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Table of contents
AWS CodePipeline
AWS CodePipeline features
Workflow modeling
AWS integrations
Custom plugins
Declarative templates
Set Up a CI/CD Pipeline on AWS
Set up a Continuous Deployment Pipeline
Frequently Asked Questions
What is the Availability Zone?
What is the AWS region?
What is CDI flow?
What do you mean by Distribution?
Can a CodePipeline trigger another pipeline?
Last Updated: Mar 27, 2024

AWS CodePipeline

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AWS CodeDeploy is a service that automates the deployment of code to any instance, including Amazon EC2 and on-premises instances. AWS CodeDeploy allows you to quickly release new features, avoid downtime during deployment, and manage the complexity of updating your apps.

AWS CodePipeline

AWS CodePipeline is a completely managed continuous delivery service that assists you in automating your release pipelines for quick and reliable application and infrastructure changes. 

Based on the release model you set, CodePipeline automates the build, test, and deploy parts of your release process every time there is a code change. This allows you to provide features and upgrades quickly and consistently. AWS CodePipeline can be easily integrated with third-party services like GitHub or your own custom plugin. You only pay for what you use with AWS CodePipeline. There are no hidden costs or long-term obligations.

AWS CodePipeline features

AWS CodePipeline is a continuous integration and continuous delivery service for fast and reliable application and infrastructure updates. We can use CodePipeline to fully model and automate our software release processes.

Workflow modeling

A pipeline outlines how a new code change travels through your release process and defines your release process workflow. A pipeline is made up of several steps (for example, develop, test, and deploy) that operate as logical divisions in your process. Each stage consists of a series of steps, such as writing code or deploying to test environments. AWS CodePipeline provides a graphical user interface for creating, configuring, and managing your pipeline, as well as its many phases and activities, so you can easily view and model your release process workflow.

AWS integrations

AWS CodePipeline may pull source code straight from AWS CodeCommit, GitHub, Amazon ECR, or Amazon S3 for your pipeline. It can use AWS CodeBuild to conduct builds and unit tests. CodePipeline can use AWS CodeDeploy, AWS Elastic Beanstalk, Amazon Elastic Container Service (Amazon ECS), or AWS Fargate to deploy your modifications.

As part of your release process, you can model AWS CloudFormation activities that allow you to provision, edit, or delete AWS resources. With the AWS Serverless Application Model, you can also constantly provide serverless apps developed with AWS Lambda, Amazon API Gateway, and Amazon DynamoDB (AWS SAM).

Custom plugins

You can link your own bespoke solutions using AWS CodePipeline. By connecting the CodePipeline open-source agent with your servers, you can register a custom action that allows you to hook your servers into your pipeline. The CodePipeline Jenkins plugin may also be used to quickly register your current build servers as custom actions.

Declarative templates

AWS CodePipeline lets you specify the structure of your pipeline using a declarative JSON document that specifies your release workflow, phases, and actions. These documents allow you to upgrade existing pipelines and serve as starting points for new pipeline creation.

Set Up a CI/CD Pipeline on AWS

A pipeline allows you to automate processes in your software delivery process, such as starting automatic builds and deploying to Amazon EC2 instances. You'll utilize AWS CodePipeline, a service that builds, tests, and delivers your code based on the release process models you describe every time there's a code change. To choreograph each step of your release process, use CodePipeline. Other AWS services will be connected to CodePipeline as part of your setup to complete your software delivery pipeline. This tutorial will show you how to build a simple pipeline that pulls code from a source repository and deploys it to an Amazon EC2 instance automatically.


 Source:Amazon AWS

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Set up a Continuous Deployment Pipeline

Follow the following steps to set up a continuous deployment pipeline.

Step 1: Create a deployment environment

A target environment with virtual servers or Amazon EC2 instances will be required for our continuous deployment workflow to install sample code. This environment will be prepared before the pipeline is built. To make the process of setting up and configuring EC2 instances for this course easier, you'll use AWS Elastic Beanstalk to create a sample environment. Elastic Beanstalk allows you to host web applications without having to set up, configure, or manage your own virtual servers. It manages the infrastructure (virtual servers, load balancers, and so on) as well as the application stack (OS, language and framework, web and application server, and so on) for you.

Step 2: Get a copy of the sample code

You'll get a copy of the sample app's code and choose a source to host it in this stage. The pipeline extracts code from a source and then executes it.

Step 3: Create your pipeline

Create and set up a small pipeline with two actions: source and deploy in this stage. The locations of your source repository and deployment environment will be provided to CodePipeline.

Step 4: Activate your pipeline to deploy your code

This is where your pipeline will be launched. Your pipeline will begin to run automatically after it has been created. It first finds the sample app code in your source directory, bundles the files, and moves them to the second stage you specified. It delivers the code to Elastic Beanstalk during this stage, which holds the EC2 instance that will host your code. The code is deployed to the EC2 instance using Elastic Beanstalk.

Step 5: Commit a change and then update your app

You will revise the sample code and commit the update to your repository in this step. CodePipeline will automatically detect your changed sample code and begin deploying it to your EC2 instance using Elastic Beanstalk.

The sample web page you deployed refers to AWS CodeDeploy, an automated code deployment service. CodeDeploy is an alternative to Elastic Beanstalk for deployment actions in CodePipeline. Let's edit the sample code to reflect the fact that you used Elastic Beanstalk to deploy the sample.

Frequently Asked Questions

What is the Availability Zone?

AWS Cloud computing resources are housed in a given place. Within an AWS Region, Availability Zones are connected with low latency, high throughput, and highly redundant networking. They are also physically segregated and isolated from one another. For redundancy, you can build MediaConnect flows in separate Availability Zones.

What is the AWS region?

A geographical area including one or more Availability Zones. Each AWS Region operates independently of the others. To distribute material to receivers in different parts of the world, you can construct MediaConnect flows in distinct Regions.

What is CDI flow?

A MediaConnect flow that transfers JPEG XS-lightly compressed high-quality material. The content is decoded into independent audio, video, and ancillary data media streams. Multiple media streams can be used for the source and multiple media streams can be used for each output in a CDI flow. To ingest content that corresponds to the SMPTE 2110, part 22 transport standard, MediaConnect leverages AWS Cloud Digital Interface (AWS CDI) network technology.

What do you mean by Distribution?

The result of creating outputs that point to MediaConnect flows in other AWS Regions, for the purpose of delivering content to different geographical locations.

Can a CodePipeline trigger another pipeline?

Assume both CodePipelines are in the same account. In your buildspec.yml, you can include a "post-build" step. You can use AWS SDK commands to start the second CodePipeline in the post-build phase.


In this article, we studied in detail the AWS CodePipeline. We saw its uses and key concepts. We hope that this blog has helped you enhance your knowledge regarding  AWS CodePipeline.

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