Kubernetes is a complex container management system. Your application running in containers is also a complex system as it embraces the distributed architecture of highly modular and cohesive services. As these containers run, things may not always behave as smoothly as you hope. Embracing the notions of antifragility and designing a system to be resilient despite the realities of resource limitations, network failures, hardware failures, and failed software logic. All of this demands a robust monitoring system to open views into the behaviors and health of your applications running in a cluster.

Three important aspects to observe are log streams, tracing, and metrics.

In this session, we look at some example microservices running in containers on Kubernetes. We add Istio to the cluster for meshing. We observe how logs are gathered, We see transactions are traced and measured between services. We inspect metrics and finally add alerts when metrics are indicating a problem.