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Learn Docker in a Month of Lunches
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Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you’ll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There’s no excessive theory or niche-use cases-- just a quick-and-easy guide to the essentials of Docker you’ll use every day.Fabulous material. I got more information and examples in this one book than at least two others I've looked at.
Table of Contents takes you straight to the bookdetailed table of contents
Week 1: Understanding Docker Containers and Images
1 Before You Begin
1.1 Why containers will take over the world
1.1.1 Migrating apps to the cloud
1.1.2 Modernizing legacy apps
1.1.3 Building New Cloud Native Apps
1.1.4 Technical Innovation — Serverless And More
1.1.5 Digital transformation with DevOps
1.2 Is this book for you?
1.3 How to use this book
1.3.1 Your learning journey
1.3.2 Try-it-nows
1.3.3 Hands-on labs
1.3.4 Additional resources
1.4 Creating your lab environment
1.4.1 Install Docker
1.4.2 Verify your Docker setup
1.4.3 Download the source code for the book
1.5 Being immediately effective
2 Understanding Docker and running Hello World
2.1 Running Hello World in a container
2.2 So what is a container?
2.3 Connecting to a container like a remote computer
2.4 Hosting a website in a container
2.5 Understanding how Docker runs containers
2.6 Lab: exploring the container filesystem
3 Building your own Docker images
3.1 Using a container image from Docker Hub
3.2 Writing your first Dockerfile
3.3 Building your own container image
3.4 Understanding Docker images and image layers
3.5 Optimizing Dockerfiles to use the image layer cache
3.6 Lab
4 Packaging applications from source code into Docker Images
4.1 Who needs a build server when you have a Dockerfile?
4.2 App walkthrough — Java source code
4.3 App walkthrough — Node.js source code
4.4 App walkthrough — Go source code
4.5 Understanding multi-stage Dockerfiles
4.6 Lab
5 Sharing Images with Docker Hub and Other Registries
5.1 Working with registries, repositories and image tags
5.2 Pushing your own images to Docker Hub
5.3 Running and using your own Docker registry
5.4 Using image tags effectively
5.5 Turning official images into golden images
5.6 Lab
6 Using Docker Volumes for Persistent Storage
6.1 Why data in containers is not permanent
6.2 Running containers with Docker volumes
6.3 Running containers with filesystem mounts
6.4 Limitations in file system mounts
6.5 Understanding how the container filesystem is built
6.6 Lab
Week 2: Running Distributed Applications in Containers
7 Running multi-container apps with Docker Compose
7.1 The anatomy of a Docker Compose file
7.2 Running a multi-container application with Compose
7.3 How Docker plugs containers together
7.4 Application configuration in Docker Compose
7.5 Understanding the problem Docker Compose solves
7.6 Lab
8 Supporting reliability with health checks and dependency checks
8.1 Building health checks into Docker images
8.2 Starting containers with dependency checks
8.3 Writing custom utilities for application check logic
8.4 Defining health checks and dependency checks in Docker Compose
8.5 Understanding how checks power self-healing apps
8.6 Lab
9 Adding observability with containerized monitoring
9.1 The monitoring stack for containerized applications
9.2 Exposing metrics from your application
9.3 Running a Prometheus container to collect metrics
9.4 Running a Grafana container to visualize metrics
9.5 Understanding the levels of observability
9.6 Lab
10 Running multiple environments with Docker Compose
10.1 Deploying many applications with Docker Compose
10.2 Using Docker Compose override files
10.3 Injecting configuration with environment variables and secrets
10.4 Reducing duplication with extension fields
10.5 Understanding the configuration workflow with Docker
10.6 Lab
11 Building and testing distributed applications with Docker and Docker Compose
11.1 How the CI process works with Docker
11.2 Spinning up build infrastructure with Docker
11.3 Capturing build settings with Docker Compose
11.4 Writing CI jobs with no dependencies except Docker
11.5 Understanding containers in the CI process
11.6 Lab
Week 3: Running at Scale with a Container Orchestrator
12 Understanding Docker Swarm and Kubernetes
12.1 What is a container orchestrator?
12.2 Setting up a Docker Swarm cluster
12.3 Running applications as Docker Swarm services
12.4 Managing network traffic in the cluster
12.5 Understanding the choice between Docker Swarm and Kubernetes
12.6 Lab
13 Deploying distributed applications as stacks in Docker Swarm
13.1 Using Docker Compose for production deployments
13.2 Managing app configuration with config objects
13.3 Managing confidential settings with secrets
13.4 Storing data with volumes in the Swarm
13.5 Understanding how the cluster manages stacks
13.6 Lab
14 Automating releases with upgrades and rollbacks
14.1 The application upgrade process with Docker
14.2 Configuring production rollouts with Compose
14.3 Configuring service rollbacks
14.4 Managing downtime for your cluster
14.5 Understanding high availability in Swarm clusters
14.6 Lab
15 Configuring Docker for secure remote access and CI/CD
16 Building Docker images which run anywhere: Linux, Windows, Intel and Arm
Week 4: Getting Your Containers Ready for Production
17 Optimizing your Dockerfiles for size, speed and security
18 Reading app configuration from the Docker platform
19 Writing application logs to the Docker platform
20 Routing front end HTTP traffic with a reverse proxy container
21 Asynchronous back-end processing with a message queue container
22 Never the end
About the Technology
Docker is a simple idea that has revolutionized the software industry. You build small virtual environments, called containers, that contain an application and all its dependencies. Because a container provides everything your application needs to run, they’re portable, fast, and reliable in any cloud or on-prem platform. Docker smooths major modern IT challenges, including cloud migration, legacy app modernization, clean installs, continuous deployment, and much more.About the book
Learn Docker in a Month of Lunches is a developer-centric tutorial to using Docker in Linux, Windows, and Mac environments. You’ll learn essential Docker techniques, including how to run your own and third-party apps in containers, use a Docker registry to share container images, and confidently deploy containerized apps to production. When you’re done, you’ll be able to use Docker with any kind of application, from legacy monoliths to greenfield microservices.What's inside
- How Docker is changing development and operations
- Packaging applications to run in containers
- Putting containers into production
- Building optimized Docker images
- Running containerized apps at scale
- Implementing Continuous Integration and Continuous Delivery with Docker
About the author
Elton Stoneman is an architect at Docker, a Microsoft MVP and a Pluralsight author. He has used Docker since the earliest releases and helped organizations at every stage in their container journey. He is a regular speaker and workshop instructor at conferences, and distils many years of using and teaching Docker into this book.
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