Mock sample for your project: MonitorManagementClient API

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.

To manage and control access to your resources, you can define customized policies and assign them at a scope.

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

Client that can be used to manage and query indexes and documents, as well as manage other resources, on a search service.

API spec for Microsoft.Security (Azure Security Center) resource provider

Microsoft Azure Quota Resource Provider.

API spec for Microsoft.Security (Azure Security Center) resource provider

Use these REST APIs for performing retrieving a collection of policy snippets available in Azure API Management deployment.

The SAP HANA on Azure Management Client.

Use these REST APIs for performing operations on User entity in Azure API Management deployment. The User entity in API Management represents the developers that call the APIs of the products to which they are subscribed.

Edge gateway operation endpoints and objects.

Shared Image Gallery Service Client.

API spec for Microsoft.Security (Azure Security Center) resource provider

This Swagger was generated by the API Framework.

The HDInsight Job Client.

Azure Cosmos DB Database Service Resource Provider REST API

APIs to manage web application firewall rules for Azure CDN

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.

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

An API for face detection, verification, and identification.

These APIs allow end users to manage Azure Machine Learning Models, Images, Profiles, and Services.

The Container Service Client.