sample-service's serverless configuration file

serverless.yaml

service: sample-service       # Name of the service, which is used as a prefix to all function names. TODO: Update to your custom name.

frameworkVersion: ">=1.34.0"  # Layers are supported from version 1.34

provider:
  name: aws                   # Assuming this is for AWS Lambda.
  stage: dev                  # Name of the stage, typically either dev/staging/prod (or production), this is also added to all function names. TODO: Update to your custom name.
  profile: some-aws-profile   # Name of the pre-configured AWS profile that is founnd in ~/.aws/confidentials.  TODO: Update to your profile.
  region: some-region         # Name of the region to deploy all functions to. TODO: Update to your custom region.
  runtime: python3.6          # AWS Lambda runtime

# AWS Lambda Layers
layers:
  Pandas:
    path: layers/pandas                         # required, path to layer contents on disk
    name: ${self:service}-Python36-Pandas23x    # optional, Deployed Lambda layer name
    description: Pandas 0.23.x with Python 3.6  # optional, Description to publish to AWS
    compatibleRuntimes:                         # optional, a list of runtimes this layer is compatible with
      - python3.6
    licenseInfo: MIT License                    # optional, a string specifying license information.  TODO: Update to your preferred license.
    allowedAccounts:                            # optional, a list of AWS account IDs allowed to access this layer. * for all. TODO: Update to your preferred accounts.
      - '*'

package:
  individually: true

# AWS Lambda Functions
functions:
  DataAnalysis:                                 # This results in function name: ${self:service}-${self:provider.stage}-DataAnalysis, i.e., sample-service-dev-DataAnalysis
    handler: data_analysis.handler
    layers:
      - arn:aws:lambda:${self:provider.region}:468957933125:layer:AWSLambda-Python36-SciPy1x:2
      - {Ref: PandasLambdaLayer}                # Note the reference name is always the CamelCase version of the layer name with LambdaLayer suffix.

# Custom configuration of all resources including Lambda Function, IAM Role, S3 Bucket, ...
resources:
  Resources:
    DataAnalysisLambdaFunction:                 # Note the reference name is always the CamelCase version of the layer name with LambdaLayer suffix.
      Type: AWS::Lambda::Function
      Properties:
        MemorySize: 128
        Timeout: 5