{"id":679,"date":"2021-11-26T10:59:24","date_gmt":"2021-11-26T10:59:24","guid":{"rendered":"https:\/\/www.workfall.com\/learning\/blog\/?p=679"},"modified":"2023-04-28T05:59:35","modified_gmt":"2023-04-28T05:59:35","slug":"how-to-set-up-a-continuous-deployment-pipeline-to-deploy-versions-of-an-application-on-aws-elastic-beanstalk-using-aws-codepipeline-part-2","status":"publish","type":"post","link":"https:\/\/learning.workfall.com\/learning\/blog\/how-to-set-up-a-continuous-deployment-pipeline-to-deploy-versions-of-an-application-on-aws-elastic-beanstalk-using-aws-codepipeline-part-2\/","title":{"rendered":"How to set up a continuous deployment pipeline to deploy versions of an application on AWS Elastic Beanstalk using AWS CodePipeline (Part 2)?"},"content":{"rendered":"Reading Time: <\/span> 11<\/span> minutes<\/span><\/span>\n

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AWS Elastic Beanstalk allows us to quickly deploy and manage applications without having to worry about the underlying infrastructure. One of its major benefits is that it reduces the complexity of management of the infrastructure without any restrictions thereby making it easy for developers to focus on just building the application and least worry about the deployment architecture.<\/p>\n\n\n\n

We can make use of AWS Elastic Beanstalk<\/a> to deploy and scale the deployed web applications with an easy-to-use interface. Elastic Beanstalk supports the deployment of Java<\/a>, .Net, Python<\/a>, Node.js<\/a>, Ruby, etc. applications.\u00a0<\/p>\n\n\n\n

Having a variety of options makes it a most popular service amongst developers to quickly deploy web applications. All that is required by the service is to just upload the code base as a .zip file and Elastic Beanstalk will automatically handle the deployment process taking care of everything that is required to maintain and manage the infrastructure. <\/p>\n\n\n\n

The service does not charge you a fixed amount since you only pay for the resource needed to run the applications. AWS CodePipeline<\/a> is basically a web service that automates the deployment of an application. It consists of various stages like Source, Builds, Approval (optional), and Deploy. The Source stage can easily be integrated with 3rd party tools or with AWS CodeCommit or Amazon S3 to update the code base.<\/p>\n\n\n\n

The build stage can then be integrated with Amazon S3 to store the logs and similarly, the deploy stage can further be integrated with multiple services including AWS Elastic Beanstalk. You can push the application version updates quickly by automating the process of deployment of the new application versions to ease the process of multiple version releases.<\/p>\n\n\n\n

Refer to part 1<\/a> of the blog here.<\/p>\n\n\n\n

AWS Elastic Beanstalk – Recap<\/h2>\n\n\n\n
\"AWS<\/figure>\n\n\n\n

Amazon ECS (Amazon Elastic Container Solution) is a highly scalable and fast container management service that simplifies the process of starting, stopping, and managing containers in a cluster. The containers you use to run individual tasks or tasks within a service are defined in a task definition.<\/p>\n\n\n\n

Simply upload your code, and Elastic Beanstalk will take care of everything else, including capacity provisioning, load balancing, auto-scaling, and application health monitoring. You have complete control over the AWS resources that power your application and can access them at any time. Elastic Beanstalk is free; you only pay for the resources you use.<\/p>\n\n\n\n

Hands-on<\/h2>\n\n\n\n
\"AWS<\/figure>\n\n\n\n

In this hands on we will see how we can make use of AWS CodePipeline to set up a continuous deployment pipeline to deploy versions of an application on Amazon Elastic Beanstalk. We will first navigate to the Amazon Elastic Beanstalk dashboard to explore the pricing structure and its use cases leading to creating a new environment configuring the advanced settings in a private VPC. We will then navigate to the demo source code URL to download the code base and then traverse to the Amazon S3 dashboard, create a new bucket with versioning enabled, and then we will upload the downloaded zip file of the code base to the Amazon S3 bucket from the local machine. Traversing to the Amazon CodePipeline dashboard, we will create a new pipeline with source as Amazon S3 bucket that contains the code base and the destination as the Amazon Elastic Beanstalk environment on which the code is to be deployed. Uploading the code file to the S3 bucket will trigger the CodePipeline initiating the process of deployment on the Elastic Beanstalk environment. We will then navigate to the application URL to test out the code changes and check if the version deployment of the application was successful. We will then extract the code files to the local machine from the zip file, alter the code in the main file, navigate to the newly created Amazon S3 bucket and then redeploy the new zip file to the S3 bucket. After uploading, we\u2019ll be able to see two versions of the zip code file. Uploading the new code file to the S3 bucket will then trigger the code pipeline and initiate the process of deploying the new code base on the Elastic Beanstalk environment. We will then navigate to the application URL again to test out the code changes and check if the version deployment of the application was successful.<\/p>\n\n\n\n

To implement this, we will do the following:<\/strong><\/p>\n\n\n\n