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Managing Kubernetes Resources Using Helm

Managing Kubernetes Resources Using Helm - Second Edition

By : Andrew Block, Austin Dewey
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Managing Kubernetes Resources Using Helm

Managing Kubernetes Resources Using Helm

5 (3)
By: Andrew Block, Austin Dewey

Overview of this book

Containerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer’s skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm. Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you’ll delve into the primitives of Helm charts and their architecture and use cases. From there, you’ll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security. By the end of this book, you’ll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes.
Table of Contents (18 chapters)
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1
Part 1: Introduction and Setup
5
Part 2: Helm Chart Development
12
Part 3: Advanced Deployment Patterns

Helm template validation

When working with Kubernetes and Helm, input validation is automatically performed by the Kubernetes API server when a new resource is created. This means that if an invalid resource is created by Helm, an error message will be returned by the API server, resulting in a failed installation. Although Kubernetes performs input validation, there may still be cases in which chart developers will want to perform validation before the resources reach the API server, such as to return a simple error message or to limit the range of possibilities to the user.

In Helm, input validation refers to validating user-provided values to ensure that users have provided a proper set of values. You can perform this validation in three different ways (or a combination of these three), as follows:

  • Using the fail function
  • Using the required function
  • Using a values.schema.json file

Let’s begin exploring input validation by first looking at the fail...

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