Uber improved its data observability by implementing a system that tracks I/O patterns across its cloud and on-prem infrastructure. This allows for real-time insights into application performance, network usage, and data access, aiding in migration to a hybrid cloud model. The solution aggregates metrics without requiring code changes, benefiting various workloads.

This article explains Kubernetes metrics and their importance in monitoring cluster health and performance. It covers various types of metrics, such as cluster, node, pod, network, storage, and application metrics, along with tools for effective monitoring.