Mock sample for your project: Security Center API

Virtual Machine Image Template

Azure resources can be locked to prevent other users in your organization from deleting or modifying resources.

Logical subnet operation endpoints and objects.

The service for managing third party addons.

Azure Log Analytics API reference for Query Packs management.

The Disk Resource Provider Client.

The AzureData management API provides a RESTful set of web APIs to manage Azure Data Resources. For example, register, delete and retrieve a SQL Server, SQL Server registration.

Edge gateway operation endpoints and objects.

Azure Application Insights client for Annotations for a component.

The User Subscription Management Client.

Update run operation endpoints and objects.

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.

Use these REST APIs for performing retrieving a collection of policy snippets available in Azure API Management deployment.

Shield Advanced This is the Shield Advanced API Reference. This guide is for developers who need detailed information about the Shield Advanced API actions, data types, and errors. For detailed information about WAF and Shield Advanced features and an overview of how to use the WAF and Shield Advanced APIs, see the WAF and Shield Developer Guide.

The operations for managing an Amazon MSK cluster.

The AWS IoT 1-Click Projects API Reference

Use these REST APIs for performing operations on Certificate entity in your Azure API Management deployment. Certificates can be used to setup mutual authentication with your Backend in API Management. For more information refer to How to secure backend using Mutual Auth Certificate.

Pinpoint SMS and Voice Messaging public facing APIs

The control plane for Amazon QLDB

This is the Amazon Lookout for Metrics API Reference. For an introduction to the service with tutorials for getting started, visit Amazon Lookout for Metrics Developer Guide.

Amazon Kinesis Data Streams Service API Reference Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.

API for AWS Elemental MediaConnect

AWS Snow Family is a petabyte-scale data transport solution that uses secure devices to transfer large amounts of data between your on-premises data centers and Amazon Simple Storage Service (Amazon S3). The Snow commands described here provide access to the same functionality that is available in the AWS Snow Family Management Console, which enables you to create and manage jobs for a Snow device. To transfer data locally with a Snow device, you'll need to use the Snowball Edge client or the Amazon S3 API Interface for Snowball or AWS OpsHub for Snow Family. For more information, see the User Guide.