| Step# | Description |
|---|
| 1 | Users interact with the Job Manager application which is deployed on an Amazon Elastic Computer Cloud (EC2) instance. This component controls the process of accepting, scheduling, starting, managing, and completing batch jobs. It also provides access to the final results, job and worker statistics, and job progress information. |
| 2 | Raw job data is updated to Amazon Simple Storage Service (S3), a highly-available and persistent data store. |
| 3 | Individual job tasks are inserted by the Job Manager in an Amazon Simple Queue Service (SQS) input queue on the user's behalf. |
| 4 | Worker nodes are Amazon EC2 instances deployed on an Auto Scaling group. This group is a container that ensures health and scalability of worker nodes. Worker nodes pick up job parts from the input queue automatically and perform single tasks that are part of the list of batch processing steps. |
| 5 | Interim results from worker nodes are stored in Amazon S3. |
| 6 | Progress information and statistics are stored on the analytics store. This component can be either an Amazon SimpleDB domain or a relational database such as an Amazon Relational Database Service (RDS) instance. |
| 7 | Optionaly, completed tasks can be inserted in an Amazon SQS queue for chaining to a second processing stages. |