Book Image

Building and Delivering Microservices on AWS

By : Amar Deep Singh
4 (1)
Book Image

Building and Delivering Microservices on AWS

4 (1)
By: Amar Deep Singh

Overview of this book

Reliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.
Table of Contents (21 chapters)
1
Part 1: Pre-Plan the Pipeline
6
Part 2: Build the Pipeline
11
Part 3: Deploying the Pipeline

An overview of Docker

Docker is an open source container platform that enables developers to build, package, ship, and run containers. Docker is written in the Go programming language and uses the Linux operating system’s kernel namespace feature to provide isolation between different containers. Each container is a workspace in a different namespace as a means of ensuring isolation.

Docker allows us to package an application’s source code and its dependencies together in the form of an image, which is then used to run an instance of the application on a container. You can run as many instances as you want using the same image file; all of them will be created identically using the same versions of the packaged dependencies and runtime. So, when your application moves from the development to the QA environment, an application instance is created and deployed the same way.

To work with Docker, you don’t need a full-fledged operating system – Docker...