Getting comprehensive visibility into a Kubernetes cluster requires gathering data across multiple layers. This involves collecting information about nodes, pods, applications, and cluster state while considering three key observability pillars: Infrastructure, Applications, and Logs.
The core value proposition centers on correlation between these pillars. By enabling teams to connect insights across layers, organizations can improve their Mean-time-to-detection (MTTD) and Mean-time-to-resolution (MTTR)—ultimately enhancing customer satisfaction and user experience.
This presentation showcases practical approaches to instrument Kubernetes infrastructure and applications, providing deep and wide visibility into operational and development aspects of our applications.
These findings were shared at a Datadog community event in Atlanta, featuring local practitioners discussing monitoring best practices.