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Learn Kubernetes Security

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

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839216503
Length 330 pages
Edition 1st Edition
Languages
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Authors (2):
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Pranjal Jumde Pranjal Jumde
Author Profile Icon Pranjal Jumde
Pranjal Jumde
Kaizhe Huang Kaizhe Huang
Author Profile Icon Kaizhe Huang
Kaizhe Huang
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Toc

Table of Contents (19) Chapters Close

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

Managing resources in Kubernetes

Kubernetes provides the ability to proactively allocate and limit resources available to Kubernetes objects. In this section, we will discuss resource requests and limits, which form the basis for resource management in Kubernetes. Next, we explore namespace resource quotas and limit ranges. Using these two feature, clusters, administrators can cap the compute and storage limits available to different Kubernetes objects.

Resource requests and limits

kube-scheduler, as we discussed in Chapter 1, Kubernetes Architecture, is the default scheduler and runs on the master node. kube-scheduler finds the most optimal node for the unscheduled pods to run on. It does that by filtering the nodes based on the storage and compute resources requested for the pod. If the scheduler is not able to find a node for the pod, the pod will remain in a pending state. Additionally, if all the resources of the node are being utilized by the pods, kubelet on the node...

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