End-to-end data flow
01
Sensors & PLCs
OPC-UA / MQTT
02
Greengrass Edge
Local inference
03
IoT Core / Kinesis
Ingestion broker
04
S3 / Timestream
Time-series store
05
SageMaker / Bedrock
ML + GenAI + Agents
06
QuickSight / Apps
Dashboards & APIs
Architecture layers
Device & Edge Layer
AWS IoT Greengrass
Run local Lambda, containers, and ML models at the edge; sync securely with AWS
AWS IoT SiteWise Edge
Collect and process industrial data at source from OPC-UA servers
AWS IoT FleetWise
Vehicle and machinery telemetry at scale with custom signal decoders
AWS Panorama
Deploy computer-vision models to industrial cameras and on-prem appliances
AWS IoT Device Defender
Audit device fleets, detect anomalous behaviour, and enforce security policies
Connectivity & Ingestion Layer
AWS IoT Core
Managed MQTT/HTTPS broker — connect billions of devices with device shadows
Amazon Kinesis Data Streams
Real-time streaming ingestion for high-throughput sensor telemetry
Amazon Data Firehose
Serverless delivery of streams into S3, Redshift, OpenSearch, or Splunk
AWS IoT Events
Detect and respond to equipment state changes and multi-sensor fault patterns
Processing & Storage Layer
AWS IoT TwinMaker
Compose digital twins linking real-world data with 3D scenes
Amazon S3
Petabyte-scale object storage — foundation of IoT data lakes on AWS
Amazon Timestream
Purpose-built time-series database for IoT telemetry
Amazon DynamoDB
Sub-millisecond NoSQL for device state, shadows, and real-time lookups
AI / ML Layer
Amazon SageMaker
End-to-end MLOps — labeling, training, registry, endpoints, and monitoring
Amazon SageMaker Unified Studio
Unified workspace for data, analytics, and AI teams on a shared lakehouse
Amazon Bedrock
Serverless access to Claude, Llama, Mistral, Amazon Nova and Titan models
Amazon Bedrock Agents
Orchestrate tools, knowledge bases, and multi-step agent workflows for OT/IT tasks
Amazon Q
Generative assistant for business and developers grounded in enterprise data
Amazon Lookout for Equipment
Detect industrial equipment anomalies using models trained on your sensor data
Amazon Monitron
End-to-end predictive maintenance — wireless sensors plus ML anomaly detection
Amazon Rekognition
Vision APIs for PPE detection, defect inspection, and object analysis
Application & Visualization Layer
Amazon QuickSight
BI dashboards for IoT KPIs with auto-scaling concurrency
AWS AppSync
Real-time GraphQL APIs for IoT dashboards and mobile apps
AWS IoT SiteWise Monitor
No-code industrial asset dashboards without custom development
Amazon Managed Grafana
Grafana with native AWS data sources and IAM authentication
Industrial AI use cases
Predictive Maintenance
SageMaker + Lookout for Equipment + Monitron
Visual Quality Inspection
Rekognition + Panorama + SageMaker Edge
Conversational & Agentic AI
Bedrock Agents + Amazon Q + Knowledge Bases
Demand Forecasting
Amazon Forecast + SageMaker DeepAR / Canvas
Anomaly Detection
SageMaker + Lookout for Metrics + IoT Events
Digital Twin Intelligence
IoT TwinMaker + SageMaker + Grafana
Key differentiators
Deepest IoT portfolio
SiteWise, TwinMaker, Monitron, Panorama, FleetWise and Device Defender — purpose-built industrial building blocks.
Greengrass at the edge
Run Lambda, containers and SageMaker models locally from Raspberry Pi to industrial gateways.
Bedrock GenAI & Agents
Single API for foundation models plus agents, knowledge bases and guardrails — no GPU fleets to manage.
SageMaker MLOps
From Ground Truth labeling to feature store, registry, A/B testing and drift detection in one platform.