Cloud Integration
Device-to-cloud pipelines, telemetry, dashboards, and alerts.
Focus
Reliable telemetry
Strength
Clean pipelines + dashboards
Delivery
Maintainable integrations
Description
I help you connect embedded devices to cloud services with secure telemetry, reliable data pipelines, and dashboards that make field behavior visible. From MQTT topics and payload design to storage, APIs, and alerting—I focus on clean architecture and maintainability.
Cloud pipeline
Step 1
Device Auth
Step 2
Ingestion
Step 3
Storage
Step 4
Dashboards
Top 6 Projects from 25+ builds
Direct Edge MQTT Ingestion to RDS
Edge devices publish MQTT telemetry to a cloud service that validates and writes structured records into AWS RDS.
Gateway Aggregation + Batching
A local gateway aggregates multiple edge nodes, batches payloads, and publishes optimized MQTT messages to the cloud for storage in AWS RDS.
AWS IoT Core Rules → Service → RDS
Devices publish to AWS IoT Core; rules route messages to processing services that transform and persist data into AWS RDS.
Offline-First Store-and-Forward (Reliable Telemetry)
Edge buffers telemetry locally during outages and replays MQTT messages when the network returns, ensuring complete storage in AWS RDS.
Real-Time Dashboard + Historical RDS (Dual Path)
MQTT data powers real-time dashboards while a parallel pipeline stores normalized history into AWS RDS for reporting and audits.
Multi-Tenant MQTT Ingestion Platform (SaaS Style)
A multi-tenant ingestion platform separates customer data by MQTT topics/claims and stores tenant-isolated records in AWS RDS.