AWS Lambda now enables you to use GitHub Actions to automatically deploy Lambda functions when you push code or configuration changes to your GitHub repository, streamlining your continuous integration and continuous deployment (CI/CD) pipeline for serverless applications.
GitHub Actions allow application development teams to automate their software delivery process, enabling CI/CD workflows that automatically build, test, and deploy code changes whenever developers push updates to their repositories. Previously, development teams building serverless applications using Lambda had to write custom scripts or AWS Command Line Interface (AWS CLI) commands to update Lambda functions from GitHub Actions. This required them to manually package function code artifacts, configure AWS Identity and Access Management (IAM) permissions, and set up error handling. This process led to repetitive boilerplate code across repositories, increased onboarding time for new developers, and increased risk of deployment errors. Starting today, the new GitHub action provides a simplified way to deploy changes to Lambda functions using declarative configuration in GitHub Actions workflows, eliminating the complexity of manual deployment steps. This action supports both .zip file and container image deployments, handles code packaging automatically, and integrates seamlessly with IAM using OpenID Connect (OIDC) authentication.
To get started, add the “Deploy Lambda Function” action to your GitHub Actions workflow file with configuration parameters for your Lambda function deployment. The action supports configuring function settings including runtime, memory size, timeout, and environment variables, optional “dry run” mode for validation without making changes, and Amazon S3-based deployment support for larger .zip file packages. To learn more, visit the Lambda developer guide and README for the “Deploy Lambda Function” GitHub action.
You can use this GitHub action for your Lambda functions in all commercial AWS Regions where Lambda is available.
Source:: Amazon AWS