01 Overview
Overview
Cloud architecture for ingesting, processing, and operating IoT telemetry at scale with device identity and operational control.
02 Business / Engineering Context
Business / Engineering Context
Device telemetry had to become an operational signal without collapsing intake under bursty volume.
03 Problem
Problem
Device telemetry needed a path from ingestion to useful operational views without collapsing under volume or losing device identity.
04 Constraints
Constraints
- Device identity is a security boundary, not a convenience field
- Operations and longer-horizon analysis could not share one ungoverned pipe
05 Architecture
Architecture
- Device identity and intake separated from analytics consumption
- Streaming ingestion with backpressure-aware processing
- Clear data products for operations versus longer-horizon analysis
- Cloud-native operations for the control plane
Connectivity, ingestion, processing, and consumption are separate so each can scale and fail independently.
Device identity and intake
Authenticated telemetry
Streaming ingestion
Backpressure-aware intake
Operational views
Near-term control signals
Longer-horizon data products
Downstream analysis
- Device identity and intakeStreaming ingestion Telemetry
- Streaming ingestionOperational views Operations
- Streaming ingestionLonger-horizon data products Durable data products
08 Security
Security
Device identity and intake credentials were treated as a security boundary.
10 Observability
Observability
Pipeline health and device connectivity needed to be visible as operating signals.
11 Performance / Scalability
Performance / Scalability
Ingestion was designed for bursty device volume, not a fixed server farm.
12 Outcomes
Outcomes
- A production IoT platform with a defined path from device to operational use
- Ingestion and processing scaled independently of downstream consumers
14 Current State
Current State
Completed production IoT platform. Published here in sanitized form.