A guide to observability for Java apps in Kubernetes

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From k9s to OpenTelemetry: A guide to observe (Java apps) in Kubernetes Matthias Häußler Chief Technologist, Novatec

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Agenda 1. Intro 2. Kubernetes API 3. Prometheus & Grafana 4. Service Mesh − Sidecar-based − eBPF-based 5. Application-based 5

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Detail View – Observability Technologies 28

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▪ Least intrusive ▪ No change to the cluster or any apps required ▪ Helpful for understanding Kubernetes and getting an overview ▪ Little network insights ▪ No service connections visible Characteristics 44

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▪ Extends Kubernetes for limitations in network traffic awareness and shaping capabilities ▪ Concept of injecting sidecar proxy into each pod to have control and insight into entire network flow ▪ No change to application or application container required ▪ No application-level metrics Characteristics 61

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▪ Injection of proxy component on node instead of pod level ▪ Linux low-level functionality leveraged for Kubernetes observability ▪ Fast growing technology in CNCF landscape ▪ Application and application container untouched ▪ Cluster needs to be configured once Characteristics 72

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Language coverage 83

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▪ Provides application level metrics and enables root cause analysis ▪ Changes to application or container required ▪ Agents specific to programming language and frameworks Characteristics 104