Edge + Cloud: Hybrid Architecture
In IoT and field applications, latency and cost can be reduced with on-premise compute instead of moving all data to the cloud.
Architectural Patterns
- Pre-processing and summarization (feature extraction)
- Queuing for offline/interconnect scenarios
- Run a model on-device and retrain in the cloud
Data Governance
- Data classification, identity and access control
- Encryption and key management
The right differentiation: make instant decision-making data at the edge and deep analysis in the cloud.
