Mock sample for your project: AutomationManagement API

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

AutomationManagement

azure.com

Version: 2017-05-15-preview


Use this API in your project

Speed up your application development by using "AutomationManagement 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

Other APIs by azure.com

Azure Media Services

azure.com
This Swagger was generated by the API Framework.

StorageManagementClient

azure.com
The Admin Storage Management Client.

ContainerRegistryManagementClient

azure.com

AuthorizationManagementClient

azure.com
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.

SharedImageGalleryServiceClient

azure.com
Shared Image Gallery Service Client.

RunCommandsClient

azure.com
The Run Commands Client.

FabricAdminClient

azure.com
Scale unit operation endpoints and objects.

GuestConfiguration

azure.com

StorageManagementClient

azure.com
The Admin Storage Management Client.

azureactivedirectory

azure.com
Azure Active Directory Client.

FabricAdminClient

azure.com
The Admin Fabric Management Client.

DeploymentAdminClient

azure.com
Deployment Admin Client.

Other APIs in the same category

Anomaly Detector Client

azure.com
The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.

Azure Media Services

azure.com
This Swagger was generated by the API Framework.

ManagedNetworkManagementClient

azure.com
The Microsoft Azure Managed Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to programmatically view, control, change, and monitor your entire Azure network centrally and with ease.

ContainerRegistryManagementClient

azure.com

ComputeManagementClient

azure.com
The Compute Management Client.

DataLakeAnalyticsCatalogManagementClient

azure.com
Creates an Azure Data Lake Analytics catalog client.

Azure Metrics

azure.com
A client for issuing REST requests to the Azure metrics service.

ContainerServiceClient

azure.com
The Container Service Client.

Cosmos DB

azure.com
Azure Cosmos DB Database Service Resource Provider REST API

Azure Bot Service

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

Amazon Cognito Sync

Amazon Cognito Sync Amazon Cognito Sync provides an AWS service and client library that enable cross-device syncing of application-related user data. High-level client libraries are available for both iOS and Android. You can use these libraries to persist data locally so that it's available even if the device is offline. Developer credentials don't need to be stored on the mobile device to access the service. You can use Amazon Cognito to obtain a normalized user ID and credentials. User data is persisted in a dataset that can store up to 1 MB of key-value pairs, and you can have up to 20 datasets per user identity. With Amazon Cognito Sync, the data stored for each identity is accessible only to credentials assigned to that identity. In order to use the Cognito Sync service, you need to make API calls using credentials retrieved with Amazon Cognito Identity service. If you want to use Cognito Sync in an Android or iOS application, you will probably want to make API calls via the AWS Mobile SDK. To learn more, see the Developer Guide for Android and the Developer Guide for iOS.

ApiManagementClient

azure.com
Use this REST API to get all the issues across an Azure Api Management service.