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, we explored the topic of scaling out clusters in Kubernetes by using the Cluster Autoscaler and the Horizontal Pod Autoscaler. We then explored the topic of service meshes and set up a minimalistic Envoy service mesh in order to provide proxying and transparent network communications for complex microservice architectures.

Following this, we looked at how we could use the circuit breaker pattern to prevent a service from becoming overwhelmed by traffic. Then, we used connection thresholds to test that the circuit breaker worked, in conjunction with a simple load test technique, using Docker and Apache Bench. After this, we learned about progressively more sophisticated load testing techniques when using k6, including both record-and-playback and detailed hand-crafted load tests designed to mimic real user behavior.

This brings us to the end of our Running Containers in Production section of this book. We're going to move on and look at security next...