Mock sample for your project: RecoveryServicesClient API

Storage subsystem operation endpoints and objects.

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.

Fabric location operation endpoints and objects.

Application operation results.

Alert operation endpoints and objects.

Azure Application Insights client for work item configurations for a component.

The Admin Commerce Management Client.

The service for managing third party addons.

Use these REST APIs for performing operations on Subscription entity associated with your Azure API Management deployment. The Subscription entity represents the association between a user and a product in API Management. Products contain one or more APIs, and once a product is published, developers can subscribe to the product and begin to use the product’s APIs.

The Admin Subscriptions Management Client.

Deployment Admin Client.

Use these REST APIs for performing operations on Tag entity in your Azure API Management deployment. Tags can be assigned to APIs, Operations and Products.

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

Azure Application Insights client for web test based alerting.

AzureBridge Admin Client.

Use these REST APIs for performing operations on logger entity Azure API Management deployment.The Logger entity in API Management represents an event sink that you can use to log API Management events. Currently the Logger entity supports logging API Management events to Azure EventHub.

Provides AWS Marketplace business intelligence data on-demand.

Recovery Control Configuration API Reference for Amazon Route 53 Application Recovery Controller

Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service.

Kinesis Video Streams Signaling Service is a intermediate service that establishes a communication channel for discovering peers, transmitting offers and answers in order to establish peer-to-peer connection in webRTC technology.

The service for managing third party addons.

The transactional data APIs for Amazon QLDB Instead of interacting directly with this API, we recommend using the QLDB driver or the QLDB shell to execute data transactions on a ledger. If you are working with an AWS SDK, use the QLDB driver. The driver provides a high-level abstraction layer above this QLDB Session data plane and manages SendCommand API calls for you. For information and a list of supported programming languages, see Getting started with the driver in the Amazon QLDB Developer Guide. If you are working with the AWS Command Line Interface (AWS CLI), use the QLDB shell. The shell is a command line interface that uses the QLDB driver to interact with a ledger. For information, see Accessing Amazon QLDB using the QLDB shell.

AWS Mobile Service provides mobile app and website developers with capabilities required to configure AWS resources and bootstrap their developer desktop projects with the necessary SDKs, constants, tools and samples to make use of those resources.

Amazon CloudWatch monitors your Amazon Web Services (Amazon Web Services) resources and the applications you run on Amazon Web Services in real time. You can use CloudWatch to collect and track metrics, which are the variables you want to measure for your resources and applications. CloudWatch alarms send notifications or automatically change the resources you are monitoring based on rules that you define. For example, you can monitor the CPU usage and disk reads and writes of your Amazon EC2 instances. Then, use this data to determine whether you should launch additional instances to handle increased load. You can also use this data to stop under-used instances to save money. In addition to monitoring the built-in metrics that come with Amazon Web Services, you can monitor your own custom metrics. With CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.