Kubernetes has surged in popularity in recent years. Several Kubernetes resources, such as pods, services, deployments, and replica sets, must be defined and managed when deploying an application on Kubernetes. Each of these necessitates the creation of a set of YAML manifest files. Maintaining multiple manifest files for each of these resources becomes problematic in the context of complicated application deployment. Furthermore, generating manifest files and supplying configuration options externally might be critical in allowing deployments to be customized. Other essential considerations include dependency management and version control.
This is where Helm comes to the rescue.
Helm is a Kubernetes package manager similar to NPM or YARN. It’s not only a Package Manager, though; it’s also a Kubernetes Deployment Management. To put it another way, instead of needing to declare numerous Kubernetes resources to deploy an application, Helm allows you to simply execute a few commands in the terminal and press enter, and you’re done!
Helm is crucial in automating the process of installing, configuring, and upgrading complicated Kubernetes applications in this case. Helm employs a chart-based packing system. A chart is a group of files that explain a set of Kubernetes resources that are connected.
Practice! Practice! Practice!
Lectures alone won’t help, in this video, you will learn from various demos shown in lectures and hands-on labs.
You will be given a challenge to solve using the Helm skills you have learned.
Our labs can be accessed right in your browser without having to set up any lab environment yourself. We validate your work and give you feedback instantly.
What you will learn:
In this course, you will learn about the following:
- What is Helm
- Installation and configuration of Helm
- Helm2 vs Helm3
- Helm Architecture
- All about Helm charts
- Lifecycle management with Helm
- Functions
- Pipelines
- Conditionals
- With Blocks
- Ranges
- Named Templates
- Chart Hooks
- Packaging and Signing Charts
What are the prerequisites:
- Basic Kubernetes knowledge is required.
- YAML knowledge is required.
