This serverless app creates consumers and workers that process incoming messages from an SQS queue. The workers convert an HTML (in an S3 bucket) to a pdf which is finally uploaded to the same bucket. Additionally, this serverless project uses iopipe for lambda tracing and debugging.

• SQS Queue to hold messages
• SNS Topic to handle CloudWatch Alarms
• DynamoDB table to persist configuration
• CloudWatch Schedule as cron replacement
• Three (scale, worker, process) AWS Lambda functions

• CloudWatch Alarms triggered by changes in queue length post to SNS
• SNS Topic triggers scale Lambda function
• Function scale updates configuration in DynamoDB
• CloudWatch Schedule invokes consumer every x minute(s)
• Function consumer reads configuration from DynamoDB
• Function consumer invokes worker function(s)

1. yarn aws-init: script to instantiate the serverless work environment (yarn install --> create s3 bucket to store html and pdf files --> generates serverless.env.yml)
2. yarn deploy: deploys your serverless code to AWS
3. yarn test: trigger tests (optional)
4. sls invoke local -f worker --stage dev --path event.json: will convert the sample html uploaded by yarn aws-init to a pdf with unique file name

1. Fix html-pdf.spec.js test scenario
2. Add unit tests
3. Fix issue preventing asynchronous function tracing from appearing on iopipe