Mock sample for your project: Azure SQL Database API spec

Integrate with "Azure SQL Database API spec" from azure.com in no time with Mockoon's ready to use mock sample

Azure SQL Database API spec

azure.com

Version: 2014-04-01


Use this API in your project

Integrate third-party APIs faster by using "Azure SQL Database API spec" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
It also helps reduce your dependency on third-party APIs: no more accounts to create, API keys to provision, accesses to configure, unplanned downtime, etc.

Description

The Azure SQL Database management API provides a RESTful set of web services that interact with Azure SQL Database services to manage your external server administrators.

Other APIs by azure.com

SqlManagementClient

azure.com
The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

Security Center

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

Azure Media Services

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

MonitorManagementClient

azure.com

RecoveryServicesBackupClient

azure.com

PeeringManagementClient

azure.com
APIs to manage Peering resources through the Azure Resource Manager.

MediaServicesManagementClient

azure.com
Media Services resource management APIs.

RecoveryServicesBackupClient

azure.com

SearchIndexClient

azure.com
Client that can be used to query an index and upload, merge, or delete documents.

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.

Microsoft.ResourceHealth

azure.com
The Resource Health Client.

Engagement.ManagementClient

azure.com
Microsoft Azure Mobile Engagement REST APIs.

Other APIs in the same category

AutomationManagement

azure.com

Amazon Fraud Detector

This is the Amazon Fraud Detector API Reference. This guide is for developers who need detailed information about Amazon Fraud Detector API actions, data types, and errors. For more information about Amazon Fraud Detector features, see the Amazon Fraud Detector User Guide.

Azure Log Analytics Query Packs

azure.com
Azure Log Analytics API reference for Query Packs management.

InfrastructureInsightsManagementClient

azure.com
The Admin Infrastructure Insights Management Client.

AWS Data Pipeline

AWS Data Pipeline configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that data dependencies are met so that your application can focus on processing the data. AWS Data Pipeline provides a JAR implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management. AWS Data Pipeline implements two main sets of functionality. Use the first set to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data. Use the second set in your task runner application to receive the next task ready for processing. The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When the task is done, the task runner reports the final success or failure of the task to the web service.

AutomationManagement

azure.com

AutomationManagement

azure.com

Elastic Load Balancing

Elastic Load Balancing A load balancer distributes incoming traffic across targets, such as your EC2 instances. This enables you to increase the availability of your application. The load balancer also monitors the health of its registered targets and ensures that it routes traffic only to healthy targets. You configure your load balancer to accept incoming traffic by specifying one or more listeners, which are configured with a protocol and port number for connections from clients to the load balancer. You configure a target group with a protocol and port number for connections from the load balancer to the targets, and with health check settings to be used when checking the health status of the targets. Elastic Load Balancing supports the following types of load balancers: Application Load Balancers, Network Load Balancers, Gateway Load Balancers, and Classic Load Balancers. This reference covers the following load balancer types: Application Load Balancer - Operates at the application layer (layer 7) and supports HTTP and HTTPS. Network Load Balancer - Operates at the transport layer (layer 4) and supports TCP, TLS, and UDP. Gateway Load Balancer - Operates at the network layer (layer 3). For more information, see the Elastic Load Balancing User Guide. All Elastic Load Balancing operations are idempotent, which means that they complete at most one time. If you repeat an operation, it succeeds.

AutomationManagement

azure.com

AutomationManagement

azure.com

FabricAdminClient

azure.com
Drive operation endpoints and objects.

AmazonMWAA

Amazon Managed Workflows for Apache Airflow This section contains the Amazon Managed Workflows for Apache Airflow (MWAA) API reference documentation. For more information, see What Is Amazon MWAA?.