Challenges & Solutions
Challenges
- Millions of IoT sensors across city infrastructure need unified management
- Traffic optimisation must respond in real time to congestion events
- Citizen data privacy laws (GDPR/CCPA) apply to all public services
- Legacy city systems need integration without complete replacement
CloudFormation Solves
- IoT Core fleet management for millions of city sensors via Terraform
- Kinesis → SageMaker for real-time traffic flow ML optimisation
- Lake Formation for cross-agency data sharing with consent governance
- Greengrass edge for local processing — resilient during network outages
Architecture Patterns
1
City IoT Platform
IoT Core for millions of sensors. Device management with OTA firmware. Greengrass edge for resilience during network outages.
2
Traffic Management
Traffic sensor → Kinesis → SageMaker optimisation model → traffic light controller API. Green wave reduces journey times 20%.
3
Citizen Services
API Gateway portal. Lambda microservices per city service. Cognito digital identity. DynamoDB service requests. SNS notifications.
4
Urban Digital Twin
IoT TwinMaker for city-scale digital twin. Real-time sensor sync. PostGIS on Aurora for GIS. CesiumJS 3D city visualisation.
Business Outcomes
20%
Traffic flow improvement
Millions
IoT sensors managed
Real-time
City analytics
GDPR
Citizen data protected
Supported Cloud Providers
AWS
Azure
GCP
IBM Cloud
Oracle Cloud
Kubernetes
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