Keeping a close eye on your production clusters is not just good practice — it’s essential for survival. Whether you’re managing applications at scale or ensuring robust service delivery, understanding the vital signs of your clusters through metrics is like having a dashboard in a race car, giving you real-time insights and foresight into performance bottlenecks, resource usage and the operational health of your car.
However, too much happens in any cluster. There are so many metrics to track that the huge observability data you may collect could become another obstacle to viewing what is actually happening with your cluster. That’s why you should only collect the important metrics that offer you a complete picture of your cluster’s health without overwhelming you.