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The DevOps 2.5 Toolkit

You're reading from   The DevOps 2.5 Toolkit Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838647513
Length 322 pages
Edition 1st Edition
Concepts
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Author (1):
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Viktor Farcic Viktor Farcic
Author Profile Icon Viktor Farcic
Viktor Farcic
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Toc

Table of Contents (9) Chapters Close

1. Autoscaling Deployments and StatefulSets Based on Resource Usage FREE CHAPTER 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

A quick introduction to Prometheus and Alertmanager

We'll continue the trend of using Helm as the installation mechanism. Prometheus' Helm Chart is maintained as one of the official Charts. You can find more info in the project's README (https://github.com/helm/charts/tree/master/stable/prometheus). If you focus on the variables in the Configuration section (https://github.com/helm/charts/tree/master/stable/prometheus#configuration), you'll notice that there are quite a few things we can tweak. We won't go through all the variables. You can check the official documentation for that. Instead, we'll start with a basic setup, and extend it as our needs increase.

Let's take a look at the variables we'll use as a start.

 1  cat mon/prom-values-bare.yml

The output is as follows.

server:
  ingress:
    enabled: true
    annotations:
      ingress...
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