All Azure cloud services
Dynatrace can receive Azure Monitor metrics for multiple preselected services.
You can view graphs per service instance, with a set of dimensions, and create custom graphs that you can pin to your dashboards.
You can reduce your Azure Monitor costs and throttling by selecting which additional services to monitor.
For non-built-in services, you can choose which metrics to monitor.
Azure cloud services monitored by default
As a result of Azure monitoring integration, some services are monitored out-of-the-box.
- Azure API Management Service Azure Application Gateways (built-in) Azure Application Service (built-in) Azure Cosmos Database (built-in) Azure Events Hub (built-in) Azure Iot Hub (built-in) Azure Load Balancers (built-in) Azure Redis Cache (built-in) Azure Service Bus (built-in) Azure Sql Servers (built-in) Azure Virtual Machines (built-in) Azure Storage Account
For information about differences between built-in services and other services, see Migrate from Azure built-in services to cloud services.
Other Azure cloud services
Apart from cloud services monitored by default, you can also monitor other Azure services that affect the performance of your Azure-hosted applications.
- Azure API Management Services (built-in) (deprecated) Azure Container App Azure Container Apps Environment Azure Cache for Redis Azure IoT Hub Azure Cosmos DB Account (GlobalDocumentDB) Azure Cosmos DB Account (MongoDB) Azure Application Gateway Azure Basic Load Balancer Azure Gateway Load Balancer Azure Standard Load Balancer Azure SQL Server Azure SQL Database (DTU) Azure SQL Database (vCore) Azure SQL Elastic Pool (vCore) Azure SQL Elastic Pool (DTU) Azure Storage Accounts (built-in) Azure App Configuration
Configuration API
To list all Azure-supported services on your cluster by the current version, use the Azure-supported services API.
Monitoring consumption
All cloud services consume DDUs. The amount of DDU consumption per service instance depends on the number of monitored metrics and their dimensions.
Each metric dimension results in the ingestion of 1 data point
1 data point consumes 0.001 DDUs