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Mastering Kubernetes

You're reading from   Mastering Kubernetes Large scale container deployment and management

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786461001
Length 426 pages
Edition 1st Edition
Tools
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Author (1):
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Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
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Table of Contents (16) Chapters Close

Preface 1. Understanding Kubernetes Architecture FREE CHAPTER 2. Creating Kubernetes Clusters 3. Monitoring, Logging, and Troubleshooting 4. High Availability and Reliability 5. Configuring Kubernetes Security, Limits, and Accounts 6. Using Critical Kubernetes Resources 7. Handling Kubernetes Storage 8. Running Stateful Applications with Kubernetes 9. Rolling Updates, Scalability, and Quotas 10. Advanced Kubernetes Networking 11. Running Kubernetes on Multiple Clouds and Cluster Federation 12. Customizing Kubernetes - API and Plugins 13. Handling the Kubernetes Package Manager 14. The Future of Kubernetes 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 backend and Grafana as frontend. The Google Cloud Platform integrates Heapster with the Google monitoring service. There are many other less common backends, such as the following:

  • Log

  • InfluxDB

  • Google Cloud monitoring

  • Google Cloud logging

  • Hawkular-Metics (metrics only)

  • OpenTSDB

  • Monasca (metrics only)

  • Kafka (metrics only)

  • Riemann...

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