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

Application performance monitoring with Jaeger

We are now going to take a brief tour of Jaeger to see how it can be used for performance monitoring in a microservices architecture. One of the key problems faced when implementing performance and error tracking in a microservice architecture versus a monolithic application is that a microservices architecture is inherently a distributed environment.

Early attempts at solving this problem, such as OpenCensus (https://opencensus.io/tracing/), suffered from disparate terminology and approaches and incompatible systems. To solve this problem, the performance monitoring community created the OpenTracing API.

Understanding the OpenTracing API

The OpenTracing project (https://opentracing.io/) is designed to allow engineers to add performance-monitoring features to their projects using a common API specification that is non-vendor specific.

Some of the key features of OpenTracing that realize this goal are as follows:

  • The...