Mock sample for your project: Microsoft Insights API

Integrate with "Microsoft Insights API" from azure.com in no time with Mockoon's ready to use mock sample

Microsoft Insights

azure.com

Version: 2018-04-16


Use this API in your project

Speed up your application development by using "Microsoft Insights API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and allow you to stop relying on an external API to get the job done. No more API keys to provision, accesses to configure or unplanned downtime, just work.
Enhance your development infrastructure by mocking third party APIs during integrating testing.

Description

Azure Monitor client to create/update/delete Scheduled Query Rules

Other APIs by azure.com

HybridDataManagementClient

azure.com

ApplicationInsightsManagementClient

azure.com
Azure Application Insights client for ProactiveDetection configurations of a component.

ApiManagementClient

azure.com
Use these REST APIs for performing operations on who is going to receive notifications associated with your Azure API Management deployment.

ADHybridHealthService

azure.com
REST APIs for Azure Active Directory Connect Health

Azure Bot Service

azure.com
Azure Bot Service is a platform for creating smart conversational agents.

MySQLManagementClient

azure.com
The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MySQL resources including servers, databases, firewall rules, VNET rules, security alert policies, log files and configurations with new business model.

ContainerServiceClient

azure.com
The Container Service Client.

Personalizer Client

azure.com
Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

ApiManagementClient

azure.com
Use these REST APIs to get the analytics reports associated with your Azure API Management deployment.

ContainerRegistryManagementClient

azure.com

Azure Alerts Management Service Resource Provider

azure.com
APIs for Azure Smart Detector Alert Rules CRUD operations.

Language Understanding Intelligent Service (LUIS) Endpoint API for running predictions and extracting user intentions and entities from utterances.

azure.com

Other APIs in the same category

NetworkManagementClient

azure.com
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.

AppServiceEnvironments API Client

azure.com

SeaBreezeManagementClient

azure.com
APIs to deploy and manage resources to SeaBreeze.

RedisManagementClient

azure.com
REST API for Azure Redis Cache Service.

SiteRecoveryManagementClient

azure.com

Security Center

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

Security Center

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

Security Center

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

Management Groups

azure.com
The Azure Management Groups API enables consolidation of multiple
subscriptions/resources into an organizational hierarchy and centrally
manage access control, policies, alerting and reporting for those resources.

Microsoft.ResourceHealth

azure.com
The Resource Health Client.

ApplicationClient

azure.com
ARM applications

FeatureClient

azure.com
Azure Feature Exposure Control (AFEC) provides a mechanism for the resource providers to control feature exposure to users. Resource providers typically use this mechanism to provide public/private preview for new features prior to making them generally available. Users need to explicitly register for AFEC features to get access to such functionality.