Tools for collecting etcd metrics and logs

The article details how to effectively scale Kubernetes clusters while maintaining a small, manageable etcd cluster—crucial for performance and stability. It advocates for reducing etcd load by offloading long-term storage of custom resources and historical data to external databases, and using features like server-side apply to minimize etcd writes. By strategically managing data stored in etcd, even rapidly growing Kubernetes deployments can avoid etcd becoming a bottleneck.