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Overview
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
The idea behind Docker is simple: package applications in lightweight virtual containers that can be easily installed. The results of this simple idea are huge! Docker makes it possible to manage applications without creating custom infrastructures. Free, open source, and battle-tested, Docker has quickly become must-know technology for developers and administrators.
About the book
Learn Docker in a Month of Lunches introduces Docker concepts through a series of brief hands-on lessons. Following a learning path perfected by author Elton Stoneman, you’ll run containers by chapter 2 and package applications by chapter 3. Each lesson teaches a practical skill you can practice on Windows, macOS, and Linux systems. By the end of the month you’ll know how to containerize and run any kind of application with Docker.
What's inside
Package applications to run in containers
Put containers into production
Build optimized Docker images
Run containerized apps at scale
About the reader
For IT professionals. No previous Docker experience required.
About the author
Elton Stoneman is a consultant, a former architect at Docker, a Microsoft MVP, and a Pluralsight author.
Table of Contents
PART 1 - UNDERSTANDING DOCKER CONTAINERS AND IMAGES
1. Before you begin
2. Understanding Docker and running Hello World
3. Building your own Docker images
4. Packaging applications from source code into Docker Images
5. Sharing images with Docker Hub and other registries
6. Using Docker volumes for persistent storage
PART 2 - RUNNING DISTRIBUTED APPLICATIONS IN CONTAINERS
7. Running multi-container apps with Docker Compose
8. Supporting reliability with health checks and dependency checks
9. Adding observability with containerized monitoring
10. Running multiple environments with Docker Compose
11. Building and testing applications with Docker and Docker Compose
PART 3 - RUNNING AT SCALE WITH A CONTAINER ORCHESTRATOR
12. Understanding orchestration: Docker Swarm and Kubernetes
13. Deploying distributed applications as stacks in Docker Swarm
14. Automating releases with upgrades and rollbacks
15. Configuring Docker for secure remote access and CI/CD
16. Building Docker images that run anywhere: Linux, Windows, Intel, and Arm
PART 4 - GETTING YOUR CONTAINERS READY FOR PRODUCTION
17. Optimizing your Docker images for size, speed, and security
18. Application configuration management in containers
19. Writing and managing application logs with Docker
20. Controlling HTTP traffic to containers with a reverse proxy
21. Asynchronous communication with a message queue
22. Never the end
Product Details
| ISBN-13: | 9781638350675 |
|---|---|
| Publisher: | Manning |
| Publication date: | 06/13/2020 |
| Sold by: | SIMON & SCHUSTER |
| Format: | eBook |
| Pages: | 464 |
| File size: | 21 MB |
| Note: | This product may take a few minutes to download. |
About the Author
Elton Stoneman is a 10-time Microsoft MVP and a Docker Captain. After several years working for Docker, Elton now offers consulting services for organizations at every stage in their container journey. He is a regular speaker and workshop instructor at conferences and the author of Learn Docker in a Month of Lunches.
Table of Contents
Preface xvii
Acknowledgments xviii
About this book xix
About the author xxiii
Part 1 Understanding Docker Containers and Images 1
1 Before you begin 3
1.1 Why containers will take over the world 4
Migrating apps to the cloud 4
Modernizing legacy apps 6
Building new cloud-native apps 6
Technical innovation: Serverless and more 8
Digital transformation with DevOps 10
1.2 Is this book for you? 10
1.3 Creating your lab environment 11
Installing Docker 11
Verifying your Docker setup 12
Downloading the source code for the book 13
Remembering the cleanup commands 13
1.4 Being immediately effective 14
2 Understanding Docker and running Hello World 15
2.1 Running Hello World in a container 15
2.2 So what is a container? 18
2.3 Connecting to a container like a remote computer 20
2.4 Hosting a website in a container 23
2.5 Understanding how Docker runs containers 27
2.6 Lab: Exploring the container filesystem 29
3 Building your own Docker images 31
3.1 Using a container image from Docker Hub 31
3.2 Writing your first Dockerfile 35
3.3 Building your own container image 37
3.4 Understanding Docker images and image layers 39
3.5 Optimizing Dockerfiles to use the image layer cache 42
3.6 Lab 44
4 Packaging applications from source code into Docker Images 45
4.1 Who needs a build server when you have a Dockerfile? 45
4.2 App walkthrough: Java source code 49
4.3 App walkthrough; Node.js source code 53
4.4 App walkthrough: Go source code 56
4.5 Understanding multi-stage Dockerfiles 59
4.6 Lab 59
7 Sharing images with Docker Hub and other registries 61
5.1 Working with registries, repositories, and image tags 61
5.2 Pushing your own images to Docker Hub 63
5.3 Running and using your own Docker registry 66
5.4 Using image tags effectively 70
5.5 Turning official images into golden images 72
5.6 Lab 74
6 Using Docker volumes for persistent storage 75
6.1 Why data in containers is not permanent 75
6.2 Running containers with Docker volumes 80
6.3 Running containers with filesystem mounts 85
6.4 Limitations of filesystem mounts 88
6.5 Understanding how the container filesystem is built 92
6.6 Lab 93
