Mock sample for your project: AppServicePlans API Client

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

AppServicePlans API Client

azure.com

Version: 2019-08-01


Use this API in your project

Integrate third-party APIs faster by using "AppServicePlans API Client" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
Improve your integration tests by mocking third-party APIs and cover more edge cases: slow response time, random failures, etc.

Description

Other APIs by azure.com

BillingManagementClient

azure.com
Billing client provides access to billing resources for Azure subscriptions.

Recommendations API Client

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.

NetworkAdminManagementClient

azure.com
Network admin operation endpoints and objects.

UpdateAdminClient

azure.com
Update location operation endpoints and objects.

HybridComputeManagementClient

azure.com
The Hybrid Compute Management Client.

LUIS Authoring Client

azure.com

DataLakeAnalyticsAccountManagementClient

azure.com
Creates an Azure Data Lake Analytics account management client.

BlueprintClient

azure.com
Azure Blueprints Client provides access to blueprint definitions, assignments, and artifacts, and related blueprint operations.

Azure Media Services

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

MonitorManagementClient

azure.com

Power BI Embedded Management Client

azure.com
Client to manage your Power BI Embedded workspace collections and retrieve workspaces.

Other APIs in the same category

Security Center

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

AdvisorManagementClient

azure.com
REST APIs for Azure Advisor
IoT IoT provides secure, bi-directional communication between Internet-connected devices (such as sensors, actuators, embedded devices, or smart appliances) and the Amazon Web Services cloud. You can discover your custom IoT-Data endpoint to communicate with, configure rules for data processing and integration with other services, organize resources associated with each device (Registry), configure logging, and create and manage policies and credentials to authenticate devices. The service endpoints that expose this API are listed in Amazon Web Services IoT Core Endpoints and Quotas. You must use the endpoint for the region that has the resources you want to access. The service name used by Amazon Web Services Signature Version 4 to sign the request is: execute-api. For more information about how IoT works, see the Developer Guide. For information about how to use the credentials provider for IoT, see Authorizing Direct Calls to Amazon Web Services Services.

AWS Backup

Backup Backup is a unified backup service designed to protect Amazon Web Services services and their associated data. Backup simplifies the creation, migration, restoration, and deletion of backups, while also providing reporting and auditing.

StorageManagementClient

azure.com
The Azure Storage Management API.

Amazon Sagemaker Edge Manager

SageMaker Edge Manager dataplane service for communicating with active agents.

AWS IoT Analytics

IoT Analytics allows you to collect large amounts of device data, process messages, and store them. You can then query the data and run sophisticated analytics on it. IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integration with Amazon QuickSight. Traditional analytics and business intelligence tools are designed to process structured data. IoT data often comes from devices that record noisy processes (such as temperature, motion, or sound). As a result the data from these devices can have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of other data from external sources. IoT Analytics automates the steps required to analyze data from IoT devices. IoT Analytics filters, transforms, and enriches IoT data before storing it in a time-series data store for analysis. You can set up the service to collect only the data you need from your devices, apply mathematical transforms to process the data, and enrich the data with device-specific metadata such as device type and location before storing it. Then, you can analyze your data by running queries using the built-in SQL query engine, or perform more complex analytics and machine learning inference. IoT Analytics includes pre-built models for common IoT use cases so you can answer questions like which devices are about to fail or which customers are at risk of abandoning their wearable devices.

AWS IoT Events Data

AWS IoT Events monitors your equipment or device fleets for failures or changes in operation, and triggers actions when such events occur. You can use AWS IoT Events Data API commands to send inputs to detectors, list detectors, and view or update a detector's status. For more information, see What is AWS IoT Events? in the AWS IoT Events Developer Guide.

Azure SQL Database

azure.com
Provides create, read, update and delete functionality for Azure SQL Database resources including recommendations and operations.

TimeSeriesInsightsClient

azure.com
Time Series Insights environment data plane client for PAYG (Preview L1 SKU) environments.

AWS AppSync

AppSync provides API actions for creating and interacting with data sources using GraphQL from your application.

Amazon CodeGuru Profiler

This section provides documentation for the Amazon CodeGuru Profiler API operations. Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. Amazon CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization. Amazon CodeGuru Profiler currently supports applications written in all Java virtual machine (JVM) languages and Python. While CodeGuru Profiler supports both visualizations and recommendations for applications written in Java, it can also generate visualizations and a subset of recommendations for applications written in other JVM languages and Python. For more information, see What is Amazon CodeGuru Profiler in the Amazon CodeGuru Profiler User Guide.