local-aws-lambda-boilerplate

Docker Image for Local AWS Lambda

Docker-lambda docs

Docker-lambda

Step 1: Build Image

Don't think you need to build the image, I couldnt get the Dockerfile to work

docker build -t local-aws-lambda-boilerplate .

Step 2: Run container

-e DOCKER_LAMBDA_WATCH=1 -e DOCKER_LAMBDA_STAY_OPEN=1 -p 9001:9001 \
--name node-ping \
-v "$PWD":/var/task:ro,delegated \
lambci/lambda:nodejs12.x index.handler

OR

docker run --rm -v "$PWD":/var/task lambci/lambda:nodejs12.x index.handler

Step 3: Run Lambda

curl -XPOST "http://localhost:9001/2015-03-31/functions/function/invocations" -d '{}'

OR: Run and output to file in local directory

--region us-west-2 \
--endpoint http://localhost:9001 \
--no-sign-request \
--function-name function \
--cli-binary-format raw-in-base64-out \
--payload '{"a":"b"}' output.txt

Step 4: Deploy Lambda to production

export $(xargs < .env)
zip -r function.zip . &&
aws lambda update-function-code --function-name=$function-name \
--region $region \
--zip-file=fileb:///function.zip \
--publish \
--profile $aws-profile &&
rm function.zip

Step 5: Invoke production lambda

    code here

Things I learned

• amazon/aws-lambda-nodejs:12 and lambci/lambda:build-nodejs12.x are both docker images that are very similar but the latter allows you watch for changes and refresh your handler
• To run once use docker run --rm -v "$PWD":/var/task lambci/lambda:nodejs12.x index.handler
• -v "$PWD":/var/task lets you mount locally, the :/var/task is the path inside the container
• You need to run it on port 9001, if you want to change the port then look at the docs, this got me