Cisco Technology, Inc.

Vimal Jeyakumar

Navindra Yadav

Ashutosh Kulshreshtha

Ali Parandehgheibi

Andy Sloane

Omid Madani

Shih-Chun Chang

Khawar Deen

Hai Trong Vu

Kai Chang

Michael Standish Watts

Oliver Kempe

Uday Krishnaswamy Chettiar

An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.

Application performance monitoring and management platform with anomalous flowlet resolution

The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.

Network migration assistant

Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

System and method for network root cause analysis

Flowlet resolution for application performance monitoring and management

The disclosed technology relates to log file processing techniques for root cause analysis of a network fabric. A system may be configured to identify a feature of interest in a log file and calculating an abnormal level for the feature of interest. The system is further configured to detect that a performance event has occurred during a time period, determine whether the feature of interest is at the abnormal level during the time period, and identify a correlation between the feature of interest and the performance event based on the determining.

Log file processing for root cause analysis of a network fabric

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Los Altos, CA, United States of America

Vimal Jeyakumar