AWS
Data & Analytics
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Database Analytics Offload — AWS Architecture Template
Incremental Glue extracts replicate an OLTP database into an S3 lake feeding both Redshift marts and Athena ad-hoc queries.
Why this architecture works
- Analytics queries run against the lake and warehouse, never the OLTP database, protecting transaction latency
- Incremental (CDC-style) extracts on a schedule move only changed rows, keeping the lake fresh and load small
- Landing changes in S3 first lets Redshift and Athena share one source of truth instead of diverging copies
- KMS encryption and a scoped extract role keep replicated customer data as protected as the source
- Extract lag alarms in CloudWatch catch replication drift before reports go stale
What's inside (9 resources)
Source OLTP
aws-rds
Extract Schedule
aws-eventbridge
Incremental Extract
aws-glue
Extract Role
aws-iam
Data Lake
aws-s3
Lake Encryption
aws-kms
Warehouse
aws-redshift
Ad-hoc SQL
aws-athena
Lag Alarms
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.