AWS
Data & Analytics
advanced
Real-Time Analytics Pipeline — AWS Architecture Template
Kinesis stream processed by Lambda into a DynamoDB hot store and S3 cold archive, with Athena for historical queries.
Why this architecture works
- Kinesis shards give ordered, replayable ingestion that decouples producers from processing speed
- Hot/cold separation serves dashboards from DynamoDB in milliseconds while S3 keeps full history cheaply
- The same stream feeds both paths, so real-time and batch views never disagree on source data
- Glue catalogs the archive so Athena can query years of events without an ETL reload
- Anomaly alerts publish to SNS straight from the processor, cutting detection-to-page time
What's inside (9 resources)
Event Stream
aws-kinesis
Stream Processor
aws-lambda
Anomaly Alerts
aws-sns
Hot Store
aws-dynamodb
Cold Archive
aws-s3
Metrics API
aws-api-gateway
Archive Catalog
aws-glue
Historical SQL
aws-athena
Iterator Age 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.