Book Image

Managing Kubernetes Resources Using Helm - Second Edition

By : Andrew Block, Austin Dewey
Book Image

Managing Kubernetes Resources Using Helm - Second Edition

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)
Part 1: Introduction and Setup
Part 2: Helm Chart Development
Part 3: Advanced Deployment Patterns

Understanding the Guestbook application

Since the second part of this book will be centered around developing a Helm chart to deploy the Guestbook application, let’s first understand what this application does and what its architecture looks like.

The Guestbook application is a simple PHP: Hypertext Preprocessor (PHP) frontend designed to persist messages to a Redis backend. The frontend consists of a dialog box and a Submit button, as illustrated in the following screenshot:

Figure 4.1 – The Guestbook PHP frontend

To interact with this application, users can follow these steps:

  1. Type a message in the Messages dialog box.
  2. Click the Submit button.
  3. When the Submit button is clicked, the message will be saved to the Redis database and displayed at the bottom of the page, as shown in the following screenshot:

Figure 4.2 – The Guestbook frontend after a new message has been submitted

Redis is an...