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The Complete Kubernetes Guide

You're reading from   The Complete Kubernetes Guide Become an expert in container management with the power of Kubernetes

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Product type Course
Published in May 2019
Publisher Packt
ISBN-13 9781838647346
Length 628 pages
Edition 1st Edition
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Authors (3):
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Jesse White Jesse White
Author Profile Icon Jesse White
Jesse White
Gigi Sayfan Gigi Sayfan
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Gigi Sayfan
Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
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Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Introduction to Kubernetes 2. Understanding Kubernetes Architecture FREE CHAPTER 3. Building a Foundation with Core Kubernetes Constructs 4. Working with Networking, Load Balancers, and Ingress 5. Using Critical Kubernetes Resources 6. Exploring Kubernetes Storage Concepts 7. Monitoring and Logging 8. Monitoring, Logging, and Troubleshooting 9. Operating Systems, Platforms, and Cloud and Local Providers 10. Creating Kubernetes Clusters 11. Cluster Federation and Multi-Tenancy 12. Cluster Authentication, Authorization, and Container Security 13. Running Stateful Applications with Kubernetes 14. Rolling Updates, Scalability, and Quotas 15. Advanced Kubernetes Networking 16. Kubernetes Infrastructure Management 17. Customizing Kubernetes - API and Plugins 18. Handling the Kubernetes Package Manager 19. The Future of Kubernetes 1. Other Books You May Enjoy Index

Monitoring Kubernetes with Heapster


Heapster is a Kubernetes project that provides a robust monitoring solution for Kubernetes clusters. It runs as a pod (of course), so it can be managed by Kubernetes itself. Heapster supports Kubernetes and CoreOS clusters. It has a very modular and flexible design. Heapster collects both operational metrics and events from every node in the cluster, stores them in a persistent backend (with a well-defined schema), and allows visualization and programmatic access. Heapster can be configured to use different backends (or sinks, in Heapster's parlance) and their corresponding visualization frontends. The most common combination is InfluxDB as the backend and Grafana as the frontend. The Google Cloud Platform integrates Heapster with the Google monitoring service. There are many other less common backends, as follows:

  • Log
  • Google Cloud monitoring
  • Google Cloud logging
  • Hawkular-Metrics (metrics only)
  • OpenTSDB
  • Monasca (metrics only)
  • Kafka (metrics only)
  • Riemann (metrics...
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