Abstract: A method for providing cloud network reachability analysis includes receiving a reachability query requesting a reachability status of a target including a packet header associated with a data packet. The packet header includes a source IP address and a destination IP address. The method also includes generating one or more simulated forwarding paths for the data packet based on the packet header using a data plane model. Each simulated forwarding path includes corresponding network configuration information. The method includes determining the reachability status of the target based on the one or more simulated forwarding paths and providing the determined reachability status and the one or more simulated forwarding paths to a user device associated with the reachability query which causes the user device to present the network configuration information for each simulated forwarding path.

Abstract: 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.

Abstract: 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.

Abstract: Methods and apparatus to cross configure network resources of software defined data centers are disclosed. Example instructions cause one or more processors to monitor a component of a network for a probe packet sent to the component. The example instructions cause the one or more processors to, in response to detecting the probe packet, determine whether the probe packet includes a unique source media access control (MAC) address that is included in a probe access control list (ACL), the unique source MAC address included in the probe ACL set by a decision engine. The example instructions cause the one or more processors to, in response to determining that the probe packet does not include the unique source MAC address, record probe packet receipt information indicating that the probe packet did not pass through a network port of the component and transmit the probe packet receipt information to the decision engine.

Abstract: 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.

Abstract: 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.

Abstract: Techniques are described for determining the energy usage of a data center and invoking one or more actions to improve the energy usage of the data center. For example, a computing system may obtain energy usage data of a data center. The computing system may also determine, based on a comparison of the energy usage data of the data center to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the data center that specifies a value that indicates whether the data center is energy efficient. The computing system may further invoke, based on the green quotient of the data center that specifies a value that indicates the data center is not energy efficient, an action to improve energy usage of the data center.

Abstract: Methods and apparatus to deploy workload domains in virtual server racks are disclosed. An example apparatus includes a policy manager to determine an availability option and a performance option of the workload domain based on a domain type and determine capacity options based on a user selection of the availability option and a user selection of the performance option by a first user, a deployment manager to identify first ones of a plurality of computing resources to form a placement solution for the workload domain based on the user selection of the availability and performance options, and based on a user selection of one of the determined capacity options by the first user, the plurality of computing resources stored in a resource database accessible by the first user and a second user, and a resource manager to reserve the first ones of the plurality of computing resources to deploy the workload domain for the first user.

Abstract: Techniques are described for determining the energy usage of a data center and invoking one or more actions to improve the energy usage of the data center. For example, a computing system may obtain energy usage data of a data center deploying an application. The computing system may also determine, based on a comparison of the energy usage data of the data center deploying the application to a percentage of energy provided by one or more renewable energy sources to the data center, a green quotient of the application that specifies a value that indicates whether the data center deploying the application is energy efficient. The computing system may further invoke, based on the green quotient of the application that specifies a value that indicates the data center deploying the application is not energy efficient, an action to improve energy usage of the data center deploying the application.

Abstract: 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.

Abstract: 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 automatically determine recommended alert rules.

Abstract: 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.

Abstract: Methods and apparatus to deploy workload domains in virtual server racks are disclosed. An example apparatus includes a policy manager to determine an availability option and a performance option of the workload domain based on a domain type and determine capacity options based on a user selection of the availability option and a user selection of the performance option by a first user, a deployment manager to identify first ones of a plurality of computing resources to form a placement solution for the workload domain based on the user selection of the availability and performance options, and based on a user selection of one of the determined capacity options by the first user, the plurality of computing resources stored in a resource database accessible by the first user and a second user, and a resource manager to reserve the first ones of the plurality of computing resources to deploy the workload domain for the first user.

Abstract: 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.

Abstract: 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.

Abstract: An example method comprises, receiving resource availability values from the plurality of Network Interface Cards (NICs); determining a data path for data packets of a flow transported using a protocol from a source NIC to a destination NIC via a NIC set that comprises at least one NIC, wherein: the plurality of NICs comprises the source NIC, the destination NIC, and the NIC set, and determining the data path comprises selecting the NIC set based on the resource availability values; and transmitting, to the source NIC and to each NIC in the NIC set, data path data to cause the source NIC and each NIC in the NIC set to identify the data packets of the flow using an identifier of the protocol and to transmit the data packets of the flow from the source NIC to the destination NIC via the data path.

Abstract: 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.

Abstract: A method for providing cloud network reachability analysis includes receiving a reachability query requesting a reachability status of a target including a packet header associated with a data packet. The packet header includes a source IP address and a destination IP address. The method also includes generating one or more simulated forwarding paths for the data packet based on the packet header using a data plane model. Each simulated forwarding path includes corresponding network configuration information. The method includes determining the reachability status of the target based on the one or more simulated forwarding paths and providing the determined reachability status and the one or more simulated forwarding paths to a user device associated with the reachability query which causes the user device to present the network configuration information for each simulated forwarding path.

Abstract: A system is configured to compute a latency between a first computing device and a second computing device. The system includes a network interface card (NIC) of a first computing device. The NIC includes a set of interfaces configured to receive one or more packets and send one or more packets. The processing unit is configured to identify information indicative of a forward packet, compute, based on a first time corresponding to the forward packet and a second time corresponding to a reverse packet associated with the forward packet, a latency between the first computing device and a second computing device, wherein the second computing device includes a destination of the forward packet and a source of the reverse packet, and output information indicative of the latency between the first computing device and the second computing device.

Abstract: A method for providing cloud network reachability analysis includes receiving a reachability query requesting a reachability status of a target including a packet header associated with a data packet. The packet header includes a source IP address and a destination IP address. The method also includes generating one or more simulated forwarding paths for the data packet based on the packet header using a data plane model. Each simulated forwarding path includes corresponding network configuration information. The method includes determining the reachability status of the target based on the one or more simulated forwarding paths and providing the determined reachability status and the one or more simulated forwarding paths to a user device associated with the reachability query which causes the user device to present the network configuration information for each simulated forwarding path.