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How to Create an AWS Continuous Deployment Pipeline Cont’d

In our previous post, we showed how to create an AWS Continuous Deployment Pipeline. This post will continue where we left off. We will enhance the pipeline with a Review stage, a more efficient use of the Maven cache and add notifications to the pipeline.

1. Introduction

In our previous blog, we created step by step a continuous deployment pipeline using AWS services. It is advised to read that blog first before continuing with this one. We will enhance the pipeline with a Manual Review stage. This will allow us to have an extra confirmation step before deploying a new version to Elastic Beanstalk. This is only necessary when you need this extra confirmation. When you are confident enough about the preceding steps in your pipeline, it is easier and faster to deploy automatically without any manual intervention needed.

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Continuous Integration and Delivery With AWS Code Pipeline

Agenda: 

  • Introduction    
  • Should-Have    
  • AWS CodeBuild configuration
  • AWS CodePipeline configuration

Introduction 

This article is intended to present a concise illustration of how to configure a CI/CD process for Mule Applications using AWS Source Code engines like AWS CodeCommit, CodeBuild, and CodePipeline.

Should-Have  

  1. MuleSoft Project with maven
  2. Mule enterprise credentials
    • AWS permission to:
      1. Create branches in repositories
      2. Execute git actions in repositories: pull, commit, merge, push.
      3. Configure mandatory roles for CodeBuild and CodePipeline
      4. Configure CodeBuild MuleSoft Project
      5. Configure CodePipeline

AWS CodeBuild Configuration

Create AWS CodeCommit repository for MuleSoft project: 

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How to Create an AWS Continuous Deployment Pipeline

Creating a continuous deployment pipeline will bring us a step closer to an automated build, test, deploy strategy. In order to create such a pipeline, we need to have access to several tools. Instead of installing these on on-premise servers, we can make use of the AWS cloud offer. Let’s see how this can be accomplished!

1. Introduction

We want to create an automated pipeline in order to ensure that no manual and error prone steps are required for building, testing and deploying the application. When a failure occurs during one of these steps, we will be automatically notified and can take necessary actions in order to resolve the issue.

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The Results of A Comparison Between Five CI/CD Services

What CI/CD service is right for you?

Introduction

In this article I will outline the results of a comparison between five different CI/CD services, namely:

For this comparison, I will use each service to run tests and deploy a Dockerized Node application to AWS Elastic Beanstalk. I will detail how to configure the CI/CD process with each service and I will provide some performance statistics that compare the services.