Cisco Technology, Inc.

Lightbend, Inc.

Oliver Kempe

Navindra Yadav

Ashutosh Kulshreshtha

Andy Sloane

Uday Krishnaswamy Chettiar

Omer Emre Velipasaoglu

Amit Sasturkar

Abhinav Amrut Vora

Bharathwaj Sankara Viswanathan

Vishal Surana

Alan Honkwan Ngai

Aiyesha Lowe Ma

Narayanan Arunachalam

Hiral Shashikant Patel

Vimal Jeyakumar

The present disclosure provides systems, methods, and computer-readable media for implementing security polices at software call stack level. In one example, a method includes generating a call stack classification scheme for an application, detecting a call stack during deployment of the application; using the call stack classification scheme during runtime of the application, classifying the detected call stack as one of an authorized call stack or an unauthorized call stack to yield a classification; and applying a security policy based on the classification.

Security policies for software call stacks

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

The technology disclosed relates to maintaining up to date software version data in a network. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections. It further relates to collecting current software version information for the processes, updating the network topology with the current software version for particular process running on a particular host when it differs from a stored software version in the network topology, reassigning the particular host to a sub-cluster within the service cluster according to the current software version, and monitoring the updated sub-cluster within the service cluster.

Systems and methods of monitoring a network topology

The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.

Systems and methods of constructing a network topology

Growing community of inventors

Santa Clara, CA, United States of America

Oliver Kempe