Templates/Dataflow Streaming Ingest
Google Cloud
Data & Analytics
intermediate

Dataflow Streaming IngestGoogle Cloud Architecture Template

Real-time ingestion from Pub/Sub through Dataflow into BigQuery for analytics, Bigtable for low-latency serving, and GCS for archive.

Event StreamStreaming PipelineAnalytics WarehouseLow-Latency ServingCold ArchiveCloud MonitoringCloud Logging

Why this architecture works

  • One Dataflow pipeline fans out to analytics, serving, and archive sinks in a single pass.
  • Bigtable serves single-digit-millisecond point reads that BigQuery is not built for.
  • Exactly-once Dataflow semantics prevent duplicate rows in BigQuery during retries.
  • The GCS archive is the cheap system of record for replays and backfills.

What's inside (7 resources)

Event Stream
gcp-pub-sub
Streaming Pipeline
gcp-dataflow
Analytics Warehouse
gcp-bigquery
Low-Latency Serving
gcp-bigtable
Cold Archive
gcp-cloud-storage
Cloud Monitoring
gcp-monitoring
Cloud Logging
gcp-logging

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 Pulumi in one click.
  4. Review the plan diff and security scan, then deploy with human approval.

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