Templates/Real-Time Analytics Pipeline
AWS
Data & Analytics
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Real-Time Analytics PipelineAWS Architecture Template

Kinesis stream processed by Lambda into a DynamoDB hot store and S3 cold archive, with Athena for historical queries.

Event StreamStream ProcessorAnomaly AlertsHot StoreCold ArchiveMetrics APIArchive CatalogHistorical SQLIterator Age Alarms

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

  1. Open this template in the CloudForge visual designer (free account, no credit card).
  2. Customize resources, names, and connections on the drag-and-drop canvas — or ask Vani, the AI architect, to adapt it.
  3. Generate production-ready Terraform or CloudFormation in one click.
  4. Review the plan diff and security scan, then deploy with human approval.

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