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Learn Docker in a Month of Lunches
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Learning Docker Has Never Been Easier
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How to Easily Modernize Older Applications With Docker?
Manning Introduces 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.I usually don't give good ratings but this is the best book I've read in a long time.
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
1.4.4 Remember the cleanup commands
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 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 Orchestration: 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
15.1 Endpoint options for the Docker API
15.2 Configuring Docker for secure remote access
15.3 Using Docker Contexts to work with remote engines
15.4 Adding Continuous Deployment to your CI pipeline
15.5 Understanding the access model for Docker
15.6 Lab
16 Building Docker images that run anywhere: Linux, Windows, Intel and Arm
16.1 Why multi-architecture images are important
16.2 Building multi-arch images from one or more Dockerfiles
16.3 Pushing multi-arch images to registries with manifests
16.4 Building multi-arch images with Docker buildx
16.5 Understanding where multi-arch images fit in your roadmap
16.6 Lab
Week 4: Getting Your Containers Ready for Production
17 Optimizing your Dockerfiles for size, speed and security
17.1 How you optimize Docker images
17.2 Choosing the right base images
17.3 Minimizing image layer count and layer size
17.4 Taking your multi-stage builds to the next level
17.5 Understanding why optimization counts
17.6 Lab
18 Application configuration management in containers
18.1 A multi-tiered approach to app configuration
18.2 Packaging config for every environment
18.3 Loading configuration from the runtime
18.4 Configuring legacy apps in the same way as new apps
18.5 Understanding why a flexible configuration model pays off
18.6 Lab
19 Writing and managing application logs with Docker
19.2 Welcome to stderr and stdout!
19.2 Relaying logs from other sinks to stdout
19.3 Collecting and forwarding container logs
19.4 Managing your log output and collection
19.5 Understanding the container logging model
19.6 Lab
20 Controlling HTTP traffic to containers with a reverse proxy
20.1 What is a reverse proxy?
20.2 Handling routing and SSL in the reverse proxy
20.3 Improving performance and reliability with the proxy
20.4 Using a Cloud-Native Reverse Proxy
20.5 Understanding the patterns a reverse proxy enables
20.6 Lab
21 Asynchronous communication with a message queue
21.1 What is asynchronous messaging?
21.2 Using a cloud-native message queue
21.3 Consuming and handling messages
21.4 Adding new features with message handlers
21.5 Understanding async messaging patterns
21.6 Lab
22 Never the end
22.1 Run your own proof-of-concept
22.2 Make a case for Docker in your organization
22.3 Plan the path to production
22.4 Meet the Docker community
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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