Vmware, Inc.

Juniper Networks, Inc.

Nicira, Inc.

Dell Products Inc.

Force10 Networks, Inc.

Thayumanavan Sridhar

Raja Kommula

Raj Yavatkar

Ganesh Byagoti Matad Sunkada

Mallik Mahalingam

Jeremy Tidemann

Robert Kidd

Georgios Oikonomou

Ojas Gupta

Constantine Polychronopoulos

Edward Choh

Margaret Angeline Petrus

Marc-Andre Bordeleau

Tarun Banka

Rahul Gupta

Yuvaraja Mariappan

Chitrank Seshadri

Rajendra Yavatkar

Santoshkumar Babalad

Krishnamurthy Subramanian

Kiran K N

Janardhanan P Narasimhan

Jit Gupta

Rajendra Gutupalli

Santhana Krishnan

Krishna Kant

Thiraviya Eswaran

Dilip Sundarraj

Rajasree Krishnamoorthy

Mukund Gunti

Vishal I Gupta

Atanu Panda

Vishnu Sekhar

Priyanka Tembey

Sajeesh Mathew

Mithun Chakaravarrti Dharmaraj

Rahul Kulkarni

Darrell Ball

Rajesh Agarwalla

Senthilnathan Murugappan

Vikram Singh

Prashanth K

Nikhil Ayyagari

Donald Newell

Santha Nagesh Ayyagari

An example system comprises a plurality of servers comprising respective network interface cards (NICs) connected by physical links in a physical topology, wherein each NIC of the plurality of NICs comprises an embedded switch and a processing unit coupled to the embedded switch; and an edge services controller configured to program the processing unit of a network interface card of the plurality of network interface cards to: receive, at a first network interface of the NIC, a data packet from a physical device; based on the data packet being received at the first network interface, modify the data packet to generate a modified data packet; and output the modified data packet to the physical device via a second network interface of the NIC.

Extending switch fabric processing to network interface cards

A performance monitoring system includes a metric collector configured to receive, via metric exporters, telemetry data comprising metrics related to a network of computing devices. A metric time series database stores related metrics. An alert rule evaluator service is configured to evaluate rules using stored metrics. The performance monitoring system may include a machine learning module and is configured to determine optimized metric collection sampling intervals and rule evaluation intervals, and to automatically determine recommended alert rules.

Machine learning for metric collection

An edge services controller may use a service scheduling algorithm to deploy services on Network Interface Cards (NICs) of a NIC fabric while incrementally scheduling services. The edge services controller may assign services to specific nodes depending on their available resources on these nodes. Available resources may include CPU compute, DPU compute, node bandwidth, etc. The edge services controller may also consider the distance between the services that communicate with each other (i.e., hop count between nodes if two communicating services are placed on separate nodes) and the weight of communication between the services. Two services that communicate heavily with each other may consume more bandwidth, and putting them further apart is more detrimental than keeping them closer to each other, i.e., reducing the hop count between each other depending on the bandwidth consumption due to their inter-service communications.

Dynamic service rebalancing in network interface cards having processing units

An example method comprises determining, by an edge services controller, based on a respective predicted resource utilization value for each of a plurality of servers, a corresponding server weight for each of the plurality of servers; the plurality of servers comprising respective network interface cards (NICs), wherein each NIC of the plurality of NICs comprises an embedded switch and a processing unit coupled to the embedded switch; determining, by the edge services controller, based on a respective predicted resource utilization value for each of a plurality of services, a corresponding application weight for each of the plurality of services; and scheduling, by the edge services controller, based on the respective server weight for a server of the plurality of servers and the respective application weight for the service, a service of the plurality of services on the server.

Self-learning service scheduler for smart NICs

An example network system includes processing circuitry and one or more memories coupled to the processing circuitry. The one or more memories are configured to store instructions which cause the system to obtain telemetry data, the telemetry data being associated with a plurality of applications running on a plurality of hosts. The instructions cause the system to, based on the telemetry data, determine a subset of applications of the plurality of applications that run on a first host of the plurality of hosts. The instructions cause the system to determine a subset of firewall policies of a plurality of firewall polices, each of the subset of firewall policies applying to at least one respective application of the subset of applications. The instructions cause the system to generate an indication of the subset of firewall policies and send the indication to a management plane of a distributed firewall.

