Mock sample for your project: SqlManagementClient API

Load balancer admin operation endpoints and objects.

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.

The User Subscription Management Client.

The Admin Storage Management Client.

The Container Service Client.

Shared Image Gallery Service Client.

The Admin Storage Management Client.

The Disk Resource Provider Client.

Update run operation endpoints and objects.

Storage system operation endpoints and objects.

This Swagger was generated by the API Framework.

Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in AWS. Macie automates the discovery of sensitive data, such as PII and intellectual property, to provide you with insight into the data that your organization stores in AWS. Macie also provides an inventory of your Amazon S3 buckets, which it continually monitors for you. If Macie detects sensitive data or potential data access issues, it generates detailed findings for you to review and act upon as necessary.

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

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

API spec for Microsoft.SecurityInsights (Azure Security Insights) resource provider

Microsoft NetApp Azure Resource Provider specification

Public IP Address admin endpoints and objects.

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

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 manage role assignments. A role assignment grants access to Azure Active Directory users.

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

AWS IoT Events monitors your equipment or device fleets for failures or changes in operation, and triggers actions when such events occur. You can use AWS IoT Events API operations to create, read, update, and delete inputs and detector models, and to list their versions.