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The Kubernetes Workshop

You're reading from   The Kubernetes Workshop Learn how to build and run highly scalable workloads on Kubernetes

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838820756
Length 780 pages
Edition 1st Edition
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Authors (6):
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Zachary Arnold Zachary Arnold
Author Profile Icon Zachary Arnold
Zachary Arnold
Mohammed Abu Taleb Mohammed Abu Taleb
Author Profile Icon Mohammed Abu Taleb
Mohammed Abu Taleb
Wei Huang Wei Huang
Author Profile Icon Wei Huang
Wei Huang
Sahil Dua Sahil Dua
Author Profile Icon Sahil Dua
Sahil Dua
Mélony Qin Mélony Qin
Author Profile Icon Mélony Qin
Mélony Qin
Faisal Masood Faisal Masood
Author Profile Icon Faisal Masood
Faisal Masood
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Toc

Table of Contents (20) Chapters Close

Preface
1. Introduction to Kubernetes and Containers 2. An Overview of Kubernetes FREE CHAPTER 3. kubectl – Kubernetes Command Center 4. How to Communicate with Kubernetes (API Server) 5. Pods 6. Labels and Annotations 7. Kubernetes Controllers 8. Service Discovery 9. Storing and Reading Data on Disk 10. ConfigMaps and Secrets 11. Build Your Own HA Cluster 12. Your Application and HA 13. Runtime and Network Security in Kubernetes 14. Running Stateful Components in Kubernetes 15. Monitoring and Autoscaling in Kubernetes 16. Kubernetes Admission Controllers 17. Advanced Scheduling in Kubernetes 18. Upgrading Your Cluster without Downtime 19. Custom Resource Definitions in Kubernetes

15. Monitoring and Autoscaling in Kubernetes

Overview

This chapter will introduce you to how Kubernetes enables you to monitor your cluster and workloads, and then use the data collected to automatically drive certain decisions. You will learn about the Kubernetes Metric Server, which aggregates all cluster runtime information, allowing you to use this information to drive application runtime scaling decisions. We will walk you through setting up monitoring using the Kubernetes Metrics server and Prometheus and then use Grafana to visualize those metrics. By the end of this chapter, you will also have learned how to automatically scale up your application to completely utilize the resources on the provisioned infrastructure, as well as automatically scale your cluster infrastructure as needed.

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