Book Image

Learn Kubernetes Security

By : Kaizhe Huang, Pranjal Jumde
5 (1)
Book Image

Learn Kubernetes Security

5 (1)
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)
Section 1: Introduction to Kubernetes
Section 2: Securing Kubernetes Deployments and Clusters
Section 3: Learning from Mistakes and Pitfalls

Integrating image scanning into the CI/CD pipeline

Image scanning can be triggered at multiple stages in the DevOps pipeline and we've already talked about the advantages of scanning an image in an early stage of the pipeline. However, new vulnerabilities will be discovered, and your vulnerability database should be updated constantly. This indicates that passing an image scan in the build stage doesn't mean it will pass at the runtime stage if there is a new critical vulnerability found that also exists in the image. You should stop the workload deployment when it happens and apply mitigation strategies accordingly. Before we dive into integration, let's look at a rough definition of the DevOps stages that are applicable for image scanning:

  • Build: When the image is built in the CI/CD pipeline
  • Deployment: When the image is about to be deployed in a Kubernetes cluster
  • Runtime: After the image is deployed to a Kubernetes cluster and the containers are up...