SLS-Provisioned AWS Step Functions Example

serverless.yml

# Common use-case example of an AWS-managed state machine that orchestrates AWS Lambda instances.
# Provisioned via Serverless Framework as a CloudFormation stack.

provider:
  name: aws
  stage: ${opt:stage, self:custom.defaultStage}
  region: eu-central-1 // us-east-1, us-west-2, ...
  runtime: python3.9 // 3.7, 3.8, ...
  stackName: ${self:service}-${self:provider.stage}
  timeout: 300
  logRetentionInDays: 7 // CloudWatch Group Logs
  environment:
    // optional. just use .env.{stage} (eg. .env.dev, .env.prod) if you don't plan ..
    // .. to use locally-set environment variables.
  ecr:
    images:
      {sls_local_image_name}: 
      // CloudFormation logical ID resolves to image.name -- imperative when using heavy pip packages (eg. Tensorflow)
        path: ./{path}
  iam:
    role:
      statements:
        - Effect: "Allow" // deny, ...
          Action:
            - {actions}
          Resource:
            - arn:aws:s3:::{...} // sqs:::{...}, ...

package:
  individually: true
  excludeDevDependencies: true
  patterns:
    - '!venv'
    - '!.idea'
    - '!.git'
    - '.requirements.zip'

resources:
  Description: {desc}
  Resources:
    {resources} // sqs queues, s3 buckets, ...

custom:
  defaultStage: dev // stage, ...
  lambdaTimeout: 300 // can definitely be lowered based on use-case
  pythonRequirements:
    dockerizePip: true
    zip: true

stepFunctions:
  validate: true
  stateMachines:
    {local_sls_state_machine_name}:
      name: ${self:service}-state-machine-${sls:stage}
      events:
        - http:
           {apy_gateway if needed}
      definition:
         {definition} // yaml exported from the AWS console can be injected here

useDotenv: true

service: SERVICE_NAME

frameworkVersion: '3'

plugins:
  - serverless-dotenv-plugin
  - serverless-python-requirements
  - serverless-iam-roles-per-function
  - serverless-step-functions

function:
 $lambdas