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In the ever-evolving landscape of cloud technology, Amazon has introduced innovative tools to enhance developer productivity and streamline DevOps processes. One such tool is Amazon CodeCatalyst, which now supports multi-architecture container builds utilizing AWS Graviton processors. This addition enables developers to harness high-performance computing capabilities for applications targeting both Arm and x86 architectures.
The power of AWS Graviton processors lies in their ability to deliver exceptional price-performance for cloud workloads hosted on Amazon EC2. With the recent updates in Amazon CodeCatalyst, users can efficiently run workflow actions using either on-demand or pre-provisioned compute resources powered by these processors. This empowers developers to create artifacts for both Arm and x86 architectures, optimizing their applications for diverse environments.
Understanding the concept of multi-architecture images is critical for developers aiming to ensure compatibility across different systems. A container image designed for a specific CPU architecture, such as amd64 for Intel and AMD processors, can be combined in a single repository with its Arm counterpart. By using an image manifest, developers can seamlessly instruct the system on which image to utilize based on the target architecture.
For instance, in Amazon Elastic Container Registry (ECR), developers can create separate images for their applications, such as a simple hello-world example. One image can be tagged as latest-amd64 for x86 architecture, while another is tagged as latest-arm64 for Arm architecture. By creating an image manifest tagged as latest, users can simply pull hello-world:latest, and the correct image will be selected based on their platform.
Creating a Multi-Architecture Image Using CodeCatalyst
To create a multi-architecture image using CodeCatalyst, developers need to set up a CI/CD workflow. This automated process outlines the steps for building, testing, and deploying code efficiently. In this tutorial, we’ll explore the requirements and steps to build a simple application using Apache HTTP Server, serving a static hello world page.
Prerequisites
Before diving into the walkthrough, ensure you have:
- A CodeCatalyst space linked to your AWS account.
- An empty CodeCatalyst project and source repository.
- An Amazon ECR private repository set up in the AWS account.
- A CodeCatalyst environment connected to AWS.
Walkthrough
Our sample application will utilize a straightforward Apache HTTP Server to display a static hello world page. The process of building the container image in CodeCatalyst will focus on creating two separate images for amd64 and arm64 architectures, which will run in parallel.
Initially, your repository will only include a README.md file, but soon it will evolve. Start by creating a file named index.html that contains basic HTML structure, which includes a title and a body displaying the hello world message.
Next, you’ll produce a Dockerfile that specifies two commands: the first to build a new image from the multi-architecture-supported Apache HTTP Server project image, and the second to copy the index.html file into the new image.
With the source code ready, the next step involves configuring the CI/CD workflow in CodeCatalyst. Navigate to the CI/CD section, select Workflows, and create a new workflow. Utilize the visual designer to add actions, starting with a build action for the amd64 container.
While setting up the build action, define key variables for your AWS region, repository name, and image tag, ensuring you correctly configure the action to build the image with Docker and push it to your ECR repository.
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For a more engaging experience, here’s an excellent video resource that visually guides you through similar processes.
By the end of this guide, you will have a robust workflow to create multi-architecture container images, making your applications versatile and ready for a wider range of environments.
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