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IoT Telemetry Pipeline — Google Cloud Architecture Template
Device telemetry flows from IoT Core through Pub/Sub and Dataflow into Bigtable for hot reads, BigQuery for analytics, and GCS for archive, with a real-time alert function.
Why this architecture works
- Pub/Sub between devices and processing absorbs millions of messages per second without backpressure on devices.
- Bigtable's time-series row design serves device dashboards at millisecond latency.
- A lightweight alert function on the topic reacts to threshold breaches in seconds, independent of batch analytics.
- Raw telemetry archived to GCS preserves the full-fidelity record at the lowest storage cost.
- Dataflow windowing computes rolling aggregates once, feeding both hot and analytical stores.
What's inside (9 resources)
Device Registry
gcp-iot-core
Telemetry Topic
gcp-pub-sub
Stream Processing
gcp-dataflow
Alert Fn
gcp-cloud-functions
Hot Time-Series Store
gcp-bigtable
Analytics Warehouse
gcp-bigquery
Raw Archive
gcp-cloud-storage
Cloud Monitoring
gcp-monitoring
Cloud Logging
gcp-logging
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 Pulumi in one click.
- Review the plan diff and security scan, then deploy with human approval.