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

The rise of Docker and the trend of microservices

Before we start looking into Kubernetes, it's important to understand the growth of microservices and containerization. With the evolution of a monolithic application, developers face inevitable problems as the applications evolve:

  • Scaling: A monolith application is difficult to scale. It's been proven that the proper way to solve a scalability problem is via a distributed method.
  • Operational cost: The operation cost increases with the complexity of a monolith application. Updates and maintenance require careful analysis and enough testing before deployment. This is the opposite of scalability; you can't scale down a monolithic application easily as the minimum resource requirement is high.
  • Longer release cycle: The maintenance and development barrier is significantly high for monolith applications. For developers, when there is a bug, it takes a lot of time to identify the root cause in a complex and...