Lessons Learned
Building observability and scaling into a Kubernetes platform reinforced several important principles.
Key Lessons
- Deployment is only one part of platform engineering
- Observability must be designed, not added later
- Infrastructure monitoring and workload monitoring serve different purposes
- Autoscaling should be validated under realistic conditions
- Dashboards and alerts are both necessary for production operations
Outcome
This repository demonstrates how observability, alerting, and autoscaling can be treated as first-class platform engineering concerns.