Book Image

Mastering Kubernetes

By : Gigi Sayfan
Book Image

Mastering Kubernetes

By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you’ll know everything you need to know to go from intermediate to advanced level.
Table of Contents (22 chapters)
Mastering Kubernetes
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Performance analysis with the dashboard


My favorite tool by far when I just want to know what's going on in the cluster is the Kubernetes dashboard. There are a couple of reasons for this, as follows:

  • It is built-in (always in sync and tested with Kubernetes)

  • It's fast

  • It provides an intuitive drill-down interface from the cluster level all the way down to individual container

  • It doesn't require any customization or configuration

While Heapster, InfluxDB, and Grafana are better for customized and heavy-duty views and queries, the Kubernetes dashboard's pre-defined views can probably answer all your questions 80–90% of the time.

You can also deploy applications and create any Kubernetes resource using the dashboard by uploading the proper YAML or JSON file, but I will not cover this because it is an anti-pattern for manageable infrastructure. It may be useful when playing around with a test cluster, but for actually modifying the state of the cluster, I prefer the commandline. Your mileage may...