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

What are containers?

If you have worked in the software industry for some time, you might be aware of the rivalry between software developers and test engineers. One of the common terms used by developers in response to a defect is that “it works on my machine." Test engineers frequently find defects in a test environment that developers are not able to replicate in the development environment. These things happen due to environment disparities. A minor runtime version difference between environments can cause a big difference in behavior. Containers help to solve these kind of issues.

A container is an executable unit of software that packages together the application’s code, libraries, and any dependencies so the application can be run anywhere reliably without needing to worry about specific dependencies.

A container engine allows us to run containers in a host system and uses the given operating system’s virtualization features to isolate the process...