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Edge computing for real-time processing Efficient communication protocols (MQTT, CoAP) Over-the-air (OTA) update capabilities Power and bandwidth optimization
Protocol gateways and translation Device authentication and authorization Message routing and transformation Offline operation and sync
Stream processing for real-time analytics Batch processing for historical analysis Time-series database optimization Data retention and archival policies
RESTful APIs for application integration WebSocket for real-time dashboards Alert and notification systems User management and multi-tenancy
Stateless service design Message queue decoupling Database sharding strategies
Process data close to the source Reduce cloud bandwidth costs Enable offline operation Improve latency for critical operations
Device identity and authentication Encrypted communications (TLS/DTLS) Secure credential storage Regular security updates
IoTEngineering
IoT Architecture Patterns for Scale
AINative Studio•15 min•February 10, 2024
IoT Architecture Patterns for Scale
Building IoT systems that scale requires thoughtful architecture decisions from the start.
Core Architecture Components
1. Device Layer
2. Connectivity Layer
3. Data Processing Layer
4. Application Layer
Scalability Patterns
Horizontal Scaling
Edge Computing
Security Considerations
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