Mock sample for your project: Security Center API

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

Security Center

azure.com

Version: 2015-06-01-preview


Use this API in your project

Speed up your application development by using "Security Center API" 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.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

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

Other APIs by azure.com

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.

SharedImageGalleryServiceClient

azure.com
Shared Image Gallery Service Client.

MariaDBManagementClient

azure.com
The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB 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.

ContainerRegistryManagementClient

azure.com

CostManagementClient

azure.com

AutomationManagement

azure.com

ApiManagementClient

azure.com
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.

LUIS Authoring Client

azure.com

UsageManagementClient

azure.com

ContainerRegistryManagementClient

azure.com

ApiManagementClient

azure.com
Use these REST APIs for performing operations on API entity and their Operations associated with your Azure API Management deployment.

Other APIs in the same category

Custom Vision Prediction Client

microsoft.com

AutomationManagement

azure.com

Amazon Chime SDK Messaging

The Amazon Chime SDK Messaging APIs in this section allow software developers to send and receive messages in custom messaging applications. These APIs depend on the frameworks provided by the Amazon Chime SDK Identity APIs. For more information about the messaging APIs, see Amazon Chime SDK messaging

Amazon Timestream Query

AWS IoT Core Device Advisor

AWS IoT Core Device Advisor is a cloud-based, fully managed test capability for validating IoT devices during device software development. Device Advisor provides pre-built tests that you can use to validate IoT devices for reliable and secure connectivity with AWS IoT Core before deploying devices to production. By using Device Advisor, you can confirm that your devices can connect to AWS IoT Core, follow security best practices and, if applicable, receive software updates from IoT Device Management. You can also download signed qualification reports to submit to the AWS Partner Network to get your device qualified for the AWS Partner Device Catalog without the need to send your device in and wait for it to be tested.

Platform API

The REST API specification for Ably.

Firewall Management Service

This is the Firewall Manager API Reference. This guide is for developers who need detailed information about the Firewall Manager API actions, data types, and errors. For detailed information about Firewall Manager features, see the Firewall Manager Developer Guide. Some API actions require explicit resource permissions. For information, see the developer guide topic Firewall Manager required permissions for API actions.
This is AWS WAF Classic documentation. For more information, see AWS WAF Classic in the developer guide. For the latest version of AWS WAF, use the AWS WAFV2 API and see the AWS WAF Developer Guide. With the latest version, AWS WAF has a single set of endpoints for regional and global use. This is the AWS WAF Classic API Reference for using AWS WAF Classic with Amazon CloudFront. The AWS WAF Classic actions and data types listed in the reference are available for protecting Amazon CloudFront distributions. You can use these actions and data types via the endpoint waf.amazonaws.com. This guide is for developers who need detailed information about the AWS WAF Classic API actions, data types, and errors. For detailed information about AWS WAF Classic features and an overview of how to use the AWS WAF Classic API, see the AWS WAF Classic in the developer guide.

ApplicationInsightsManagementClient

azure.com
Azure Application Insights client for API keys of a component.

Amazon Elastic Transcoder

AWS Elastic Transcoder Service The AWS Elastic Transcoder Service.

AWS Cost Explorer Service

You can use the Cost Explorer API to programmatically query your cost and usage data. You can query for aggregated data such as total monthly costs or total daily usage. You can also query for granular data. This might include the number of daily write operations for Amazon DynamoDB database tables in your production environment. Service Endpoint The Cost Explorer API provides the following endpoint: https://ce.us-east-1.amazonaws.com For information about the costs that are associated with the Cost Explorer API, see Amazon Web Services Cost Management Pricing.

AWS Compute Optimizer

Compute Optimizer is a service that analyzes the configuration and utilization metrics of your Amazon Web Services compute resources, such as Amazon EC2 instances, Amazon EC2 Auto Scaling groups, Lambda functions, and Amazon EBS volumes. It reports whether your resources are optimal, and generates optimization recommendations to reduce the cost and improve the performance of your workloads. Compute Optimizer also provides recent utilization metric data, in addition to projected utilization metric data for the recommendations, which you can use to evaluate which recommendation provides the best price-performance trade-off. The analysis of your usage patterns can help you decide when to move or resize your running resources, and still meet your performance and capacity requirements. For more information about Compute Optimizer, including the required permissions to use the service, see the Compute Optimizer User Guide.