Git annex s3 zip file#
Git annex s3 update#

Git annex s3 update#

Update Source Code: The step execute 'aws lambda update-function-code' command to update the lambda source code with the object from S3 Bucket.

Check S3 Bucket: This step executed 'aws s3api' command to check if the object named 'version.zip' exist in the S3 bucket.

Configure AWS Credentials: This step requires the user lambda secrets for configure the credentials for use AWS Cli.

This step make a request to GitHub rest api and check if the tag exist.

Check Git Tag: The custom input named 'version' expect a value equal to some tag in the repo.

It has one job with a set of four steps executed sequently. The workflow 'Deploy to Lamda Function' is configured to run on the workflow_dispatch event using custom-defined inputs.

Create Git Tag: Creates a git tag named 'yyyymmdd-hhmmss' e.g.

Git annex s3 zip file#

Upload to S3 Bucket: Takes the zip file and upload to S3 bucket using the command 'aws s3 cp'.

Configure AWS Credentials: This step requires the user bucket secrets for configure the credentials for use AWS Cli.

Create Zip File: Creates a package zip file named 'yyyymmdd-hhmmss.zip' with the project source files e.g.

The step output is an input for the 'Create Zip File' and 'Create Git Tag' steps.

Generate Tag Version: Generates a unique string with the format 'yyyymmdd-hhmmss' e.g.

It has one job with a set of five steps executed sequently. The workflow 'Build and Upload' is configured to run on the push event is trigger. In our case, we will have two workflows: Workflow 1: Build and Upload This folder should contains all the workflow files that you need. The project must have a folder named '.github/workflows'. A job has several steps which will be executed sequentially.

AWS_S3_BUCKET_USER_AWS_SECRET_ACCESS_KEY: Secret access key for S3 user credentialĪ workflow is a collection of job definition that will be executed concurrently and/or sequentially.

AWS_S3_BUCKET_USER_AWS_ACCESS_KEY_ID: Access key id for S3 user credential.

AWS_LAMBDA_USER_SECRET_ACCESS_KEY: Secret access key for Lambda Function user credential.

AWS_LAMBDA_USER_ACCESS_KEY_ID: Access key id for Lambda Function user credential.

AWS_LAMBDA_REGION: Lambda Function region.

AWS_LAMBDA_FUNCTION_NAME: Lambda Function name.

We should change the Lambda Function runtime settings with our custom handler:Īfter setup the AWS environment, create the action secrets for AWS security credentials on GitHub repository (Repository Settings -> Secrets and Variables -> Actions -> New repository secret): We need a lambda function with an API Gateway attached and running: Both are necessary for using the AWS Cli in our GitHubAction Workflow.įirst user with permissions for create objects in S3 services with the following policies:Īnd second user with permissions for update our Lambda Function source code with the following policies: Lambda Function and ApiGateway One is for interact with S3 services and the other for Lambda function. We need two users with specific permissions for different purpose and policies.

GitHub Repository (we need GitHub Actions).

1 AWS credential for S3 with create objects permissions.

1 AWS credential for deploy lambda function and read S3 objects.

NodeJS Express and AWS Lambda Functions.

If you are new to AWS Features or Github itself, refer first to my previous posts: In this article we are going to learn how create pipelines in GitHub, upload files to S3 and deploy the application code in Lambda function. For example: If your deployment package is larger than 50 MB, you need to upload the code to Amazon S3 bucket. The file includes your application code and its dependencies with a size limitation. AWS Lambda offers zip file as a deployment package.