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

Understanding the Crossplane architecture

From what we know so far, Crossplane is nothing but a set of Kubernetes custom controllers and CRDs representing external infrastructure resources. If you take a closer look, Crossplane is much more than a combination of CRDs and custom controllers. Crossplane has four key components. The components are as follows:

  • Managed resources
  • Providers
  • Composite resources
  • The Crossplane core

Managed resources

A Managed Resource (MR) connects a CRD and respective custom controller to represent a single external infrastructure resource. MRs are in a one-to-one mapping with infrastructure resources. For example, CloudSQLInstance is an MR representing Google Cloud SQL. The following diagram depicts the MR mapping for Amazon RDS and Google Cloud Storage:

Figure 3.1 – MR mapping

The Crossplane Resource Model (XRM) is the open standard used when developing an MR. The XRM is an opinionated extension...