AWS Infrastructure Deployment.

This stack uses Severless Framework, Makefile, Python, Selenium, Deadless Chronium, AWS and circleci to deployment infrustracture which is capable to deploying hundreds of lambdas to scrap information, process information, and store information.

Usage

make deploy
curl -i -H "x-api-key: xxxxxxxxxxxxxxxxxxxxxxxx" https://xxxxxxxxx.execute-api.us-west-2.amazonaws.com/beta/V1/RM\?dropID\=xxxx

default sls deploy will deploy to aws lab account as beta

sls deploy --env lab/preprod/prod --stage beta

A secretes file is required run above commands.

config/secrets-labs.env

export AWS_ACCESS_KEY_ID=xxxxxxxxxxxxxxxxxxxxxxxx
export AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxx
export AWS_DEFAULT_REGION=xxxxxxxxxxxxxxxxxxxxxxxx

Further, environment variable files are required for lambda execuction

config/env-var/aws-labs.json
config/env-var/aws-s3-legacy-access.json

aws-labs.json
{
    "aws_access_key_id": "xxxxxxxxxxxxxxxxxxxxx",
    "aws_secret_access_key": "xxxxxxxxxxxxxxxxxxxxx",
    "aws_region": "xxxxxxxxxxxxxxxxxxxxx"
}

aws-s3-legacy-access.json
{
    "aws_access_key_id":"xxxxxxxxxxxxxxxxxxxxx",
    "aws_secret_access_key":"xxxxxxxxxxxxxxxxxxxxx
}

What this project does

This code allows users to request an API Gateway GET endpoint with a file id and determine if the mail file is passing or failing based off global & unique campaign settings.