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Docker for Developers

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

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789536058
Length 468 pages
Edition 1st Edition
Tools
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Authors (3):
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Richard Bullington-McGuire Richard Bullington-McGuire
Author Profile Icon Richard Bullington-McGuire
Richard Bullington-McGuire
Michael Schwartz Michael Schwartz
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Michael Schwartz
Andrew K. Dennis Andrew K. Dennis
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Andrew K. Dennis
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Toc

Table of Contents (21) Chapters Close

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 20. Other Books You May Enjoy

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...

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