I'm trying to build a simple data pipeline on AWS using Airflow.
I've created a DAG that scrapes data to S3 daily and then processes it with a Spark Job running on EMR.

I'm currently running the Airflow Scheduler on my laptop locally,but of course I know this isn't a good long term solution.

So I wanted to have some tips on deploying my scheduler to EC2 (istance size,deploying process or anything else it would be useful to know)