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End-to-End Visibility for Your Entire Azure Environment

Easily monitor the health of your entire cloud infrastructure in one place. See for yourself why 8,800+ companies trust Datadog. Start your trial today, build a dashboard, and we’ll send you a free Datadog t-shirt!

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400+ Turn-Key Integrations, Including

Product Benefits

Monitor Your Entire Azure Infrastructure More Effectively

  • See inside any stack, any app, anywhere, at any scale with Datadog's 400+ vendor-backed integrations
  • Get started monitoring in minutes with auto-discovery for Azure services such as CosmosDB, Service Bus, and AKS, among many others
  • Visualize the performance of all your Azure cloud services, on-premise servers, VMs, databases, containers, and .NET apps in real time with customizable, drag-and-drop dashboards

Resolve Azure Performance Issues Faster

  • Easily identify bottlenecks, errors, heavy traffic issues, slow-running queries, and more with end-to-end application tracing, latency breakdowns, stack traces, a real-time service map, and flame graphs highlighting errored requests
  • Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including availability, response times, reliability, error rates, and throughput
  • Get even deeper observability into your Azure environment with the ability to generate additional Azure metrics through Datadog’s agent

Enhance Operational Efficiency

  • Improve collaboration across teams with workflow integrations such as AzureDevOps, Slack, and Jira
  • Easily access and work off the same datasets in Datadog’s platform with intuitive tag filtering, custom dashboards, and publicly-shareable links that help break down information silos across departments

Improve Business Continuity and Reduce Downtime

  • Easily verify that your services maintain high availability through dashboard reporting, self-maintaining browser tests, and App Analytics at infinite cardinality
  • Deploy new code into production more safely with:
    • 400+ integrations including Jenkins, Spinnaker, and Pagerduty
    • Webhooks to trigger automatic rollbacks
    • Event overlays on time series graphs to correlate deployments to metric spikes

Ensure Optimal Performance with Alerts Powered by Machine-Learning

  • Track all key service-level indicator metrics in real time with the SLO widget
  • Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
  • Proactively prevent outages and errors by alerting on metric forecasts or specific data thresholds
  • Eliminate false-positives and leverage AI-powered alerts that account for daily, weekly, and seasonal fluctuations or cascading event failures

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