AWS
Data & Analytics
intermediate
Scheduled Big-Data Batch — AWS Architecture Template
EventBridge-scheduled Batch compute crunches S3 input into results that Glue catalogs for Athena querying.
Why this architecture works
- Batch provisions spot-friendly compute per run and scales to zero afterwards — no idle cluster cost
- EventBridge schedules make runs declarative and auditable instead of cron-on-a-box
- Writing results back to S3 with a Glue catalog makes outputs immediately queryable, not siloed
- A dedicated job role limits Batch containers to exactly the input and output prefixes they need
- Job-level CloudWatch metrics distinguish data-volume growth from genuine performance regressions
What's inside (8 resources)
Nightly Schedule
aws-eventbridge
Input Data
aws-s3
Batch Compute
aws-batch
Job Role
aws-iam
Results
aws-s3
Data Catalog
aws-glue
Athena SQL
aws-athena
Job Monitoring
aws-cloudwatch
From template to running infrastructure
- Open this template in the CloudForge visual designer (free account, no credit card).
- Customize resources, names, and connections on the drag-and-drop canvas — or ask Vani, the AI architect, to adapt it.
- Generate production-ready Terraform or CloudFormation in one click.
- Review the plan diff and security scan, then deploy with human approval.