Mock sample for your project: AutomationManagement API

Fabric location operation endpoints and objects.

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

The Data Migration Service helps people migrate their data from on-premise database servers to Azure, or from older database software to newer software. The service manages one or more workers that are joined to a customer's virtual network, which is assumed to provide connectivity to their databases. To avoid frequent updates to the resource provider, data migration tasks are implemented by the resource provider in a generic way as task resources, each of which has a task type (which identifies the type of work to run), input, and output. The client is responsible for providing appropriate task type and inputs, which will be passed through unexamined to the machines that implement the functionality, and for understanding the output, which is passed back unexamined to the client.

Deployment Admin Client.

Use this API to manage the IoT hubs in your Azure subscription.

Creates an Azure Data Lake Store account management client.

Microsoft Customer Engagement Fabric

Azure Application Insights client for Annotations for a component.

MAC address pool operation endpoints and objects.

AzureBridge Admin Client.

HyperDrive REST API

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

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

Alert operation endpoints and objects.

Amazon EventBridge Schema Registry

Azure Application Insights client for Continuous Export of a component.

Use these REST APIs for performing operations on the ApiVersionSet entity associated with your Azure API Management deployment. Using this entity you create and manage API Version Sets that are used to group APIs for consistent versioning.

Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These calls handle provider operations.

Amazon EC2 Auto Scaling Amazon EC2 Auto Scaling is designed to automatically launch or terminate EC2 instances based on user-defined scaling policies, scheduled actions, and health checks. For more information about Amazon EC2 Auto Scaling, see the Amazon EC2 Auto Scaling User Guide. For information about granting IAM users required permissions for calls to Amazon EC2 Auto Scaling, see Granting IAM users required permissions for Amazon EC2 Auto Scaling resources in the Amazon EC2 Auto Scaling API Reference.

AWS IoT Jobs is a service that allows you to define a set of jobs — remote operations that are sent to and executed on one or more devices connected to AWS IoT. For example, you can define a job that instructs a set of devices to download and install application or firmware updates, reboot, rotate certificates, or perform remote troubleshooting operations. To create a job, you make a job document which is a description of the remote operations to be performed, and you specify a list of targets that should perform the operations. The targets can be individual things, thing groups or both. AWS IoT Jobs sends a message to inform the targets that a job is available. The target starts the execution of the job by downloading the job document, performing the operations it specifies, and reporting its progress to AWS IoT. The Jobs service provides commands to track the progress of a job on a specific target and for all the targets of the job

Use these REST APIs for performing retrieve a collection of Apis associated with a tag in Azure API Management deployment.

Amazon Connect Customer Profiles Welcome to the Amazon Connect Customer Profiles API Reference. This guide provides information about the Amazon Connect Customer Profiles API, including supported operations, data types, parameters, and schemas. Amazon Connect Customer Profiles is a unified customer profile for your contact center that has pre-built connectors powered by AppFlow that make it easy to combine customer information from third party applications, such as Salesforce (CRM), ServiceNow (ITSM), and your enterprise resource planning (ERP), with contact history from your Amazon Connect contact center. If you're new to Amazon Connect , you might find it helpful to also review the Amazon Connect Administrator Guide.

Azure Application Insights client for Components.