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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

Which metric types should we use?

If this is the first time you're using Prometheus hooked into metrics from Kube API, the sheer amount might be overwhelming. On top of that, consider that the configuration excluded many of the metrics offered by Kube API and that we could extend the scope even further with additional exporters.

While every situation is different and you are likely to need some metrics specific to your organization and architecture, there are some guidelines that we should follow. In this section, we'll discuss the key metrics. Once you understand them through a few examples, you should be able to extend their use to your specific use-cases.

The four key metrics everyone should utilize are latency, traffic, errors, and saturation.

Those four metrics been championed by Google Site Reliability Engineers (SREs) as the most fundamental metrics for tracking...

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