General-purpose monitoring solutions, when used to monitor containerized applications, end up collecting individual metrics at the node, container, or pod levels, often resulting in data silos. These silos have to be aggregated and correlated at application and microservice levels for observing and troubleshooting application behavior, performance hotspots, and communication issues.
A Kubernetes-native observability tool can identify the problem, generate alerts with Kubernetes metadata included, and help troubleshoot for faster resolution of issues without adding more resources or cost.
In this paper, we elaborate on the benefits of purpose-built observability for Kubernetes and microservices, and present strategies to implement a full-stack observability platform for Kubernetes.