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The DevOps 2.5 Toolkit

You're reading from  The DevOps 2.5 Toolkit

Product type Book
Published in Nov 2019
Publisher Packt
ISBN-13 9781838647513
Pages 322 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Viktor Farcic Viktor Farcic
Profile icon Viktor Farcic

Table of Contents (9) Chapters

1. Autoscaling Deployments and StatefulSets Based on Resource Usage 2. Auto-scaling Nodes of a Kubernetes Cluster 3. Collecting and Querying Metrics and Sending Alerts 4. Debugging Issues Discovered Through Metrics and Alerts 5. Extending HorizontalPodAutoscaler with Custom Metrics 6. Visualizing Metrics and Alerts 7. Collecting and Querying Logs 8. What Did We Do? 9. Other Books You May Enjoy

Exploring logs through kubectl

The first contact most people have with logs in Kubernetes is through kubectl. It is almost unavoidable not to use it.

As we're learning how to tame the Kubernetes beast, we are bound to check logs when we get stuck. In Kubernetes, the term "logs" is reserved for the output produced by our and third-party applications running inside a cluster. However, those exclude the events generated by different Kubernetes resources. Even though many would call them logs as well, Kubernetes separates them from logs and calls them events. I'm sure that you already know how to retrieve logs from the applications and how to see Kubernetes events. Nevertheless, we'll explore them briefly here as well since that will add relevance to the discussion we'll have later on. I promise to keep it short, and you are free to skip this section...

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