Vmware, Inc.

Kavya Reddy Musani

Akash Kodenkiri

Ramesh Vepuri Lakshminarayana

Clement Jebakumar

Ravi Shankar Nandula

Ramesh Jagannatha Shetty

Amita Ranjan

Avakash Prem Chand

Chethana Hebbal Basavarajappa

Shubha B S

A method is provided to predict a disaster for a computer system based on logs. The method includes representing existing logs as first vectors by tokenizing the existing logs and partitioning the first vectors into clusters. The clusters represent disaster types. The method further includes selecting representative vectors for the clusters, representing a new log of the computer system as a second vector by tokenizing the new log, matching the second vector to a cluster by comparing the second vector and the representative vectors, and categorizing the new log as a disaster type represented by the cluster.

Disaster prediction recovery: statistical content based filter for software as a service

System and methods for simulating an end-to-end upgrade process are provided. The method may include collecting, by an upgrade simulator, a system inventory from a production system. The system inventory includes the production system's hardware configuration. The method may include, in response to a determination that the system inventory is compatible with an upgrade software, configuring, by the upgrade simulator, a simulated system having a downsized hardware configuration compared to the production system's hardware configuration. The method may further include upgrading, by the upgrade simulator, the simulated system using the upgrade software, and evaluating, by the upgrade simulator, the simulated system operating with the upgrade software.

Simulating end-to-end upgrade process in production environment

The present disclosure is related to systems, methods, and non-transitory machine readable media for virtual component revision. An example non-transitory machine readable medium can store instructions executable by a processing resource to cause a computing system to store a change to a configuration setting among a plurality of configuration settings each associated with a configurable virtual component and store the plurality of configuration settings associated with the configurable virtual component.

Configuration settings for configurable virtual components

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Austin, TX, United States of America

Kavya Reddy Musani