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CI/CD pipeline is where new code is submitted on one end, tested over a series of stages (source, build, test, staging, and production), and then published as production-ready code. Each stage of the CI/CD pipeline is structured as a logical unit in the delivery process. Each stage acts as a gate that vets a certain aspect of the code. As the code progresses through the pipeline, the assumption is that the quality of the code is higher in the later stages, because more aspects of it continue to be verified. Problems uncovered in an early stage stop the code from progressing through the pipeline. Results from the tests are immediately sent to the team, and all further builds and releases are stopped if software does not pass the stage. We bring in a complete set of CI/CD developer tools to accelerate software development and release cycles. This enables the rapid and reliable delivery of features and updates.
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Overview
Host code, build, test, and deploy your applications quickly and effectively with AWS developer tools. Leverage core tools like software development kits (SDKs), code editors, and continuous integration and delivery (CI/CD) services for DevOps software development. Use machine learning (ML) -guided best practices and abstractions to improve agility, security, velocity, and code quality. Release software faster: Implement continuous integration and continuous delivery with the AWS developer tools to accelerate your software development and release cycle. Easily integrate with AWS: AWS developer tools are built to work with AWS, making it easier for your team to get set up and be productive. Simplify the development process: Define application infrastructure in familiar, easy-to-use programming languages. Apply machine learning: Use ML and big data to identify issues and suggest solutions based on best practices.
Highlights
- The CI/CD pipeline is built using AWS CodePipeline, and utilizes a continuous delivery service that models, visualizes, and automates the steps required to release software. By defining stages in a pipeline, you can retrieve code from a source code repository, build that source code into a releasable artifact, test the artifact, and deploy it to production. Only code that successfully passes through all these stages will be deployed.
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