em-shea

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "iam:*",
                "lambda:*",
                "cloudformation:*",
                "sns:CreateTopic",

em-shea

AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An example SAM template for a Lambda function that's invoked by a CloudWatch Event.

Resources:
  MyFunction:
    Type: 'AWS::Serverless::Function'
    Properties:
      FunctionName: MyFunction
      Handler: MyFunction.lambda_handler

em-shea

AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An example SAM template for a Lambda function invoked by API Gateway.

Resources:
  MyFunction:
    Type: 'AWS::Serverless::Function'
    Properties:
      FunctionName: MyFunction
      Handler: MyFunction.lambda_handler

em-shea

AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An example SAM template for a Lambda & API Gateway app that sends messages using SNS.
Parameters:
  # For any variables you don't want stored in your repo, you can pass them through the SAM deploy command
  # Ie, sam deploy .... --parameter-overrides MyEmail=myemail@gmail.com
  MyEmail:
    Type: String

Resources:

em-shea

AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An app that includes a DynamoDB table, Lambda function that writes to DynamoDB, and CloudWatch Event trigger

Resources:
  LambdaWriteToDynamoDB:
    # A function that writes to a DynamoDB table on a schedule
    Type: 'AWS::Serverless::Function'
    Properties:
      FunctionName: LambdaWriteToDynamoDB

em-shea

import os
import json
import boto3
from datetime import datetime

# Import resources using AWS Python SDK (boto3) and specify the DynamoDB table to scan and S3 bucket to write file to
# Table and bucket name are passed as environment variables in SAM template
s3 = boto3.resource('s3')
bucket = s3.Bucket(os.environ['BUCKET_NAME'])
table = boto3.resource('dynamodb').Table(os.environ['TABLE_NAME'])

em-shea

{
    "fileLocations": [
        {
            "URIPrefixes": [
                "s3://my-bucket-name"
            ]
        }
    ],
    "globalUploadSettings": {
        "format": "JSON"