Mock sample for your project: Diagnostics API Client

The Container Service Client.

These APIs allow end users to operate on Azure Machine Learning Workspace resources.

Azure EventGrid Management Client

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

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

The Microsoft Azure ExpressRouteCrossConnection Resource Provider REST APIs describes the operations for the connectivity provider to provision ExpressRoute circuit, create and modify BGP peering entities and troubleshoot connectivity on customer's ExpressRoute circuit.

REST API for Azure Server Management Service.

The Managed Service Identity Client.

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.

Azure NotificationHub client

Deployment Admin 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.

Streaming resource management client for Azure Media Services

These APIs allow end users to operate on Azure Machine Learning Commitment Plans resources and their child Commitment Association resources. They support CRUD operations for commitment plans, get and list operations for commitment associations, moving commitment associations between commitment plans, and retrieving commitment plan usage history.

Dev Spaces REST API

Microsoft.Intune Resource provider Api features in the swagger-2.0 specification

APIs to manage web application firewall rules for Azure CDN

Client that can be used to manage Azure Cognitive Search services and API keys.

ARM applications

Provides create, read, update, delete, and failover functionality for Azure SQL Database disaster recovery configurations.