Abstract: An autoscaling system for scaling resource instances in a cloud network includes an autoscaling application is stored in memory and executed by a processor. The autoscaling application is configured to provide an interface to define an autoscale policy including scale in rules and scale out rules for a plurality of different types of resource instances of a tenant. The autoscaling application is configured to receive capacity data corresponding to a first type of the plurality of different types of resource instances; calculate an estimated instance count for scaling in the first type based on the capacity data and scale in rules; calculate a projection factor based on an estimated instance count and a current instance count; generate adjusted capacity data based on current capacity data and the projection factor; compare the adjusted capacity data and the scale out rules; and selectively scale in the first type based on the comparison.

Abstract: A data system for delivering operational data relating to resource instances in a cloud network includes a plurality of different types of resource instances deployed in the cloud network for a plurality of tenants. Each of the resource instances includes an agent application configured to generate diagnostic log data and metric data for each of the resource instances. A server includes an interface, accessible by the plurality of tenants, configured to create a data service configuration for each of the plurality of tenants. The data service configuration configures storage, streaming and analytic data services for the diagnostic log data and the metric data generated by the resource instances corresponding to each of the plurality of tenants.

Abstract: An autoscaling system for scaling resource instances in a cloud network includes a processor and memory. An autoscaling application is stored in memory and executed by the processor and is configured to provide an interface to define an autoscale policy for a plurality of different types of resource instances. The autoscale policy at least one of defines minimum and maximum values for at least one of a capacity and a resource instance count for the plurality of different types of the resource instances using a common protocol and defines metric-based rules for the plurality of different types of the resource instances using the common protocol. The autoscaling application at least one of scales in or scales out the plurality of different types of the resource instances based on the autoscale policy.

Abstract: An autoscaling system for scaling resource instances in a cloud network includes an autoscaling application is stored in memory and executed by a processor. The autoscaling application is configured to provide an interface to define an autoscale policy including scale in rules and scale out rules for a plurality of different types of resource instances of a tenant. The autoscaling application is configured to receive capacity data corresponding to a first type of the plurality of different types of resource instances; calculate an estimated instance count for scaling in the first type based on the capacity data and scale in rules; calculate a projection factor based on an estimated instance count and a current instance count; generate adjusted capacity data based on current capacity data and the projection factor; compare the adjusted capacity data and the scale out rules; and selectively scale in the first type based on the comparison.