Kubernetes Observability Architecture and Strategy

Kubernetes clusters can generate a lot of data—from logs to metrics to traces. This course will teach you how to combine these telemetry points to perform effective troubleshooting and gain effective observability onto your cluster.

What you'll learn

In modern Kubernetes architectures, it's not enough to just passively monitor your clusters and applications; instead, you want true observability so you can effectively diagnose and troubleshoot issues with your cluster. In this course, Kubernetes Observability Architecture and Strategy, you'll gain the ability to implement observability solutions and gain insight into your cluster and microservices to reduce troubleshooting time. First, you'll explore the tools you need to effectively troubleshoot—these are your metrics, logs, and traces. Next, you'll discover the scalability costs and concerns of gathering tracing data and the benefits of index-less tracing. Finally, you'll learn how to use metrics exemplars to tie all your data points together to quickly troubleshoot and reduce your mean time to repair. When you're finished with this course, you'll have the skills and knowledge of Kubernetes observability needed to design cost-effective insight solutions for your Kubernetes cluster and resolve issues faster and more efficiently.

Homepage

https://www.pluralsight.com/courses/k8s-observability-architecture-strategy

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