Book Image

Learn Helm

By : Andrew Block, Austin Dewey
Book Image

Learn Helm

By: Andrew Block, Austin Dewey

Overview of this book

Containerization is currently known to be one of the best ways to implement DevOps. While Docker introduced containers and changed the DevOps era, Google developed an extensive container orchestration system, Kubernetes, which is now considered the frontrunner in container orchestration. With the help of this book, you’ll explore the efficiency of managing applications running on Kubernetes using Helm. Starting with a short introduction to Helm and how it can benefit the entire container environment, you’ll then delve into the architectural aspects, in addition to learning about Helm charts and its use cases. You’ll understand how to write Helm charts in order to automate application deployment on Kubernetes. Focused on providing enterprise-ready patterns relating to Helm and automation, the book covers best practices for application development, delivery, and lifecycle management with Helm. By the end of this Kubernetes book, you will have learned how to leverage Helm to develop an enterprise pattern for application delivery.
Table of Contents (15 chapters)
Section 1: Introduction and Setup
Section 2: Helm Chart Development
Section 3: Adanced Deployment Patterns
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Understanding the Guestbook application

In this chapter, you will create a Helm chart to deploy the Guestbook tutorial application provided by the Kubernetes community. This application is introduced in the Kubernetes documentation at the following page:

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 5.1: The Guestbook PHP frontend

To interact with this application, users can follow these next 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 a Redis database.

Redis is an in-memory, key-value data store that, in this chapter, will be clustered for data replication. The cluster will consist...