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Azure DevOps>Azure Pipelines>Datadog Service Hooks Integration for Azure DevOps
Datadog Service Hooks Integration for Azure DevOps

Datadog Service Hooks Integration for Azure DevOps

Datadog

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Send Azure DevOps Service Hooks to Datadog, the monitoring and analytics platform for modern cloud environments
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Datadog is the essential monitoring platform for cloud infrastructure, applications, and logs. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams communicate, troubleshoot performance issues, and ensure customers are getting the best user experience with a single monitoring tool.

Not using Datadog yet? Learn more or get started today with a 14 day free trial!

How It Works:

This integration allows you to configure service hooks from Azure DevOps events. These are ingested into Datadog as new events that can be used for correlation, troubleshooting, and alerting. We also use them to create metrics in Datadog so you can track and alert on the number of different events types over time, as well as how long builds and work items take to complete.

Correlate your Azure DevOps events with monitoring data from the rest of your environment for improved visibility into how your developer operations are impacting application performance.

Use the Out-of-the-box dashboard for an overview of what's happening in Azure DevOps.

Dashboards

See builds and releases in context with performance data.

Troubleshoot

Create monitors to get notified on critical issues.

Alerts

Share what you saw, write what you did.

Communicate

And with 350+ integrations, including dozens of the most popular Azure and Microsoft services, you can have full visibility into your entire stack in one platform.

Other Resources:

In addition to this integration, we also have the Datadog Monitors as Deployment Gates extension that enables you to stop problematic deployments in their tracks automatically.

For more information about using Datadog and Azure DevOps together, check out our blog and documentation.

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