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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

The basics of a Helm hook

A hook executes as a one-time action at a designated point in time during the life span of a release. A hook is implemented as a Kubernetes resource and, more specifically, within a container. While the majority of workloads within Kubernetes are designed to be long-living processes, such as an application serving API requests, hooks are made up of a single task or set of tasks that return 0 to indicate success or non-0 to indicate a failure.

The options that are typically used in a Kubernetes environment for creating short-lived tasks are a bare pod or a job. A bare pod is a pod that runs until completion and then terminates but will not be rescheduled if the underlying node fails. A bare pod differentiates from a standard pod by toggling the restartPolicy property. By default, this field is configured as Always, meaning that the pod will be restarted if it completes (either due to success or failure). Even though there are use cases for running bare pods...

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