Mock sample for your project: ApplicationInsightsManagementClient API

The Container Service Client.

This API exposes AI metric & event information and associated metadata

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

Use these REST APIs for getting the network connectivity status of your Azure API Management deployment. When the API Management service is deployed inside a Virtual Network, it needs to have access to other Azure resources it depends on. This also gives details about the DNS Servers visible to Azure API Management deployment.

The Admin Compute Disk Management Client.

Application operation results.

Use these REST APIs for performing operations on Backend entity in Azure API Management deployment. The Backend entity in API Management represents a backend service that is configured to skip certification chain validation when using a self-signed certificate to test mutual certificate authentication.

The Admin Backup Management Client.

Deployment Admin Client.

AzureBridge Admin Client.

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

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.

Fabric location operation endpoints and objects.

Application operation results.

The Admin Storage Management Client.

Volume operation endpoints and objects.

The Turbine Labs API provides CRUD operations for core object types, and is
mostly RESTy. The easiest way to interact with the API is with
tbnctl.
If you want to make direct HTTP calls, however, you can obtain an access
token using tbnctl, and then pass it in the Authorization header,
prefixed by Token :

Batch Using Batch, you can run batch computing workloads on the Cloud. Batch computing is a common means for developers, scientists, and engineers to access large amounts of compute resources. Batch uses the advantages of this computing workload to remove the undifferentiated heavy lifting of configuring and managing required infrastructure. At the same time, it also adopts a familiar batch computing software approach. Given these advantages, Batch can help you to efficiently provision resources in response to jobs submitted, thus effectively helping you to eliminate capacity constraints, reduce compute costs, and deliver your results more quickly. As a fully managed service, Batch can run batch computing workloads of any scale. Batch automatically provisions compute resources and optimizes workload distribution based on the quantity and scale of your specific workloads. With Batch, there's no need to install or manage batch computing software. This means that you can focus your time and energy on analyzing results and solving your specific problems.

Dev Spaces REST API