Cisco Technology, Inc.

Splunk Inc.

Esha Desai

Chirag Tayal

Paddu Krishnan

Rajesh Babu Nataraja

Omprakaash Thoppai

Subramaniam Baskaran

Viral Rajeshbhai Barot

Rehan Mulla

Satya Venkata Bharani Suresh Vasabhaktula

Anudeep Rentala

An example method includes collecting, at a computing system of a data intake and query system, source data corresponding to an instance of a service hosted by a service provider, wherein the service provider hosts the service on a network of the service provider, identifying in the source data a set of metrics for the instance of the service, applying a machine learning model to the set of metrics to determine a classification for the set of metrics, generating, using the classification, a recommendation, wherein the recommendation relates to usage by the instance of the service of one or more physical resources of the service provider, and transmitting, for receipt by a client device, data comprising the recommendation, wherein the data enables display on the client device of a visualization comprising the recommendation.

Service provider instance recommendations using machine-learned classifications and reconciliation

Disclosed is a method that includes collecting first temporal statistics for a port element in a computing environment, collecting second temporal statistics for a switch element in the computing environment, collecting third temporal statistics for the computing environment generally, computing a spatial correlation between network features and network elements comprising the port element and the switch element and computing, via a machine learning technique, a port dynamic weight for the port element and a switch dynamic weight for the switch element. The method can also include scheduling workload to consume compute resources within the compute environment based at least in part on the port dynamic weight for the port element and the switch dynamic weight for the switch element.

System and method for applying machine learning algorithms to compute health scores for workload scheduling

A network controller deploys network management applications to containers hosted on compute nodes. For each container on each compute node, the controller determines the network connectivity required by the application; assigns to the container one or more Internet Protocol (IP) addresses that satisfy the network connectivity, and provides the one or more IP addresses to the container; upon detecting the container is lost, blocks the one or more IP addresses so that the they cannot be re-assigned to any other container; and upon detecting that the application has been re-deployed to a new container on a new compute node, unblock the blocked one or more IP addresses, and assign and send the one or more IP addresses to the new container to enable the new container to establish the network connectivity required by the application without network address translation.

Container networking for connecting network controller applications to a switch fabric

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San Jose, CA, United States of America

Esha Desai