Mock sample for your project: EngagementFabric API

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

Azure Event Hubs client

Creates an Azure Data Lake Store account management client.

This API describe ACE Provisioning ManagementPartner

The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB resources including servers, databases, firewall rules, VNET rules, security alert policies, log files, encryption keys, active directory administrator and configurations.

Creates a Microsoft.DataShare management client.

Azure Log Analytics API reference for management of saved Queries within Query Packs.

The Hybrid Compute Management Client.

HyperDrive REST API

Logical network operation endpoints and objects.

This Swagger was generated by the API Framework.

The FinSpace APIs let you take actions inside the FinSpace environment.

This is the Amazon Lookout for Vision API Reference. It provides descriptions of actions, data types, common parameters, and common errors. Amazon Lookout for Vision enables you to find visual defects in industrial products, accurately and at scale. It uses computer vision to identify missing components in an industrial product, damage to vehicles or structures, irregularities in production lines, and even minuscule defects in silicon wafers — or any other physical item where quality is important such as a missing capacitor on printed circuit boards.

IP pool operation endpoints and objects.

AWS Fault Injection Simulator is a managed service that enables you to perform fault injection experiments on your AWS workloads. For more information, see the AWS Fault Injection Simulator User Guide.

The Admin Compute Disk Management Client.

Edge gateway operation endpoints and objects.

Deployment Admin Client.

The REST API specification for Ably.

Compute Optimizer is a service that analyzes the configuration and utilization metrics of your Amazon Web Services compute resources, such as Amazon EC2 instances, Amazon EC2 Auto Scaling groups, Lambda functions, and Amazon EBS volumes. It reports whether your resources are optimal, and generates optimization recommendations to reduce the cost and improve the performance of your workloads. Compute Optimizer also provides recent utilization metric data, in addition to projected utilization metric data for the recommendations, which you can use to evaluate which recommendation provides the best price-performance trade-off. The analysis of your usage patterns can help you decide when to move or resize your running resources, and still meet your performance and capacity requirements. For more information about Compute Optimizer, including the required permissions to use the service, see the Compute Optimizer User Guide.