Abstract: Failure impact analysis (or “impact analysis”) is a process that involves identifying effects of a network event that are may or will results from the network event. In one example, this disclosure describes a method that includes generating, by a control system managing a resource group, a resource graph that models resource and event dependencies between a plurality of resources within the resource group; detecting, by the control system, a first event affecting a first resource of the plurality of resources, wherein the first event is a network event; and identifying, by the control system and based on the dependencies modeled by the resource graph, a second resource that is expected to be affected by the first event.

Abstract: Techniques are disclosed for managing a network. In one example, a device configuration manager is configured to generate, in accordance with a device management protocol, a configuration change request representing a transaction having a first sub-transaction specifying a first configuration change for a network device of the network and a second sub-transaction specifying a second configuration change for the same network device. The device configuration manager is further configured to output the configuration change request to the network device and receive a reply message from the network device. The reply message includes a first response element specifying whether the first configuration change is successfully committed at the network device and a second response element specifying whether the second configuration change is successfully committed at the network device.

Abstract: A controller device manages a plurality of network devices. The controller device includes one or more processing units implemented in circuitry and configured to determine that one or more stateful intents used to manage the plurality of network devices and represented by a graph model are degraded due to assigned resources for the stateful intents having become degraded; in response to determining that the one or more stateful intents are degraded, determine resources for the stateful intents, the resources corresponding to vertices of the graph model; provision the stateful intents using the determined resources; determine whether the provisioning of the stateful intents was successful; compile at least one of the stateful intents that was successful into low-level configuration data for at least one network device of the plurality of network devices; and configure the at least one network device using the low-level configuration data.

Abstract: An example method includes obtaining, by one or more processors, data indicating resource dependencies between a plurality of resources in a network and event dependencies between a plurality of network events and one or more of the plurality of resources; generating a Bayesian model based on resource types of the plurality of resources and event types of the plurality of network events; receiving an indication of a fault in the network; collecting fault data and generating, based on the Bayesian model and the fault data, a plurality of root cause hypotheses for the fault; ordering the plurality of root cause hypotheses based on respective root cause probabilities associated with the plurality of root cause hypotheses; and outputting the ordered plurality of root cause hypotheses.

Abstract: Failure impact analysis (or “impact analysis”) is a process that involves identifying effects of a network event that are may or will results from the network event. In one example, this disclosure describes a method that includes generating, by a control system managing a resource group, a resource graph that models resource and event dependencies between a plurality of resources within the resource group; detecting, by the control system, a first event affecting a first resource of the plurality of resources, wherein the first event is a network event; and identifying, by the control system and based on the dependencies modeled by the resource graph, a second resource that is expected to be affected by the first event.

Abstract: A controller device manages a plurality of network devices. The controller device includes a memory configured to store a dependency model representing dependencies between resources provided by the network devices and a programmed merge strategy, and one or more processors implemented in circuitry and configured to: determine the resources provided by the network devices; determine relationships between the resources according to the programmed merge strategy; construct the dependency model using the determined relationships; determine that at least one of the resources has experienced a failure; and perform a root cause analysis using the dependency mathematical model to determine a root cause of the failure of the at least one of the resources.

Abstract: A controller device manages a plurality of network devices. The controller device includes a memory configured to store a dependency model representing dependencies between resources provided by the network devices and a programmed merge strategy, and one or more processors implemented in circuitry and configured to: determine the resources provided by the network devices; determine relationships between the resources according to the programmed merge strategy; construct the dependency model using the determined relationships; determine that at least one of the resources has experienced a failure; and perform a root cause analysis using the dependency mathematical model to determine a root cause of the failure of the at least one of the resources.

Abstract: Failure impact analysis (or “impact analysis”) is a process that involves identifying effects of a network event that are may or will results from the network event. In one example, this disclosure describes a method that includes generating, by a control system managing a resource group, a resource graph that models resource and event dependencies between a plurality of resources within the resource group; detecting, by the control system, a first event affecting a first resource of the plurality of resources, wherein the first event is a network event; and identifying, by the control system and based on the dependencies modeled by the resource graph, a second resource that is expected to be affected by the first event.

