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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - 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Monitor Azure Service Health events with Datadog
2021-04-06 · via Datadog | The Monitor blog

Azure Service Health continuously notifies you of issues that may affect the availability of your environment, such as service incidents, planned maintenance periods, or regional outages.

We’ve recently enhanced our Azure integration to include additional support for monitoring Service Health issues, enabling you to keep tabs on the health of your Azure environment and take proactive measures to mitigate downtime. Within minutes of setting up the integration, you’ll see rich, contextual Service Health events appear within your event stream, where you can monitor and correlate them with data from more than 1,000 infrastructure technologies (including other Azure services), all in one place.

Get a cohesive view of Azure Service Health issues

When a new issue is identified, Azure reports an Azure Service Health event indicating the nature of the problem and affected resources and regions. Azure then continuously updates the status of the issue via a series of events until it is finally resolved.

With Datadog, you can clearly monitor every stage of Service Health issues within our event stream under the “Azure Service Health” namespace. Datadog collects these events automatically for all subscriptions being monitored with our Azure integration. You’ll see each issue cohesively grouped by its Tracking ID, enabling you to get full visibility into its current status and progression, from start to finish. This makes it easier for you to keep track of high-priority issues and follow up on their progress.

Monitor Azure Service Health events in the Datadog event stream.

The Azure Events API provides valuable metadata around each Service Health event. Datadog automatically converts this metadata into key:value tags that you can use to easily filter and search through all your events. To point out a few:

  • service: The impacted Azure service(s) (e.g., Azure Virtual Machines)
  • status: The status of the event (i.e., active or resolved)
  • region: The impacted Azure region(s) (e.g., US East, Global)
  • incident_type: The type of Service Health event (ServiceIssue, PlannedMaintenance, SecurityAdvisory, HealthAdvisory)
  • level: The severity level of the event (i.e., informational, warning, or critical)

In addition to these tags, each Azure Service Health event includes a description that captures the essence of the issue from the perspective of the Azure engineers investigating the problem. Some events may also contain mitigation steps for addressing the issue and reducing its impact.

Use monitors to proactively track Azure Service Health issues

Once you are capturing Azure Service Health events with Datadog, you can set up event monitors to get notified when a specific type of Azure Service Health issue occurs, using string matching, tags, and more to narrow down the scope. For example, you could use the “Azure Service Health” source and a few tags (status:active, incident_type:serviceissue) to quickly create a monitor that will notify you if any of your Azure services has an active issue. This will help you keep consistent tabs on your mission-critical Azure services and regions—and you won’t have to worry about constantly refreshing an events feed.

Set up an event monitor to notify you if any of your Azure services has an active issue detected through Azure Service Health Monitoring with Datadog.

Scheduled maintenance events can be extremely annoying if you failed to prepare in advance to offset the performance and availability decline. Now, you can create event monitors to immediately alert you of an upcoming maintenance session, so you can proactively make adjustments to your sprint plans and engineering commitments without missing a beat in productivity.

Set up an event monitor in Datadog to alert on Azure Service Health events and stay informed about planned maintenance sessions.
Set up an event monitor in Datadog to alert on Azure Service Health events and stay informed about planned maintenance sessions.

Use Service Health issues to enrich your dashboards

Dashboards help you visualize the state of your infrastructure—but it can sometimes be difficult to fully understand the data displayed in your graphs if you don’t have the added context of what is taking place behind the scenes. With Azure Service Health events in Datadog, you can easily overlay them on graphs to get helpful context for interpreting unusual trends in your metrics and troubleshooting issues.

You can overlay Service Health events on top of mission-critical metrics within your favorite dashboards. In the example below, we are using event overlays to correlate Azure Service Health events with the status of your Azure Virtual Machines. This can help you understand how a single Service Health event, such as a network outage, has affected the status of your entire cloud environment.

You can monitor Azure Service Health events in context with metrics by overlaying them on your Azure dashboards in Datadog.

Get started with Azure Service Health monitoring

If you’re already using the Azure integration, you should automatically have access to these enhancements—navigate to the event stream and filter for the “Azure Service Health” namespace to see your Azure Service Health events. Otherwise, install Datadog’s Azure integration on the integrations page to start monitoring Azure Service Health events.

If you don’t yet have a Datadog account, sign up for a 14-day free trial to get complete visibility into the health of your Azure environment.