Abstract: Capacity prediction and management are provided for virtual machine (VM) deployment. A resource manager receives requests for VM allocation indicating a prioritized list of VM types (e.g., first, second, third priority) and provisions the requests with the second and/or third priority VM types if there is a capacity shortage of the first and/or second priority VM types. The resource manager may recommend available VMs of various priority VM types in the requested or other regions and/or zones. A capacity analyzer predicts future requests for VM creation, including a predicted compute capacity, timeframe(s), region(s), zone(s), etc., based on past VM creation. Entities may be alerted if predicted future compute capacity is less than, equal to, or greater than predicted compute capacity. The resource manager may reserve predicted compute capacity for predicted requests and may release the reserved capacity if the request is not received.

Abstract: Systems, methods, and devices are described for intelligent outage evaluation and insight management for monitoring and incident management systems. A set of incident logs associated with a cloud computing service are received by a cloud computing service provider system. Each incident log includes impact data corresponding to a respective incident that occurred during an evaluation period. The impact data includes an interruption count representative of a number of interruptions on resources caused by the respective incident. A total active resource time representative of resource activity during the evaluation period is determined. An interruption rate is determined for the evaluation period by summing interruption counts to generate a total interruption count and dividing the total interruption count by the total active resource time. An actionable insight applicable to the cloud computing service is generated based on the interruption rate and the incident logs.