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The Ultimate Docker Container Book

You're reading from   The Ultimate Docker Container Book Build, test, ship, and run containers with Docker and Kubernetes

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781804613986
Length 626 pages
Edition 3rd Edition
Tools
Concepts
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Author (1):
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Dr. Gabriel N. Schenker Dr. Gabriel N. Schenker
Author Profile Icon Dr. Gabriel N. Schenker
Dr. Gabriel N. Schenker
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Toc

Table of Contents (26) Chapters Close

Preface 1. Part 1:Introduction
2. Chapter 1: What Are Containers and Why Should I Use Them? FREE CHAPTER 3. Chapter 2: Setting Up a Working Environment 4. Part 2:Containerization Fundamentals
5. Chapter 3: Mastering Containers 6. Chapter 4: Creating and Managing Container Images 7. Chapter 5: Data Volumes and Configuration 8. Chapter 6: Debugging Code Running in Containers 9. Chapter 7: Testing Applications Running in Containers 10. Chapter 8: Increasing Productivity with Docker Tips and Tricks 11. Part 3:Orchestration Fundamentals
12. Chapter 9: Learning about Distributed Application Architecture 13. Chapter 10: Using Single-Host Networking 14. Chapter 11: Managing Containers with Docker Compose 15. Chapter 12: Shipping Logs and Monitoring Containers 16. Chapter 13: Introducing Container Orchestration 17. Chapter 14: Introducing Docker Swarm 18. Chapter 15: Deploying and Running a Distributed Application on Docker Swarm 19. Part 4:Docker, Kubernetes, and the Cloud
20. Chapter 16: Introducing Kubernetes 21. Chapter 17: Deploying, Updating, and Securing an Application with Kubernetes 22. Chapter 18: Running a Containerized Application in the Cloud 23. Chapter 19: Monitoring and Troubleshooting an Application Running in Production 24. Index 25. Other Books You May Enjoy

Summary

In this chapter, we learned how to run and debug Node.js, Python, Java, and .NET code running inside a container. We started by mounting the source code from the host into the container to avoid the container image being rebuilt each time the code changes. Then, we smoothed out the development process further by enabling automatic application restarts inside the container upon code changes. Next, we learned how to configure VS Code to enable full interactive code debugging when code is running inside a container.

Finally, we learned how we can instrument our applications so that they generate logging information that can help us do root cause analysis on failures of misbehaving applications or application services running in production. We started by instrumenting our code using a logging library. Then, we used the Open Tracing standard for distributed tracing and the Jaeger tool to instrument a Java and Spring Boot application and gain valuable insight into the application...

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