Intelligent firewall policy processor

An example network system includes processing circuitry and one or more memories coupled to the processing circuitry. The one or more memories are configured to store instructions which, when executed by the processing circuitry, cause the network system to receive connection data related to an egress connection of an application service of an application. The instructions cause the network system to analyze the connection data to determine that the egress connection is an anomalous connection. The instructions cause the network system to generate a notification indicative of the egress connection being an anomalous connection and send the notification to a computing device.

Self-learning egress traffic controller

Example systems, methods, and storage media are described. An example network system includes processing circuitry and one or more memories coupled to the processing circuitry. The one or more memories are configured to store instructions which, when executed by the processing circuitry, cause the network system to obtain telemetry data. The instructions cause the network system to determine, based on the telemetry data, that an application running on server processing circuitry does not meet at least one service level agreement (SLA) requirement, the server processing circuitry not including processing circuitry resident on a network interface card (NIC). The instructions cause the network system to, based on the application not meeting the at least one SLA requirement, determine to offload at least one component of the application from the server processing circuitry to the processing circuitry resident on the NIC.

Self-correcting service level agreement enforcer

A computing system comprising a memory and processing circuitry may perform the techniques. The memory may store time series data comprising measurements of one or more performance indicators. The processing circuitry may determine, based on the time series data, an anomaly in the performance of the network system, and create, based on the time series data, a knowledge graph. The processing circuitry may determine, in response to detecting the anomaly, and based on the knowledge graph and a machine learning (ML) model trained with previous time series data, a causality graph. The processing circuitry may determine a weighting for each edge in the causality graph, determine, based on the edges in the causality graph, a candidate root cause associated with the anomalies, and determine a ranking of the candidate root cause based on the weighting. The analysis framework system may output at least a portion of the ranking.

Framework for automated application-to-network root cause analysis

A container orchestration platform manages a plurality of instances of resources including a first custom resource and a second custom resource. An API server of the container orchestration platform receives a request to delete an instance of the second custom resource; determines whether instance data associated with the instance of the second custom resource has a backreference identifying an instance of the first custom resource, the backreference indicating the instance of the first custom resource is dependent on the instance of the second custom resource; and in response to determining that the instance data has the backreference to the instance of the first custom resource, bypasses deletion of the instance of the second custom resource.

Protecting instances of resources of a container orchestration platform from unintentional deletion

An example system including a first top-of-rack (ToR) switch, and a second ToR switch, the second ToR switch is to receive a network packet from a first host, the network packet to include a destination address of a second host, and after a failure of a physical network interface card (pNIC) at the second host eliminates a first link between the second host and the second ToR switch, send the network packet to the first ToR switch via an inter-switch link between the first and second ToR switches to cause the first ToR switch to forward the network packet to the second host via a second link between the first ToR switch and the second host.

Methods and physical network to reduce network dependencies in a multi-fabric virtual network

Machine learning for rule evaluation

A system comprises an edge services controller configured to: compute, based on a physical topology of physical links that connect a plurality of network interface cards (NICs) that comprise embedded switches and processing units coupled to the embedded switches, a virtual topology comprising a strict subset of the physical links; and program the virtual topology into the respective processing units of the NICs to cause the processing units of the NICs to send data packets via physical links in the strict subset of the physical links.

Dynamic network interface card fabric

An example apparatus to manage network resources includes a link aggregator to: aggregate a first plurality of physical network interface cards to create a first link aggregated group, the first link aggregated group corresponding to a first virtual network interface card; and aggregate a second plurality of physical network interface cards to create a second link aggregated group, the second link aggregated group corresponding to a second virtual network interface card; and a link manager to: connect the first link aggregated group between a first distributed virtual port and a first top-of-rack switch; connect the second link aggregated group between a second distributed virtual port and a second top-of-rack switch; and remove an invalid connection between the first plurality of physical network interface cards and the second top-of-rack switch.

Methods and apparatus to configure and manage network resources for use in network-based computing

Growing community of inventors

Sunnyvale, CA, United States of America

Thayumanavan Sridhar