You're reading from Learn Kubernetes Security Securely orchestrate, scale, and manage your microservices in Kubernetes deployments

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781839216503

Length 330 pages

Edition 1st Edition

Languages

C++

Tools

Kubernetes

Concepts

Cloud Security

Authors (2):

Pranjal Jumde

Kaizhe Huang

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1: Introduction to Kubernetes

2. Chapter 1: Kubernetes Architecture FREE CHAPTER

3. Chapter 2: Kubernetes Networking

4. Chapter 3: Threat Modeling

5. Chapter 4: Applying the Principle of Least Privilege in Kubernetes

6. Chapter 5: Configuring Kubernetes Security Boundaries

7. Section 2: Securing Kubernetes Deployments and Clusters

8. Chapter 6: Securing Cluster Components

9. Chapter 7: Authentication, Authorization, and Admission Control

10. Chapter 8: Securing Kubernetes Pods

11. Chapter 9: Image Scanning in DevOps Pipelines

12. Chapter 10: Real-Time Monitoring and Resource Management of a Kubernetes Cluster

13. Chapter 11: Defense in Depth

14. Section 3: Learning from Mistakes and Pitfalls

15. Chapter 12: Analyzing and Detecting Crypto-Mining Attacks

16. Chapter 13: Learning from Kubernetes CVEs

17. Assessments

18. Other Books You May Enjoy

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Monitoring resources in Kubernetes

As we discussed earlier, resource monitoring is an essential step for ensuring the availability of your services in your cluster. Resource monitoring uncovers early signs or symptoms of service unavailability in your clusters. Resource monitoring is often complemented with alert management to ensure that stakeholders are notified as soon as any problems, or symptoms associated with any problems, in the cluster are observed.

In this section, we first look at some built-in monitors provided by Kubernetes, including Kubernetes Dashboard and Metrics Server. We look at how we can set it up and discuss how to use these tools efficiently. Next, we look at some open source tools that can plug into your Kubernetes cluster and provide far more in-depth insight than the built-in tools.