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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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Introducing Azure monitoring with one-click Datadog deployment
2015-05-06 · via Datadog | The Monitor blog
Will Xu

Will Xu

Datadog now offers complete monitoring of your Microsoft Azure infrastructure and applications. Datadog can connect directly to Azure to pull in metrics via API, and the Datadog Agent is also available as an extension in the Azure Portal.

Connecting Azure with Datadog

Datadog has worked with the Azure Diagnostic Team to help you visualize and analyze your metrics from the cloud. You can connect Datadog to your Azure deployment within minutes with no impact on your infrastructure. To set up the integration, follow these instructions to create an Azure app, generate read-only credentials for the app, and enter those credentials in Datadog.

Azure config setup in Datadog

Once authenticated, Datadog will use the read-only API to access your Azure environment.

View your entire Azure infrastructure at a glance

Datadog is built for the cloud. Modern applications are distributed across multiple clusters of machines serving distinct roles. Instead of focusing on individual nodes, Datadog supports tagging and allows you to visualize them based on their function, such as web or database server, or physical attributes, such as location or instance size. This view can be accessed by clicking on Infrastructure -> Host map, or by going to this link directly.

Azure performance monitoring with One-Click Deployment through Datadog

You can learn more about Host Maps here.

In-depth metrics-based monitoring with the Datadog Agent

With this release, Datadog gathers detailed performance metrics at the infrastructure level using the newly-released Azure Diagnostics API. We also offer real-time visibility into the performance metrics of the building blocks of your application. Our Datadog Agent monitors services running in an instance, such as IIS and SQL Server, and can more broadly consume statistics exposed via the Windows Management Instrumentation (WMI).

Azure performance monitoring with One-Click Deployment through Datadog

One-click deployment through Azure extensions

Datadog now integrates with the Azure Extension Manager. This means the Datadog Agent is available within the Azure portal. You can deploy the Datadog Agent inside a Microsoft Azure VM with a click of a button, whether the VM runs Windows or Linux. To do this, go to the new Azure portal at http://portal.azure.com, select any virtual machine or create a new virtual machine, and add an Agent to the instance in one click.

Azure performance monitoring with One-Click Deployment through Datadog

Step-by-step instructions:

  1. Go to any new or existing virtual machine, click on “Settings”

  2. Go to Extensions->Add->Datadog

  3. Click “Create” and enter your API key

You can find your Datadog API key here.

See Azure metrics alongside the rest of your metrics

When you mix Microsoft Azure cloud monitoring with the broad range of integrations we provide, you gain deep insights into optimizing your application performance. Datadog provides over 1,000 built-in integrations to help you monitor various services across your stack.

Fully Hosted Solution

Datadog was built for the cloud, and works perfectly at any scale–whether you monitor 10 machines or 10,000. With Datadog, your infrastructure monitoring will be convenient, reliable, and stress-free.

If you’d like to test out the new integration, it’s available now. If you already have a Datadog account, you can set up the Microsoft Azure integration in minutes. And if you aren’t using Datadog yet, you can try it for free for 14 days.

Microsoft is a registered trademark and Azure is a trademark of Microsoft Corporation.