Serverless Base Image

This base image will help us ease and speed up the AWS Lambda sessions. This one provides the baseline for anyone to pickup and start developing Lambdas without the need of setting up the whole environment.

This images includes:

• Serverless Framework Core: 1.67.0
• Serverless Plugin: 3.6.1
• Serverless SDK: 2.3.0
• Serverless Components: 2.22.3
• Node: 12.16.1
• Npm: 6.13.4
• Yarn: 1.22.4
• AWS CLI

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Requirements

• Docker CE installed.

• Command line tool that can execute docker commands.

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How to use this

You can either run it directly with docker or with docker-compose.

Docker example

• docker build -t codurance/serverless . First you need to build the image.

• docker run --rm -it --name codurance-serverless -v $(pwd):/home/svrless -p 8000:8000 -p 3000:3000 codurance/serverless /bin/bash This will start an interactive session and mount volume /home/svrless in current host folder. You can bind multiple folders

Docker Compose example

• docker-compose build Builds the image (or updates it if you've made changes to the image)
• docker-compose up -d Starts the container in dettached mode
• docker exec -it serverless-image_serverless-framework_1 /bin/bash starts and interactive session

After this, you'll be inside the container, able to run all serverless commands.

NOTE: You can modify the docker-compose.yml file and mount multiple volumes at will: Example

  ...
  volumes:
    - ./serverless:/home/svrless
    - ../serverless-front:/home/serverless-front

  ...

Above example will mount /home/svrless into host's ./serverless as well as mount /home/serverless-front into host's ../serverless-front

For further reference about volumes

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Getting started

In order to create your first lambda, you can leverage on the Serverless Framework, by executing

serverless create --template aws-nodejs --name my-service --path my-service.

This will create a sample Lambda function called my-service inside a my-service folder, based on NodeJS which you can change and configure later. You can specify other types like, as mentioned in the docs

In order to interact with AWS, first you need to configure your credentials. You can do so by executing

serverless config credentials --provider aws --key KEY --secret SECRET,

where KEY and SECRET can be obtained from AWS My security credentials menu.

After that, you can deploy your Lambda Function by running serverless deploy

Alternatively, you can deploy to a specific environment by doing

serverless deploy --stage <YOUR_ENVIRONMENT_NAME> ,

for example:

serverless deploy --stage production

AWS CLI

All aws commands are available

For further reference, please have look at Serverless with AWS