5 Easy and Quick Steps for AWS DevOps Pipeline Implementation

  • With changing needs to modify, deploy, or replicate the code, companies need to be empowered to develop software more effectively. With Amazon Cloud Computing Services, you can attain extensive experience in configuration management, infrastructure automation, and CI/CD to build infrastructure.

  • If you’re skeptical about how to do hassle-free AWS DevOps Pipeline implementation, we will guide you with a step by step procedure. But first, let’s understand what AWS DevOps Pipeline is.

What is AWS DevOps Pipeline?

Earlier, the application development used to be held with the support of two different teams - development and operations. While the development team would write the code and test it, they would deliver it further to the operations team. The operations team would be responsible to deploy it on the server and fix any issues that occur during the process. The process was long and time-consuming!

The recent innovation in technology has given birth to the Amazon Web Server (AWS) Cloud Computing Services. These services eliminate the need for such a long process of code deployment on a live server. The development and operations team can work together in the DevOps manner.

It helps developers write the code that is highly scalable and manageable in production environments. And the issues within the code or production can be identified and fixed in no time. Now, the question is how do AWS DevOps pipelines work?

Well, the process is quite simple:

  • The development team implements the code changes in the release to the code repository.
  • Later, the testing team analyzes the code and bugs to prepare it for the release.
  • After the quality check, the development team prepares the production build for the final release.
  • The operations team deploys it to the live server manually.

To speed up the process, automation can be introduced within the release and testing phases through AWS DevOps Pipeline Implementation. Let’s learn to create and set up your own Amazon DevOps Pipeline to automate the testing and deployment tasks.

How to Create Amazon DevOps Pipeline?

Automation in the deployment of a static website can be done using the following Amazon Web Services (AWS)

  • CodePipeline
  • CodeBuild
  • S3

The static website that is to be deployed contains the simple HTML file accessed from the S3 URL. To deploy this on a live server, you need to manually upload the HTML file in the bucket through the AWS console. Though, this is not a tough task to do but can be time-consuming. By automating this process, you can save a lot of time and effort from the team.

How Does the Website Hosting Work on S3?

This is a 3 steps process –

  • Step 1 - Create a Bucket

    To get your static website running, the first step is to create an S3 bucket. To build the bucket, go to AWS console, choose services, then S3, and find the option to Create bucket. Here, you need to ensure to turn on the public access of the bucket to access it across the internet. Rest other options can remain as default.

    Step 2 – Enable Site Hosting

    In the S3 bucket, you can upload the HTML files to later use them during the deployment. However, the next task is to turn these HTML files into the static website to prepare for hosting. Now you can see your website running by going to the URL as mentioned in the Static website hosting dialog.

Once, you have the static website on the S3 bucket, you can automate the further process through Pipeline creation.

How to Create the Amazon Web Server DevOps Pipeline?

To host the code from the bucket, you’d need to have a repository. You can use the AWS repository service CodeCommit. To create a repository in the same, go to AWS Console, then CodeCommit, and click on the ‘Create Repository’ option.

Now, you can enter the name of the Repository and save. The next step is to create a pipeline that will streamline the deployment of your static website. To do so, follow these steps –

  • Step 3 – Go to AWS Console, select CodePipeline, and click on Create new pipeline.

    Here, you can enter the name of the pipeline and then, select the option of ‘New Service Role’. Leave the rest options as defaults.

    Step 4 – Then, select the AWS CodeCommit as the Source provider and choose the newly created repository and branch name.

    Step 5 – On the next step, you can choose Amazon S3 as your Deployment stage and leave the S3 object key empty.

Also, enable the public-read of the extracted file and save.

Now your pipeline is good to go, and you can finally deploy the HTML file in your CodeCommit repository to S3.

Although this is one of the easiest setups you can have, the basics are the same. Even for deploying complex back-end applications to Amazon Cloud Services, you can use the same process. However, in that case, there might be more steps, but the basic flow would be the same.

Conclusion –

Setting up the AWS pipeline to automate the workflow saves you a lot of time and effort. It also helps in eliminating manual errors to ensure greater safety. If you want to speed up the development and deployment process across your organization, AWS Cloud Services is undoubtedly the best choice.

Narola Solutions is a qualified AWS partner that makes it easy for you to get Cloud Consulting services at just one click. From understanding the basics of pipelining to getting in-depth knowledge of its benefits and future scopes, you can learn everything from the scratch.

Team up with us to experience modern age technology and functions that your competitors already use. Join us to revolutionize your development and deployment process.

You can connect to discuss your business requirements. Or, you may schedule a meeting with our experts to understand which AWS Cloud Computing solution would be the best fit for your business needs.

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