Azure IoT Monitoring | Datadog

Azure IoT Monitoring

Monitor your Azure IoT environment to detect and troubleshoot issues quickly with Datadog.

Monitoring your Azure IoT environment is critical due to the complexities and dependencies of any IoT system. Issues can arise at all layers of the stack from the device itself to the application, server, network, and more. Datadog monitors the end-to-end performance of Azure IoT environments to ensure users can pinpoint the root cause of issues swiftly and understand fleet performance at scale.

 

Visualize Azure IoT performance immediately

Quickly monitor your systems with an out-of-box dashboard for Azure IoT Hub.
  • Track and analyze 100+ device health metrics for CPU, memory, disk, network I/O, and more
  • Get immediate insights with dozens of pre-built dashboards and turnkey integrations for popular Azure IoT services
  • Reduce false positives with actionable monitoring and high cardinality alerts on all devices

Gain full observability into your Azure IoT fleet

Get visibility from edge to cloud to monitor all layers of communication.
  • Collect performance metrics and logs from your Azure IoT-managed devices
  • Track whether devices are meeting reliability goals with Service Level Objectives
  • Correlate requests to the cloud with diagnostic logs to understand what devices may be sending invalid messages
Gain full observability into your Azure IoT fleet

Real time Azure IoT monitoring

Get visibility into all Azure backend services in a unified monitoring platform.
  • Get started quickly with dozens of built-in integrations and out-of-the-box dashboards for popular Azure services like Cosmos DB and App Services
  • Quickly identify the root cause of bottlenecks in processing and serving data from your devices
  • Datadog-generated metrics provide additional visibility into Azure resource counts and quota usage

Next-Generation Azure IoT Monitoring

Proactively monitor and troubleshoot issues quickly.

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Host and Container Maps

Visualize the status of your servers or containers in a single view.

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Synchronized Dashboards

Track incidents across metrics with a common tagging structure.

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Watchdog

Detect performance issues using machine learning.

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