Ingestion. IoT Core, Device Management, rules to Lambda and Kinesis.
Edge. Greengrass components for local processing and store-and-forward.
Data. MSK, RDS, and time-series stores with retention that matches the questions you ask.
Insight. QuickSight and SageMaker where forecasting earns its keep.
Delivery. EC2, CloudFront, and IaC so environments are reproducible.
Identity at scale. IoT Hub with Device Provisioning Service and per-device credentials.
Streaming. Event Hub into Azure Functions for enrichment and routing.
Storage. Cosmos DB and PostgreSQL modelled for telemetry, not for demos.
Reporting. Power BI dashboards and scheduled operational summaries.
Hybrid. Coexistence with ThingsBoard or an existing on-prem platform.
Kafka, AWS Kinesis, and Python microservices moving data with backpressure handled properly.
InfluxDB, PostgreSQL, and Cassandra chosen on query patterns and retention cost.
Trendz Analytics and Power BI reports alongside operator dashboards.
Documented REST and MQTT interfaces so your product team can build on the platform.
Tech-stack evaluation is a service on its own. We will weigh your device volumes, existing contracts, and team skills before recommending anything.