Mock sample for your project: PeeringManagementClient API

The Admin Subscriptions Management Client.

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.

The Admin Storage Management Client.

Network admin operation endpoints and objects.

This API describe ACE Provisioning ManagementPartner

Azure Application Insights client for selecting pricing plans and options.

Storage pool operation endpoints and objects.

The DevTest Labs Client.

Apis for customer in enterprise agreement migrate to new pricing model or rollback to legacy pricing model.

AWS Snow Family is a petabyte-scale data transport solution that uses secure devices to transfer large amounts of data between your on-premises data centers and Amazon Simple Storage Service (Amazon S3). The Snow commands described here provide access to the same functionality that is available in the AWS Snow Family Management Console, which enables you to create and manage jobs for a Snow device. To transfer data locally with a Snow device, you'll need to use the Snowball Edge client or the Amazon S3 API Interface for Snowball or AWS OpsHub for Snow Family. For more information, see the User Guide.

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

API to Add/Remove/List Guest Diagnostics Configuration to Azure Resources

The Container Service Client.

These APIs allow end users to operate on Azure Machine Learning Team Account resources. They support CRUD operations for Azure Machine Learning Team Accounts.

The Azure Data Catalog Resource Provider Services API.

The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can discover incidents and establish a logic flow for root cause analysis.

This Swagger was generated by the API Framework.

APIs to manage web application firewall rules for Azure CDN

Creates an Azure Data Lake Analytics job client.