Mock sample for your project: Azure Action Groups 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, encryption keys, active directory administrator and configurations.

IP pool operation endpoints and objects.

Azure Application Insights client for saved items.

Use these REST APIs for performing operations on API entity and their Operations associated with your Azure API Management deployment.

Use these REST APIs for performing operations on Product entity associated with your Azure API Management deployment. The Product entity represents a product in API Management. Products include one or more APIs and their associated terms of use. Once a product is published, developers can subscribe to the product and begin to use the product’s APIs.

Use these REST APIs for performing operations on Quota entity associated with your Azure API Management deployment. To configure call rate limit and quota policies refer to how to configure call rate limit and quota.

Edge gateway operation endpoints and objects.

Use these REST APIs for performing operations on tenant entity associated with your Azure API Management deployment. Using this entity you can manage properties and configuration that apply to the entire API Management service instance.

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

Storage subsystem operation endpoints and objects.

Scale unit operation endpoints and objects.

Azure Blueprints Client provides access to blueprint definitions, assignments, and artifacts, and related blueprint operations.

Azure Cosmos DB Database Service Resource Provider REST API

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 Container Service Client.

Shared Image Gallery Service Client.

The Container Service Client.

Use these REST APIs for performing operations on Email Templates associated with your Azure API Management deployment.

Cognitive Services Management Client