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)
1
Section 1: Introduction and Setup
5
Section 2: Helm Chart Development
9
Section 3: Adanced Deployment Patterns
14
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Approaches in resource management

In order to deploy an application on Kubernetes, we need to interact with the Kubernetes API to create resources. kubectl is the tool we use to talk to the Kubernetes API. kubectl is a command-line interface (CLI) tool used to abstract the complexity of the Kubernetes API from end users, allowing them to more efficiently work on the platform.

Let's discuss how kubectl can be used to manage Kubernetes resources.

Imperative and declarative configuration

The kubectl tool provides a series of subcommands to create and modify resources in an imperative fashion. The following is a small list of these commands:

  • create
  • describe
  • edit
  • delete

The kubectl commands follow a common format:

kubectl <verb> <noun> <arguments>

The verb refers to one of the kubectl subcommands and the noun refers to a particular Kubernetes resource. For example, the following command can be run to create a Deployment:

kubectl create deployment my-deployment --image=busybox

This would instruct kubectl to talk to the Deployment API and create a new Deployment called my-deployment, using the busybox image from Docker Hub.

You could use kubectl to get more information on the Deployment that was created by using the describe subcommand:

kubectl describe deployment my-deployment

This command would retrieve information about the Deployment and format the result in a readable format that allows developers to inspect the live my-deployment Deployment on Kubernetes.

If a change to the Deployment was desired, a developer could use the edit subcommand to modify it in place:

kubectl edit deployment my-deployment

This command would open a text editor, allowing you to modify the Deployment.

When it comes to deleting the resource, the user can run the delete subcommand:

kubectl delete deployment my-deployment

This would instruct the API to delete the Deployment called my-deployment.

Kubernetes resources, once created, exist in the cluster as JSON resource files, which can be exported as YAML files for greater human readability. An example resource in YAML format can be seen here:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: busybox
spec:
  replicas: 1
  selector:
    matchLabels:
      app: busybox
  template:
    metadata:
      labels:
        app: busybox
    spec:
      containers:
        - name: main
          image: busybox
          args:
            - sleep
            - infinity

The preceding YAML format presents a very basic use case. It deploys the busybox image from Docker Hub and runs the sleep command indefinitely to keep the Pod running.

While it may be easier to create resources imperatively using the kubectl subcommands we have just described, Kubernetes allows you to directly manage the YAML resources in a declarative fashion to gain more control over resource creation. The kubectl subcommands do not always let you configure all the possible resource options, but creating the YAML files directly allows you to more flexibly create resources and fill in the gaps that the kubectl subcommands may contain.

When creating resources declaratively, users first write out the resource they want to create in YAML format. Next, they use the kubectl tool to apply the resource against the Kubernetes API. While in imperative configuration developers use kubectl subcommands to manage resources, declarative configuration relies primarily on only one subcommand—apply.

Declarative configuration often takes the following form:

kubectl apply -f my-deployment.yaml

This command gives Kubernetes a YAML resource that contains a resource specification, although the JSON format can be used as well. Kubernetes infers the action to perform on resources (create or modify) based on whether or not they exist.

An application may be configured declaratively by following these steps:

  1. First, the user can create a file called deployment.yaml and provide a YAML-formatted specification for the deployment. We will use the same example as before:
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: busybox
    spec:
      replicas: 1
      selector:
        matchLabels:
          app: busybox
      template:
        metadata:
          labels:
            app: busybox
        spec:
          containers:
            - name: main
              image: busybox
              args:
                - sleep
                - infinity
  2. The Deployment can then be created with the following command:
    kubectl apply -f deployment.yaml

    Upon running this command, Kubernetes will attempt to create the Deployment in the way you specified.

  3. If you wanted to make a change to the Deployment, say by changing the number of replicas to 2, you would first modify the deployment.yaml file:
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: busybox
    spec:
      replicas: 2
      selector:
        matchLabels:
          app: busybox
      template:
        metadata:
          labels:
            app: busybox
        spec:
          containers:
            - name: main
              image: busybox
              args:
                - sleep
                - infinity
  4. You would then apply the change with kubectl apply:
    kubectl apply -f deployment.yaml

    After running that command, Kubernetes would apply the provided Deployment declaration over the previously applied deployment. At this point, the application would scale up from a replica value of 1 to 2.

  5. When it comes to deleting an application, the Kubernetes documentation actually recommends doing so in an imperative manner; that is, using the delete subcommand instead of apply:
    kubectl delete -f deployment.yaml
  6. The delete subcommand can be made more declarative by passing in the -f flag and a filename. This gives kubectl the name of the resource to delete that is declared in a specific file and it allows the developers to continue managing resources with declarative YAML files.

With an understanding of how Kubernetes resources are created, let's now discuss some of the challenges involved in resource configuration.