Mock sample for your project: StorageManagementClient API

The Azure SQL Database management API provides a RESTful set of web services that interact with Azure SQL Database services to manage your external server administrators.

Use these REST APIs for performing operations on logger entity Azure API Management deployment.The Logger entity in API Management represents an event sink that you can use to log API Management events. Currently the Logger entity supports logging API Management events to Azure EventHub.

Azure Application Insights client for Continuous Export of a component.

MAC address pool operation endpoints and objects.

Logical network operation endpoints and objects.

The User Subscription Management Client.

Network admin operation endpoints and objects.

The Admin Backup Management Client.

IP pool operation endpoints and objects.

REST APIs for Azure Active Directory Connect Health

Alert operation endpoints and objects.

File share operation endpoints and objects.

Use the Control API to manage your applications, namespaces, keys, queues, rules, and more.
Detailed information on using this API can be found in the Ably developer documentation.
Control API is currently in Beta.

AzureBridge Admin Client.

The DevTest Labs Client.

The Azure Serial Console allows you to access the serial console of a Virtual Machine or VM scale set instance

The HDInsight Management Client.

The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.

The Microsoft Azure management API provides create, read, update, and delete functionality for Azure PostgreSQL resources including servers, databases, firewall rules, VNET rules, security alert policies, log files and configurations with new business model.

An API for QnAMaker Service

Use these APIs to manage Azure Front Door resources through the Azure Resource Manager. You must make sure that requests made to these resources are secure.

Microsoft Customer Engagement Fabric

Allows extension of ARM control plane with custom resource providers.