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Kubernetes and Docker - An Enterprise Guide

You're reading from   Kubernetes and Docker - An Enterprise Guide Effectively containerize applications, integrate enterprise systems, and scale applications in your enterprise

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781839213403
Length 526 pages
Edition 1st Edition
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Authors (2):
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Marc Boorshtein Marc Boorshtein
Author Profile Icon Marc Boorshtein
Marc Boorshtein
Scott Surovich Scott Surovich
Author Profile Icon Scott Surovich
Scott Surovich
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Docker and Container Fundamentals
2. Chapter 1: Docker and Container Essentials FREE CHAPTER 3. Chapter 2: Working with Docker Data 4. Chapter 3: Understanding Docker Networking 5. Section 2: Creating Kubernetes Development Clusters, Understanding objects, and Exposing Services
6. Chapter 4: Deploying Kubernetes Using KinD 7. Chapter 5: Kubernetes Bootcamp 8. Chapter 6: Services, Load Balancing, and External DNS 9. Section 3: Running Kubernetes in the Enterprise
10. Chapter 7: Integrating Authentication into Your Cluster 11. Chapter 8: RBAC Policies and Auditing 12. Chapter 9: Deploying a Secured Kubernetes Dashboard 13. Chapter 10: Creating PodSecurityPolicies 14. Chapter 11: Extending Security Using Open Policy Agent 15. Chapter 12: Auditing using Falco and EFK 16. Chapter 13: Backing Up Workloads 17. Chapter 14: Provisioning a Platform 18. Assessments 19. Other Books You May Enjoy

Enforcing memory constraints

So far in this chapter, we've built policies that are self-contained. When checking whether an image is coming from a pre-authorized registry, the only data we needed was from the policy and the containers. This is often not enough information to make a policy decision. In this section, we'll work on building a policy that relies on other objects in your cluster to make policy decisions.

Before diving into the implementation, let's talk about the use case. It's a good idea to include at least memory requirements on any Pod submitted to the API server. There are certain namespaces though where this doesn't make as much sense. For instance, many of the containers in the kube-system namespace don't have CPU and memory resource requests.

There are multiple ways we could handle this. One way is to deploy a constraint template and apply it to every namespace we want to enforce memory resource requests on. This can lead to...

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