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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Data provenance and integrity

When working with any kind of data, there are two often-overlooked questions that should be considered:

  • Does the data come from a reliable source or from the source that you expected it to?
  • Does the data contain all of the contents that you expected it to?

The first question refers to the topic of data provenance. Data provenance is about determining where data originated from.

The second question refers to the topic of data integrity. Data integrity is about determining whether the contents you received from a remote location represent what you expected to receive and can help determine whether the data was tampered with as it was sent through the wire. Both data provenance and data integrity can be verified using a concept called digital signatures. An author can create a unique signature based on cryptography to sign data and the consumer of that data can use cryptographic tools to verify the authenticity of that signature.