This image shows a data-processing workflow on Amazon Web Services (AWS).

1. Data is gathered and sent to an EC2 compute instance.
2. Raw data is stored in Simple Storage Service (S3) bucket and data pipelines send the data to a managed AWS RDS MySQL Database.
3. Data moves from the MySQL database to an EC2 compute instance.
4. Data pipelines send the data from the EC2 instance to a MongoDB Atlas database.
5. Data pipelines move the data from the MongoDB database through an API on an EC2 instance.
6. Data traffic moves through an application load balancer.
7. The end user fetches the data in JSON format.