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Remote Monitoring solution

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1 Remote Monitoring solution
Remote Monitoring IoT solution for the enterprise with geographically dispersed data sources What to look for Target this solution approach to customers that are looking to collect basic telemetry from their devices for analysis Architecture Solution and reference architectures

2 Remote Monitoring Remote Monitoring IoT solution for the enterprise with geographically dispersed data sources Azure IoT enables enterprise to connect and monitor its devices to provide deeper insights and improve business outcomes through aggregated data access from multiple sources combined with intelligent analytics. This solution is built on the following Azure managed services: Azure IoT Suite, IoT Hub, Stream Analytics, Event Hub, DocumentDB, Azure Blobs, Azure Tables, Azure SQL, Azure Data Lake, HDInsight, PowerBI. These services run in a high availability environment, patched and supported, allowing you to focus on your solution vs. the environment to run them in.

3 Remote monitoring-driven retail transformation
Efficiency Improve efficiency by tracking inventory location and shipping status end-to-end to maintain on-shelf availability and reduce out-of-stock situations. Innovation Facilitate innovation by dynamically managing digital promotions tailored to specific audiences. Targeting Integrate data sources to determine the most productive merchandising treatments within stores.

4 Target this solution approach to customers that are looking to collect basic telemetry from their devices for analysis As data streams are uploaded into the Azure cloud, analytics can be processed in near real time. Data can be stored in unstructured (blob) or structured format. Users log into the solution via a website to view and analyze the data using PowerBI. This solution becomes the basis for the next phase of IoT such as predicative analytics and command and control of the devices

5 Solution Reference Architecture
On Premise Microsoft Cloud Services Machine Learning Web / MobileApp (App Service) 8 7 Power BI Remote Monitoring Dashboard Long term store 5 6 Devices, Sensors, Actuators Azure Data Lake 10 01 Storage blob Storage (Azure) DocumentDB Devices IoT Field Gateway IoT Device Library 1 Stream Analytics Business Integration Connectors and Gateways IoT Protocol Gateway IoT Device Library IoT Hub Event Hub WebJobs (App Service) Logic App 2 3 4

6 Reference Architecture
IoT Hub manages the two-way communication between the cloud and devices Stream Analytics creates and manages jobs to recognize threshold values or detect alarm triggers Event Hub is queried by Web Job running an event processor host to determine where an alarm or alert needs to be pushed to Logic Apps are used to create more complex workloads to backend systems Document DB stores all device registry information Output of stream analytics is commonly a permanent storage location in Azure Blobs, Azure Tables, Azure SQL, Azure Data Lake, HDInsight Hbase Web App can be used as the monitoring dashboard PowerBI and Machine Learning can access the long term store for visualization and processing for Advanced Analytics 1 2 3 4 5 6 7 8

7 Pricing Calculator To calculate an estimated price for this reference architecture go to the Microsoft Azure Pricing Calculator

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