Mock sample for your project: SubscriptionDefinitionsClient API

Scale unit operation endpoints and objects.

The Azure management API provides a RESTful set of web services that interact with Azure Dedicated HSM RP.

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

Azure Enterprise Knowledge Graph Service is a platform for creating knowledge graphs at scale.

Use this REST API to get all the issues across an Azure Api Management service.

Creates an Azure Data Lake Store account management client.

Use these REST APIs for querying APIs. Operations and Products by tags in your Azure API Management deployment.

The Admin Backup Management Client.

Deployment Admin Client.

Azure Digital Twins Client for managing DigitalTwinsInstance

An AWS Elemental MediaStore container is a namespace that holds folders and objects. You use a container endpoint to create, read, and delete objects.

Amazon Kinesis Data Streams Service API Reference Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.

REST API for MarketplaceOrdering Agreements.

Resource Groups Tagging API

IoT Analytics allows you to collect large amounts of device data, process messages, and store them. You can then query the data and run sophisticated analytics on it. IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integration with Amazon QuickSight. Traditional analytics and business intelligence tools are designed to process structured data. IoT data often comes from devices that record noisy processes (such as temperature, motion, or sound). As a result the data from these devices can have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of other data from external sources. IoT Analytics automates the steps required to analyze data from IoT devices. IoT Analytics filters, transforms, and enriches IoT data before storing it in a time-series data store for analysis. You can set up the service to collect only the data you need from your devices, apply mathematical transforms to process the data, and enrich the data with device-specific metadata such as device type and location before storing it. Then, you can analyze your data by running queries using the built-in SQL query engine, or perform more complex analytics and machine learning inference. IoT Analytics includes pre-built models for common IoT use cases so you can answer questions like which devices are about to fail or which customers are at risk of abandoning their wearable devices.

Amazon AppStream 2.0 This is the Amazon AppStream 2.0 API Reference. This documentation provides descriptions and syntax for each of the actions and data types in AppStream 2.0. AppStream 2.0 is a fully managed, secure application streaming service that lets you stream desktop applications to users without rewriting applications. AppStream 2.0 manages the AWS resources that are required to host and run your applications, scales automatically, and provides access to your users on demand. You can call the AppStream 2.0 API operations by using an interface VPC endpoint (interface endpoint). For more information, see Access AppStream 2.0 API Operations and CLI Commands Through an Interface VPC Endpoint in the Amazon AppStream 2.0 Administration Guide. To learn more about AppStream 2.0, see the following resources: Amazon AppStream 2.0 product page Amazon AppStream 2.0 documentation

The Admin Compute Disk Management Client.

Suite of geospatial services including Maps, Places, Routes, Tracking, and Geofencing

Storage subsystem operation endpoints and objects.

The Admin Subscriptions Management Client.