Mock sample for your project: Microsoft.ResourceHealth API

Service Map API Reference

Use these REST APIs for performing operations on Global Policies in Azure API Management deployment.

Azure Maintenance Management Client

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

Azure Application Insights client for web test based alerting.

Azure Log Analytics API reference for management of saved Queries within Query Packs.

The HDInsight Management Client.

Azure DevOps Resource Provider

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.

Creates an Azure Data Lake Analytics job client.

The Azure Data Catalog Resource Provider Services API.

Use this API to manage the Windows IoT device services in your Azure subscription.

Azure Application Insights client for web test based alerting.

Dev Spaces REST API

Amazon Lex Build-Time Actions Amazon Lex is an AWS service for building conversational voice and text interfaces. Use these actions to create, update, and delete conversational bots for new and existing client applications.

Azure Bot Service is a platform for creating smart conversational agents.

Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These operations enable you to get deny assignments. A deny assignment describes the set of actions on resources that are denied for Azure Active Directory users.