Book Image

Learn Kubernetes Security

By : Kaizhe Huang, Pranjal Jumde
5 (2)
Book Image

Learn Kubernetes Security

5 (2)
By: Kaizhe Huang, Pranjal Jumde

Overview of this book

Kubernetes is an open source orchestration platform for managing containerized applications. Despite widespread adoption of the technology, DevOps engineers might be unaware of the pitfalls of containerized environments. With this comprehensive book, you'll learn how to use the different security integrations available on the Kubernetes platform to safeguard your deployments in a variety of scenarios. Learn Kubernetes Security starts by taking you through the Kubernetes architecture and the networking model. You'll then learn about the Kubernetes threat model and get to grips with securing clusters. Throughout the book, you'll cover various security aspects such as authentication, authorization, image scanning, and resource monitoring. As you advance, you'll learn about securing cluster components (the kube-apiserver, CoreDNS, and kubelet) and pods (hardening image, security context, and PodSecurityPolicy). With the help of hands-on examples, you'll also learn how to use open source tools such as Anchore, Prometheus, OPA, and Falco to protect your deployments. By the end of this Kubernetes book, you'll have gained a solid understanding of container security and be able to protect your clusters from cyberattacks and mitigate cybersecurity threats.
Table of Contents (19 chapters)
1
Section 1: Introduction to Kubernetes
7
Section 2: Securing Kubernetes Deployments and Clusters
14
Section 3: Learning from Mistakes and Pitfalls

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...