IoT – AWS Greengrass

OneData Software’s IoT – Greengrass offering brings cloud intelligence to the edge, allowing IoT devices to operate autonomously, process data locally, and respond to events in real time—even in environments with intermittent connectivity. Built on AWS IoT Greengrass, this solution is ideal for industries that require low-latency analytics, secure device governance, and scalable fleet-wide automation.

⚙️ Core Capabilities

Edge Computing Architecture • Deploy Greengrass Core on gateways, sensors, and industrial devices • Run AWS Lambda functions, Docker containers, and ML models locally • Support heavy compute workloads and stream processing at the edge • Reduce cloud dependency by filtering and aggregating telemetry, video, and sensor data before transmission

Real-Time Data Processing & ML Inference • Enable anomaly detection, predictive maintenance, and precision agriculture directly on devices • Use Stream Manager for data caching and synchronization • Integrate with Amazon SageMaker, Kinesis, and IoT Analytics for centralized insights

Modular Component Management • Build and deploy modular components using Greengrass V2 • Manage over-the-air updates without firmware changes • Orchestrate deployments across large IoT fleets with version control and rollback support

Security & Governance • Implement mutual authentication, IAM roles, and device identity management • Secure communication via MQTT, TLS, and encryption protocols • Monitor device behavior with AWS IoT Device Defender • Support hardware root of trust and secure element integration

Offline Operation & Resilience • Devices continue functioning during cloud outages • Local decision-making ensures uninterrupted operations • Ideal for remote or bandwidth-constrained environments like agriculture, logistics, and industrial sites

Edge-to-Cloud Integration • Seamlessly connect edge outputs to cloud pipelines • Enable centralized dashboards, alerts, and analytics • Optimize bandwidth usage and reduce cloud processing costs

Industry Use Cases • Agriculture: Soil monitoring, irrigation control, autonomous field operations • Manufacturing: Equipment health tracking, predictive maintenance • Healthcare: Remote patient monitoring, edge-based diagnostics • Logistics & Automotive: Fleet tracking, condition monitoring, route optimization

Managed Services & Support • Architecture design and deployment • Component lifecycle management and updates • Continuous monitoring, optimization, and governance dashboards