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Azure Cloud Platform Monitoring

  • Latest Dynatrace
  • Explanation

Our latest evolution in cloud observability delivers a seamless experience for acquiring diverse Azure cloud telemetry regardless of scale or speed.

Built natively on the Grail™ data lakehouse, this solution ensures that all ingested telemetry is stored efficiently and made available, powered by the Dynatrace software intelligence platform.

Apps like Clouds Clouds can then leverage this rich data and metadata to deliver contextual visualizations, preconfigured health alerts, and ready-to-use dashboards.

Ingest metrics, logs, topology, and events to unlock actionable insights within minutes.

Onboarding & lifecycle management

Onboard your Azure subscriptions and turn them into native Dynatrace Azure connections, managing them from a dedicated Clouds Clouds app, holistically.

  • Easily create an Azure connection using a streamlined user interface.
  • Dynatrace administrators can define monitoring configurations and delegate deployment to Azure administrators—either via UI or programmatically—supporting clear separation of duties.
  • Manage all your Azure connections from a single, unified UX pane. Configure monitoring settings and easily track connection health continuously.

Eliminate heavy lifting

The new Azure Cloud Platform Monitoring is fully managed by Dynatrace SaaS—no need to deploy ActiveGate compute resources for metric polling within your Azure environment.

This simplifies setup and operations, delivering a frictionless, cloud-native monitoring experience.

Enriched telemetry for powerful cloud insights

Ingested telemetry signals (metrics, logs, topology, events) are transformed and enriched with cloud-native metadata (for example, Azure tags, subscription ID). Enriched signals enable:

  • Attribute-based filtering by querying via DQL
  • Azure tag-driven conditional notifications
  • Source-level enrichment with security context for fine-grained access control
  • Data segmentation by cloud attributes (for example, Azure subscription ID) for scoped views

Azure topology

Topology service periodically scans Azure environments to build a dynamic inventory of resources, enriched with detailed metadata.

Visualize all discovered resources and metadata directly in Clouds Clouds and leverage DQL to:

  • Identify idle resources or unattached Azure managed disks.
  • Identify idle Virtual Machine utilization across all your Azure environments.
  • Perform advanced queries using cloud attributes.

For further details, see Azure topology.

Azure metrics

Our metrics strategy allows the polling of any Azure Monitor native platform metric for any service.

  • Choose from existing metric collection sets for Azure services; these are curated by our cloud engineers–optimal starting point.
  • Enable Auto-discovery and collection of all available metrics for an Azure service.
  • Choose the Azure regions that our metric poller should poll from.

For details, see Azure metrics.

Azure logs

With SaaS-based log ingest via Azure Event Hubs, you can:

  • Forward Azure activity logs, resource logs, Microsoft Entra ID audit logs, and Microsoft Defender for Cloud alerts to Dynatrace without hosting custom function code.
  • Route incoming logs using OpenPipeline for flexible processing.
  • Transform and enrich supported log sources with cloud metadata (for example, Azure tags, subscription ID).
  • View logs in context within Clouds Clouds.

For details, see Forward Azure logs.

Azure events

Event-driven integration via Azure Event Grid

  • Subscribe Azure resources to Event Grid system topics and forward resource lifecycle events such as blob creation and deletion, resource group changes, and service health alerts to Dynatrace.
  • Forward Azure Monitor Alerts to Dynatrace.
  • Visualize events in context within Clouds Clouds, linked to the affected Azure resource.
  • Define workflows triggered by specific event types or payloads to automate corrective actions based on event content.

For details, see Azure events.

Next steps

Manage all telemetry in context using Clouds Clouds—define alerts, drill down into specific data points, search and filter for resources.

For further details, see Clouds app.

Related tags
Infrastructure Observability