CUSTOMISED
Expert-led training for your team
Dismiss
Understanding How Kubernetes Works with Docker: A Comprehensive Guide with Code Examples

30 March 2023

Understanding How Kubernetes Works with Docker: A Comprehensive Guide with Code Examples

Introduction:

Kubernetes and Docker are two of the most popular technologies used for containerization and orchestration. In this comprehensive guide, we will cover everything you need to know about how Kubernetes works with Docker, including how to deploy Docker containers to Kubernetes, how Kubernetes manages Docker containers, and best practices for using Kubernetes with Docker. We will also provide code examples to illustrate the concepts covered in each section.

Section 1: Deploying Docker Containers to Kubernetes

The first step in using Kubernetes with Docker is to deploy Docker containers to Kubernetes. In this section, we will cover how to create Docker images, push them to a container registry, and deploy them to Kubernetes using Kubernetes YAML configuration files.

Code Example:

yaml

apiVersion: apps/v1

kind: Deployment

metadata:

  name: my-app

spec:

  replicas: 3

  selector:

    matchLabels:

      app: my-app

  template:

    metadata:

      labels:

        app: my-app

    spec:

      containers:

      - name: my-container

        image: my-registry/my-app:latest

        ports:

        - containerPort: 80

 

 

Section 2: Managing Docker Containers with Kubernetes

yaml

apiVersion: apps/v1

kind: Deployment

metadata:

  name: my-app

spec:

  replicas: 3

  selector:

    matchLabels:

      app: my-app

  template:

    metadata:

      labels:

        app: my-app

    spec:

      containers:

      - name: my-container

        image: my-registry/my-app:latest

        ports:

        - containerPort: 80

      readinessProbe:

        httpGet:

          path: /health

          port: 80

        initialDelaySeconds: 30

        periodSeconds: 10

Section 3: Best Practices for Using Kubernetes with Docker

As with any technology, there are best practices that can help you get the most out of using Kubernetes with Docker. In this section, we will cover some best practices for using Kubernetes with Docker, such as using Kubernetes YAML configuration files, using container registries, and monitoring container performance.

Code Example:

yaml

apiVersion: v1

kind: ConfigMap

metadata:

  name: my-config

data:

  db_name: mydb

  db_user: myuser

  db_password: mypassword

Section 4: Use Cases for Kubernetes with Docker

Let's explore some more use cases for Kubernetes with Docker:

Use Case 1: Deploying a Web Server

Nginx web server:anKubernetes with Docker can be used to deploy a web server, such as Apache or Nginx. Here's an example Kubernetes YAML configuration file for deploying

yaml

apiVersion: apps/v1

kind: Deployment

metadata:

  name: my-nginx

spec:

  replicas: 3

  selector:

    matchLabels:

      app: my-nginx

  template:

    metadata:

      labels:

        app: my-nginx

    spec:

      containers:

      - name: my-nginx

        image: nginx:latest

        ports:

        - containerPort: 80

Use Case 2: Deploying a Database

Kubernetes with Docker can also be used to deploy a database, such as MySQL or MongoDB. Here's an example Kubernetes YAML configuration file for deploying a MySQL database:

yaml

apiVersion: apps/v1

kind: StatefulSet

metadata:

  name: my-mysql

spec:

  replicas: 3

  selector:

    matchLabels:

      app: my-mysql

  serviceName: my-mysql

  template:

    metadata:

      labels:

        app: my-mysql

    spec:

      containers:

      - name: my-mysql

        image: mysql:latest

        ports:

        - containerPort: 3306

        env:

        - name: MYSQL_ROOT_PASSWORD

          valueFrom:

            secretKeyRef:

              name: my-mysql

 

 

Use Case 3: Deploying a Message Broker

Kubernetes with Docker can also be used to deploy a message broker, such as RabbitMQ or Apache Kafka. Here's an example Kubernetes YAML configuration file for deploying RabbitMQ:

 

 

yaml

apiVersion: apps/v1

kind: StatefulSet

metadata:

  name: my-rabbitmq

spec:

  replicas: 3

  selector:

    matchLabels:

      app: my-rabbitmq

  serviceName: my-rabbitmq

  template:

    metadata:

      labels:

        app: my-rabbitmq

    spec:

      containers:

      - name: my-rabbitmq

        image: rabbitmq:latest

        ports:

        - containerPort: 5672

        - containerPort: 15672

 

Conclusion:

Kubernetes with Docker is a powerful combination that allows developers to easily deploy and manage containerized applications. With the comprehensive guide and code examples provided in this article, you should have a good understanding of how Kubernetes works with Docker, how to deploy Docker containers to Kubernetes, and best practices for using Kubernetes with Docker. By mastering Kubernetes with Docker, you'll be able to deploy and manage your containerized applications with ease and flexibility, making it easier to scale and manage your applications.

We hope you found this guide on How Kubernetes Works with Docker insightful and valuable. You can learn more on JBI's Kubernetes Training Course and Kubernetes Beyond the Basics Training Course.

Go here if you would like to see the Kubernetes Official Documentation.

About the author: Craig Hartzel
Craig is a self-confessed geek who loves to play with and write about technology. Craig's especially interested in systems relating to e-commerce, automation, AI and Analytics.

CONTACT
+44 (0)20 8446 7555

[email protected]

SHARE

 

Copyright © 2023 JBI Training. All Rights Reserved.
JB International Training Ltd  -  Company Registration Number: 08458005
Registered Address: Wohl Enterprise Hub, 2B Redbourne Avenue, London, N3 2BS

Modern Slavery Statement & Corporate Policies | Terms & Conditions | Contact Us

POPULAR

Rust training course                                                                          React training course

Threat modelling training course   Python for data analysts training course

Power BI training course                                   Machine Learning training course

Spring Boot Microservices training course              Terraform training course

Kubernetes training course                                                            C++ training course

Power Automate training course                               Clean Code training course