7:24Phase Two: Kubernetes Transformation
- 8:22Database Migration Challenges
- 9:32Security Enhancements in Kubernetes
- 10:27Disaster Recovery Strategy
- 12:18Lessons Learned and Best Practices
- 15:35SRE Insights on Operating at Scale
- 23:38Conclusion and Q&A
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