Mock sample for your project: MySQLManagementClient API

The Container Service Client.

Azure NotificationHub client

The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can discover incidents and establish a logic flow for root cause analysis.

The Admin Storage Management Client.

The Admin Backup Management Client.

Azure Log Analytics API reference for management of saved Queries within Query Packs.

The Admin Storage Management Client.

REST API for Azure Blockchain Service

File share operation endpoints and objects.

Logical subnet operation endpoints and objects.

Amazon Web Services Service Catalog AppRegistry enables organizations to understand the application context of their Amazon Web Services resources. AppRegistry provides a repository of your applications, their resources, and the application metadata that you use within your enterprise.

This Swagger was generated by the API Framework.

Use these REST APIs for performing operations on the ApiVersionSet entity associated with your Azure API Management deployment. Using this entity you create and manage API Version Sets that are used to group APIs for consistent versioning.

The Admin Fabric Management Client.

Deployment Admin Client.

Logical network operation endpoints and objects.

The Admin Commerce Management Client.

Apis for customer in enterprise agreement migrate to new pricing model or rollback to legacy pricing model.

Use these REST APIs for performing operations on Email Templates associated with your Azure API Management deployment.

Amazon CloudWatch monitors your Amazon Web Services (Amazon Web Services) resources and the applications you run on Amazon Web Services in real time. You can use CloudWatch to collect and track metrics, which are the variables you want to measure for your resources and applications. CloudWatch alarms send notifications or automatically change the resources you are monitoring based on rules that you define. For example, you can monitor the CPU usage and disk reads and writes of your Amazon EC2 instances. Then, use this data to determine whether you should launch additional instances to handle increased load. You can also use this data to stop under-used instances to save money. In addition to monitoring the built-in metrics that come with Amazon Web Services, you can monitor your own custom metrics. With CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.