Mock sample for your project: WebApplicationFirewallManagement API

The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can also intelligently generate images thumbnails for displaying large images effectively.

Use these REST APIs for performing operations on OpenId Connect Provider entity associated with your Azure API Management deployment. API Management allows you to access APIs secured with token from OpenID Connect Provider to be accessed from the Developer Console.

ARM Databricks

Use these REST APIs for performing operations on Certificate entity in your Azure API Management deployment. Certificates can be used to setup mutual authentication with your Backend in API Management. For more information refer to How to secure backend using Mutual Auth Certificate.

Use these REST APIs for performing operations on tenant entity associated with your Azure API Management deployment. Using this entity you can manage properties and configuration that apply to the entire API Management service instance.

Azure Application Insights client for saved items.

Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These operations enable you to manage role definitions and role assignments. A role definition describes the set of actions that can be performed on resources. A role assignment grants access to Azure Active Directory users.

The Container Service Client.

Creates an Azure Data Lake Store filesystem client.

Azure Application Insights client for ProactiveDetection configurations of a component.

Describes the interface for the per-tenant enclave service.

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

Amazon Mobile Analytics is a service for collecting, visualizing, and understanding app usage data at scale.

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

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

Amazon OpenSearch Configuration Service Use the Amazon OpenSearch configuration API to create, configure, and manage Amazon OpenSearch Service domains. For sample code that uses the configuration API, see the Amazon OpenSearch Service Developer Guide. The guide also contains sample code for sending signed HTTP requests to the OpenSearch APIs. The endpoint for configuration service requests is region-specific: es. region.amazonaws.com. For example, es.us-east-1.amazonaws.com. For a current list of supported regions and endpoints, see Regions and Endpoints.

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

Use these REST APIs for performing operations to retrieve Products by Tags in Azure API Management deployment.

Amazon Kinesis Data Analytics is a fully managed service that you can use to process and analyze streaming data using Java, SQL, or Scala. The service enables you to quickly author and run Java, SQL, or Scala code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics.

The Azure Analysis Services Web API provides a RESTful set of web services that enables users to create, retrieve, update, and delete Analysis Services servers

Azure Service Bus client

Use these REST APIs for performing operations on NamedValue entity associated with your Azure API Management deployment. API Management policies are a powerful capability of the system that allow the publisher to change the behavior of the API through configuration. Policies are a collection of statements that are executed sequentially on the request or response of an API. Policy statements can be constructed using literal text values, policy expressions, and NamedValues. Each API Management service instance has a NamedValues collection of key/value pairs that are global to the service instance. These NamedValues can be used to manage constant string values across all API configuration and policies.

Azure Data Lake Storage provides storage for Hadoop and other big data workloads.

Provides operations for working with resources and resource groups.