Implementing The Kubernetes Observability Stack
Released 4/2026
By Elle Krout
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 51m 45s | Size: 173 MB
Kubernetes applications can fail in a variety of ways, and without proper observability troubleshooting these issues can be guesswork.
What you’ll learn
Kubernetes applications can fail in a variety of ways, and without proper observability troubleshooting these issues can be guesswork. In this course, Implementing the Kubernetes Observability Stack, you’ll gain the ability to deploy, configure, and use a complete metrics, logging, and tracing stack to identify and resolve real-world application problems. First, you’ll explore deploy Prometheus, Grafana, Loki, and Promtail using Helm, configure a ServiceMonitor, and verify that application metrics and logs are successfully collected. Next, you’ll discover how to add distributed tracing by deploying Grafana Tempo and an OpenTelemetry Collector, and verify the trace ingestion path. Finally, you’ll learn how to configure exemplar linking to correlate metrics and traces directly in Grafana, enabling you to track an issue from metric anomaly to source. When you’re finished with this course, you’ll have the skills and knowledge of Kubernetes observability needed to deploy a full observability stack and use it to troubleshoot any issues you may encounter with your Kubernetes applications.
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