You're reading from Docker for Developers Develop and run your application with Docker containers using DevOps tools for continuous delivery

Product type Paperback

Published in Sep 2020

Publisher Packt

ISBN-13 9781789536058

Length 468 pages

Edition 1st Edition

Tools

Docker

Concepts

Containerization

Authors (3):

Richard Bullington-McGuire

Michael Schwartz

Andrew K. Dennis

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Table of Contents (21) Chapters

Preface

1. Section 1: An Introduction to Docker – Containers and Local Development

2. Chapter 1: Introduction to Docker FREE CHAPTER

3. Chapter 2: Using VirtualBox and Docker Containers for Development

4. Chapter 3: Sharing Containers Using Docker Hub

5. Chapter 4: Composing Systems Using Containers

6. Section 2: Running Docker in Production

7. Chapter 5: Alternatives for Deploying and Running Containers in Production

8. Chapter 6: Deploying Applications with Docker Compose

9. Chapter 7: Continuous Deployment with Jenkins

10. Chapter 8: Deploying Docker Apps to Kubernetes

11. Chapter 9: Cloud-Native Continuous Deployment Using Spinnaker

12. Chapter 10: Monitoring Docker Using Prometheus, Grafana, and Jaeger

13. Chapter 11: Scaling and Load Testing Docker Applications

14. Section 3: Docker Security – Securing Your Containers

15. Chapter 12: Introduction to Container Security

16. Chapter 13: Docker Security Fundamentals and Best Practices

17. Chapter 14: Advanced Docker Security – Secrets, Secret Commands, Tagging, and Labels

18. Chapter 15: Scanning, Monitoring, and Using Third-Party Tools

19. Chapter 16: Conclusion – End of the Road, but not the Journey

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Chapter 10: Monitoring Docker Using Prometheus, Grafana, and Jaeger

In order to understand how an application behaves when it runs in production, developers and system operators rely on logging, monitoring, and alerting systems. These systems can both give insight into whether an application and its environment are operating normally and provide clues to follow if troubleshooting is needed. As systems become more complex, the need for deeper insights into both applications and their support software also grows. Systems that allow for deep inspection of all these concerns without having to alter the code that runs on the system can be said to have good observability characteristics.

In this chapter, you will learn how to instrument your application and its runtime environment to improve the observability of the entire system. You will learn about many aspects of logging, monitoring, and alerting. Specifically, you will learn how to view, query, and store logs from the Kubernetes...