Microsoft Technology Licensing, LLC

Nicholas Anthony Swanson

Benjamin Walter Martens

Zainab Hakim

Shanti Kemburu

Brent Michael Jensen

Gowri Bhaskara

Wei Zou

Ahmed Ragab Nabhan Mostafa

Bhaumik Chokshi

Ning Liu

Zhangwei Xu

Oren Rosenbloom

Murali Mohan Chintalapati

Vincent Joseph Blas

Anupama Vedapuri

Peiling Wu

Chaturanan Damodar Mishra

Igor Figlin

Robert Gerard Boyce

Bing Hu

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.

Intelligent outage evaluation and insight management for monitoring and incident management systems

The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Providing alternate resource deployment guidance for use with cloud services

A method for asynchronous data enrichment may include receiving a query that includes a request for information about an entity. The query may specify a particular time range. In response to receiving the query, event information that is associated with the entity and that corresponds to the specified time range may be combined with additional information that is relevant to the query and that corresponds to the specified time range. The event information may initially be written to a record in an append-only data store. The additional information may become available after the event information, such that the additional information is not included in the record in the append-only data store. Instead, the additional information may initially be written to one or more additional data stores. Both the event information and the additional information may be provided in response to the query.

Asynchronous data enrichment for an append-only data store

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Woodinville, WA, United States of America

Nicholas Anthony Swanson