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Express.js on AWS Lambda with Serverless Framework

3 posts · Jun 2019 – Aug 2019

What this trail covers

Atlassian's CI/CD capabilities are enhanced with the ability to automate serverless framework deployments. This includes integrating Bitbucket Pipelines with AWS Lambda and API Gateway, allowing for declarative stack definition and automated resource management. The system supports custom IAM permissions and can be extended with pre-built Pipes for streamlined deployments. This post details the use of Bitbucket Pipes to automate AWS Lambda deployments, including creating a test function, configuring AWS credentials, and writing a pipelines file that utilizes the `atlassian/aws-lambda-deploy` pipe.

All Atlassian trails
  1. Deploy an Express.js app to AWS Lambda using the Serverless FrameworkThis post details the steps to deploy an Express.js application to AWS Lambda using the Serverless Framework. It includes creating a sample Express app, integrating the `serverless-http` module to make the Express app compatible with the Lambda environment, configuring the `serverless.yml` file for AWS provider, runtime, region, and HTTP events, and finally deploying the application using the `serverless deploy` command. It also briefly mentions Claudia.js as an alternative.
  2. Automating Serverless framework deployments using Bitbucket PipelinesThis post details how to automate Serverless framework deployments using Bitbucket Pipelines. It covers creating a test Serverless project with a Python Lambda function and API Gateway, configuring AWS IAM credentials with least privilege, and writing a `bitbucket-pipelines.yml` file to install the Serverless framework, configure credentials, and deploy the stack to AWS. The post also suggests further improvements like merge checks and custom Pipes.
  3. Automating AWS Lambda deployments using Bitbucket Pipelines and Bitbucket PipesThis post introduces and demonstrates the use of Bitbucket Pipes, specifically the `atlassian/aws-lambda-deploy` pipe, to automate the deployment of AWS Lambda functions. It outlines the steps involved in creating a basic Lambda function, configuring AWS IAM credentials as repository variables, and defining a `bitbucket-pipelines.yml` file to package the function and deploy it using the pipe. The post highlights the advantages of Pipes, such as simplifying pipeline creation, abstracting complex workflows, and enabling semantic versioning for safer updates.