Book Image

Docker for Developers

By : Richard Bullington-McGuire, Andrew K. Dennis, Michael Schwartz
2 (1)
Book Image

Docker for Developers

2 (1)
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)
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

Summary

In this chapter, you have learned all about observability – how to perform logging and monitoring for Docker applications using both Kubernetes cloud-native approaches and using AWS services.

You learned about decoupling applications from common services (such as Redis) to increase production-readiness. In order to aid troubleshooting and the analysis of application and system problems, you learned how to extend logging beyond the running containers in a Kubernetes cluster into AWS CloudWatch and S3, as well as how to query those log storage systems using both CloudWatch Insights and AWS Athena. You saw how you might add more sophisticated Kubernetes liveness and readiness probes to an application, and how to make error handling more robust.

Then, you learned how to collect detailed metrics from both the application and the supporting systems using Prometheus, how to query those metrics, and how to set up alerts with the Prometheus Alertmanager. Prometheus and...