Part 2 Running Distributed Applications in Containers 95
7 Running multi-container apps with Docker Compose 97
7.1 The anatomy of a Docker Compose file 97
7.2 Running a multi-container application with Compose 101
7.3 How Docker plugs containers together 107
7.4 Application configuration in Docker Compose 110
7.5 Understanding the problem Docker Compose solves 114
7.6 Lab 116
8 Supporting reliability with health checks and dependency checks 117
8.1 Building health checks into Docker images 117
8.2 Starting containers with dependency checks 123
8.3 Writing custom utilities for application check logic 126
8.4 Defining health checks and dependency checks in Docker Compose 130
8.5 Understanding how checks power self healing apps 134
8.6 Lab 135
9 Adding observability with containerized monitoring 137
9.1 The monitoring stack for containerized applications 137
9.2 Exposing metrics from your application 143
9.3 Running a Prometheus container to collect metrics 147
9.4 Running a Grafana container to visualize metrics 152
9.5 Understanding the levels of observability 159
9.6 Lab 159
10 Running multiple environments with Docker Compose 161
10.1 Deploying many applications with Docker Compose 161
10.2 Using Docker Compose override files 165
10.3 Injecting configuration with environment variables and secrets 172
10.4 Reducing duplication with extension fields 177
10.5 Understanding the configuration workflow with Docker 180
10.6 Lab 181
11 Building and testing applications with Docker and Docker Compose 183
11.1 How the CI process works with Docker 183
11.2 Spinning up build infrastructure with Docker 185
11.3 Capturing build settings with Docker Compose 194
11.4 Writing CI jobs with no dependencies except Docker 198
11.5 Understanding containers in the CI process 202
11.6 Lab 203
Part 3 Running at Scale with a Container Orchestrator 205
12 Understanding orchestration: Docker Swarm and Kubemetes 207
12.1 What is a container orchestrator? 207
12.2 Setting up a Docker Swarm cluster 210
12.3 Running applications as Docker Swarm services 213
12.4 Managing network traffic in the cluster 220
12.5 Understanding the choice between Docker Swarm and Kubernetes 226
12.6 Lab 229
13 Deploying distributed applications as stacks in Docker Swarm 230
13.1 Using Docker Compose for production deployments 231
13.2 Managing app configuration with config objects 235
13.3 Managing confidential settings with secrets 240
13.4 Storing data with volumes in the Swarm 244
13.5 Understanding how the cluster manages stacks 248
13.6 Lab 249
14 Automating releases with upgrades and rollbacks 250
14.1 The application upgrade process with Docker 250
14.2 Configuring production rollouts with Compose 255
14.3 Configuring service rollbacks 259
14.4 Managing downtime for your cluster 264
14.5 Understanding high availability in Swarm clusters 268
14.6 Lab 269
15 Configuring Docker for secure remote access and CI/CD 271
15.1 Endpoint options for the Docker API 272
15.2 Configuring Docker for secure remote access 276
15.3 Using Docker Contexts to work with remote engines 284
15.4 Adding continuous deployment to your CI pipeline 287
15.5 Understanding the access model for Docker 293
15.6 Lab 294
16 Building Docker images that run anywhere: Linux, Windows, Intel, and Arm 295
16.1 Why multi-architecture images are important 295
16.2 Building multi-arch images from one or more Dockerfiles 299
16.3 Pushing multi-arch images to registries with manifests 304
16.4 Building multi-arch images with Docker Buildx 309
16.5 Understanding where multi-arch images fit in your roadmap 314
16.6 Lab 315
Part 1 Getting your Containers Ready for Production 317
17 Optimizing your Docker images for size, speed, and security 319
17.1 Howyou optimize Docker images 319
17.2 Choosing the right base images 324
17.3 Minimizing image layer count and layer size 330
17.4 Taking your multi-stage builds to the next level 333
17.5 Understanding why optimization counts 337
17.6 Lab 337
18 Application configuration management in containers 339
18.1 A multi-tiered approach to app configuration 339
18.2 Packaging config for every environment 343
18.3 Loading configuration from the runtime 347
18.4 Configuring legacy apps in the same way as new apps 351
18.5 Understanding why a flexible configuration model pays off 357
18.6 Lab 358
19 Writing and managing application logs with Docker 359
19.1 Welcome to stderr and stdout! 359
19.2 Relaying logs from other sinks to stdout 364
19.3 Collecting and forwarding container logs 368
19.4 Managing your log output and collection 375
19.5 Understanding the container logging model 379
19.6 Lab 380
20 Controlling HTTP traffic to containers with a reverse proxy 381
20.1 What is a reverse proxy? 381
20.2 Handling routing and SSL in the reverse proxy 387
20.3 Improving performance and reliability with the proxy 392
20.4 Using a cloud-native reverse proxy 396
20.5 Understanding the patterns a reverse proxy enables 403
20.6 Lab 405
21 Asynchronous communication with a message queue 407
21.1 What is asynchronous messaging? 407
21.2 Using a cloud-native message queue 412
21.3 Consuming and handling messages 416
21.4 Adding new features with message handlers 419
21.5 Understanding async messaging patterns 422
21.6 Lab 424
22 Never the end 425
22.1 Run your own proof-of-concept 425
22.2 Make a case for Docker in your organization 426
22.3 Plan the path to production 427
22.4 Meet the Docker community 427
Index 429