345 helped a client build an Azure based telemetry ingestion and analytics service for a global mining, oil and gas organisation. The service used Azure IoT Hub to ingest telemetry and issue commands to mining equipment at the edge. It also fed an Elastic SQL Database store that could be used for real-time telemetry analysis through a web portal as well as a data warehouse to support machine learning experiments with Azure Machine Learning, such as predictive maintenance.
The application was built on a .NET C# microservice based pattern running on an Azure Service Fabric cluster, with a full end to end DevOps process for each microservice.
We have also demonstrated to the customer an intelligent edge service built around the pre-release of Azure IoT Edge running on Raspberry Pi’s.