Vmware, Inc.

Gyan Sagar Sinha

Abhijit Sharma

Avinash Nigam

Gaurav Agarwal

Rohit Toshniwal

Amarjit Gupta

Somil Bhandari

Wenxuan Zhou

Rahul Ajit Chawathe

Automated computer-implemented processes and systems are directed to troubleshooting a network used by an application in a data center. The processes and system execute a framework for automated network troubleshooting of an application. The framework performs automated fault localization by traversing a dependency graph that models the network from the observed performance problem, guided by the causality relationships, and for each edge of the graph, performs a test to determine problem causality, terminates at a set of well-defined criteria, and outputs at least one potential root cause for the application performance problem.

Automated processes and systems for troubleshooting a network of an application

Embodiments described herein generally involve identifying workloads in a networking environment based on a flow record from an observation point. In one embodiment, network data is received from one or more endpoints and used to determine a plurality of administrative domains. Each administrative domain comprises a distinct section of the networking environment within which every Internet Protocol (IP) address is unique. The network data may be used to generate observation point mapping information that maps each observation point to an administrative domain, lookup tables associated with each of the plurality of administrative domains that map IP addresses to administrative domains, and a workload identification table that maps combinations of IP addresses and administrative domains to workloads. The flow record is received from the observation point and a source and destination workload of the flow record are identified using the observation point mapping information, applicable lookup table, and workload identification table.

Workload identification for network flows in hybrid environments with non-unique IP addresses

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Pune, India

Gyan Sagar Sinha