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Docker for Developers

Docker for Developers

By : Richard Bullington-McGuire, Andrew K. Dennis, Michael Schwartz
4.2 (11)
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Docker for Developers

Docker for Developers

4.2 (11)
By: Richard Bullington-McGuire, Andrew K. Dennis, Michael Schwartz

Overview of this book

Docker is the de facto standard for containerizing apps, and with an increasing number of software projects migrating to containers, it is crucial for engineers and DevOps teams to understand how to build, deploy, and secure Docker environments effectively. Docker for Developers will help you understand Docker containers from scratch while taking you through best practices and showing you how to address security concerns. Starting with an introduction to Docker, you’ll learn how to use containers and VirtualBox for development. You’ll explore how containers work and develop projects within them after you’ve explored different ways to deploy and run containers. The book will also show you how to use Docker containers in production in both single-host set-ups and in clusters and deploy them using Jenkins, Kubernetes, and Spinnaker. As you advance, you’ll get to grips with monitoring, securing, and scaling Docker using tools such as Prometheus and Grafana. Later, you’ll be able to deploy Docker containers to a variety of environments, including the cloud-native Amazon Elastic Kubernetes Service (Amazon EKS), before finally delving into Docker security concepts and best practices. By the end of the Docker book, you’ll be able to not only work in a container-driven environment confidently but also use Docker for both new and existing projects.
Table of Contents (21 chapters)
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1
Section 1: An Introduction to Docker – Containers and Local Development
6
Section 2: Running Docker in Production
14
Section 3: Docker Security – Securing Your Containers

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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Docker for Developers
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