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.