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Mastering Kubernetes

You're reading from Mastering Kubernetes

Product type Book

Published in May 2017

Publisher Packt

ISBN-13 9781786461001

Pages 426 pages

Edition 1st Edition

Languages

Concepts

Containerization

Author (1):

Gigi Sayfan

Table of Contents (22) Chapters

Mastering Kubernetes

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Understanding Kubernetes Architecture

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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Authors (1)

Gigi Sayfan

Gigi Sayfan has been developing software for 25+ years in domains as diverse as instant messaging, morphing, chip fabrication process control, embedded multimedia applications for game consoles, brain-inspired ML, custom browser development, web services for 3D distributed game platforms, IoT sensors, virtual reality, and genomics. He has written production code in languages such as Go, Python, C, C++, C#, Java, Delphi, JavaScript, and even Cobol and PowerBuilder for operating systems such as Windows (3.11 through 7), Linux, macOS, Lynx (embedded), and Sony PlayStation. His technical expertise includes databases, low-level networking, distributed systems, containers, unorthodox user interfaces, modern web applications, and general SDLC.

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