Mock sample for your project: DomainRegistrationProvider API Client

The Admin Backup Management Client.

AzureBridge Admin Client.

The Microsoft Azure Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to manage your network resources. The API has entities that capture the relationship between an end user and the Microsoft Azure Networks service.

The Resource Health Client.

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.

Azure Resource Graph API Reference

Azure Monitor API reference for Private Links Scopes management.

Migrate your workloads to Azure.

Azure Log Analytics API reference

Provides operations for working with resources and resource groups.

Use these REST APIs for performing operations on Global Policies in Azure API Management deployment.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

Amazon Web Services S3 Control provides access to Amazon S3 control plane actions.

Deployment Admin Client.

The Admin Subscriptions Management Client.

API for AWS Elemental MediaConnect

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

Amazon Macie Classic Amazon Macie Classic is a security service that uses machine learning to automatically discover, classify, and protect sensitive data in AWS. Macie Classic recognizes sensitive data such as personally identifiable information (PII) or intellectual property, and provides you with dashboards and alerts that give visibility into how this data is being accessed or moved. For more information, see the Amazon Macie Classic User Guide.

Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.

Amazon Kendra is a service for indexing large document sets.