Vmware, Inc.

Kumaran Kamala Kannan

Narendra Madanapalli

Thangamani K

Hari Hara Subramanian Nagaiyanallur Sairam

Ramachandran Krishnan

Dinesh Surajmal

Vinay V

Methods that use marking, leveling and linking ('MLL') processes to identify problems and dynamically correlate events recorded in various log files generated for a use-case of an application are described. The marking process determines fact objects associated with the use-case from events recorded in the various log files, database dumps, captured user actions, network traffic, and third-party component logs in order to identify non-predefined problems with running the application in a distributed computing environment. The MLL methods do not assume a predefined input format and may be used with any data structure and plain log files. The MLL methods present results in a use-case trace in a graphical user interface. The use-case trace enables human users to monitor and troubleshoot execution of the application. The use-case trace identifies the types of non-predefined problems that have occurred and points in time when the problems occurred.

Methods and systems that identify problems in applications

Methods, apparatus, and systems to manage application updates in a cloud environment are disclosed. Disclosed example methods include determining that a collector in a collector bank is available to process a task, the task to at least one of request an application version or request an application update and sending the task from a task queue to the collector to determine which compute node is to execute the task. Disclosed example methods also include enqueuing the task on a target queue based on a routing key assigned to the task by the collector, the routing key to specify the compute node to execute the task, and sending the task to the compute node associated with the target compute node queue.

Methods and apparatus to manage application updates in a cloud environment

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Bengaluru, India

Kumaran Kamala Kannan