Book Image

Mastering Kubernetes - Third Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Third Edition

By: Gigi Sayfan

Overview of this book

The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.
Table of Contents (19 chapters)
17
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18
Index

Collecting metrics with Kubernetes

If you have some experience with Kubernetes, you may be familiar with cAdvisor and Heapster. cAdvisor was integrated into the kube-proxy until Kubernetes 1.12 and then it was removed. Heapster was removed in Kubernetes 1.13. If you wish, you can install them, but they are not recommended anymore as there are much better solutions now.

One caveat is that the Kubernetes dashboard v1 still depends on Heapster. The Kubernetes dashboard v2 is still in Beta at the time of writing. Hopefully, it will be generally available by the time you read this.

Kubernetes now has a Metrics API. It supports node and pod metrics out of the box. You can also define your own custom metrics.

A metric contains a timestamp, a usage field, and the time range the metric was collected (many metrics are accumulated over a time period). Here is the API definition for node metrics:

type NodeMetrics struct {
    metav1.TypeMeta
    metav1.ObjectMeta
    Timestamp...