Book Image

End-to-End Automation with Kubernetes and Crossplane

By : Arun Ramakani
Book Image

End-to-End Automation with Kubernetes and Crossplane

By: Arun Ramakani

Overview of this book

In the last few years, countless organizations have taken advantage of the disruptive application deployment operating model provided by Kubernetes. With Crossplane, the same benefits are coming to the world of infrastructure provisioning and management. The limitations of Infrastructure as Code with respect to drift management, role-based access control, team collaboration, and weak contract make people move towards a control-plane-based infrastructure automation, but setting it up requires a lot of know-how and effort. This book will cover a detailed journey to building a control-plane-based infrastructure automation platform with Kubernetes and Crossplane. The cloud-native landscape has an overwhelming list of configuration management tools that can make it difficult to analyze and choose. This book will guide cloud-native practitioners to select the right tools for Kubernetes configuration management that best suit the use case. You'll learn about configuration management with hands-on modules built on popular configuration management tools such as Helm, Kustomize, Argo, and KubeVela. The hands-on examples will be patterns that one can directly use in their work. By the end of this book, you'll be well-versed with building a modern infrastructure automation platform to unify application and infrastructure automation.
Table of Contents (16 chapters)
1
Part 1: The Kubernetes Disruption
4
Part 2: Building a Modern Infrastructure Platform
10
Part 3:Configuration Management Tools and Recipes

Chapter 6: More Crossplane Patterns

Following the previous chapter, we will continue to discover more Crossplane patterns that are key to building a state-of-the-art infrastructure automation platform. We will cover different topics, such as managing dependencies between resources, propagating secrets, using the Crossplane Helm provider, trade-off points in defining the XR API boundary, and monitoring the Crossplane control plane using Prometheus. Throughout the chapter, we will use examples with a hands-on journey to understand these concepts. We have been using GCP in all the previous chapters. In this chapter, we will use both GCP and AWS to learn Crossplane. Finally, we will learn more debugging skills, which are vital for day-to-day platform development and operations.

The following are the topics covered in the chapter:

  • AWS provider setup
  • Managing dependencies
  • Secret propagation hands-on
  • Helm provider hands-on
  • Defining API boundaries
  • Alerts and...