Abstract: An example controller device that manages a plurality of network devices includes one or more processing units implemented in circuitry and configured to: obtain device-level configuration information from a network device of the plurality of network devices at a first time; determine one or more out-of-band (OOB) configuration changes between the device-level configuration information from the network device and previous device-level intent configuration information compiled from one or more intents maintained by the controller device to manage the plurality of network devices; and store the one or more OOB configuration changes associated with the network device in incremental deltas.

Abstract: Network elements are managed with a server to support client data models from heterogeneous data sources. A server receives a first query for configuration data of a network element to be returned in a first model. The server determines a model type for the configuration data of the network element. When the model type is a second model that is not the first model, the server sends a second query to the network element for the configuration data to be returned in the second model and transforms the configuration data received from the network element into the first model. Additionally, the server returns the configuration data in the first model as a response to the first query.

Abstract: Network management techniques are described. A controller device of this disclosure manages a device group of a network. The controller device includes processing circuitry in communication with the memory, the processing circuitry being configured to receive, using a programmable diagnosis service executed by the processing circuitry, a programming input, to form, using the programmable diagnosis service, based on the programming input, a resource definition graph that models interdependencies between a plurality of resources supported by the device group, to detect, using the programmable diagnosis service, an event affecting a first resource of the plurality of resources, and to identify, using the programmable diagnosis service, based on the interdependencies modeled in the resource definition graph formed based on the programming input, a root cause event that caused the event affecting the first resource, the root cause event occurring at a second resource of the plurality of resources.

Abstract: A controller device manages a plurality of network devices. The controller device includes one or more processing units configured to receive an indication of a stateful intent, the data structure including a plurality of nodes and a plurality of edges, each node of the plurality of nodes being representative of a respective network device of the plurality of network devices. The one or more processing units are configured to determine, using an abstract function configured at a node of the plurality of nodes, a stateless intent for implementing the stateful intent and generate low level configuration data for the plurality of network devices based on the stateless intent. The one or more processing units are configured to interface with one or more of the plurality of network devices to configure the one or more of the plurality of network devices with the low level configuration data.

Abstract: Management of network devices using network aware diagnosis techniques. An example method to monitor a network includes constructing, by a controller device that manages a plurality of network devices, a deployed graph model comprising a plurality of models representative of services operating on the network devices within the network. The method also includes receiving an alert, by the controller device, that a service operating on one of the network devices is experiencing a failure. Additionally, the method includes traversing, by the controller device, modeled dependencies within the deployed graph model to perform root cause analysis of the service that is experiencing the failure to determine a resource-level event causing the failure. The method includes. based on the traversing, providing, by the controller device, a report indicating the root cause of the failure.

Abstract: A controller device manages a plurality of network devices. The controller device includes one or more processing units implemented in circuitry and configured to determine that one or more stateful intents used to manage the plurality of network devices and represented by a graph model are degraded due to assigned resources for the stateful intents having become degraded; in response to determining that the one or more stateful intents are degraded, determine resources for the stateful intents, the resources corresponding to vertices of the graph model; provision the stateful intents using the determined resources; determine whether the provisioning of the stateful intents was successful; compile at least one of the stateful intents that was successful into low-level configuration data for at least one network device of the plurality of network devices; and configure the at least one network device using the low-level configuration data.

Abstract: A controller device manages a plurality of network devices. The controller device includes one or more processing units implemented in circuitry and configured to determine that one or more stateless intents of a deployed graph model including a first set of stateless intents used to manage the plurality of network devices have changed, wherein stateless intents comprise fully declarative descriptions of an intended state of a network including the network devices, state of one or more of the network devices, or state of storage for the network; maintain both the deployed graph model and an undeployed graph model including a second set of stateless intents including the one or more changed stateless intents; compile the changed stateless intents of the undeployed graph model to generate low-level configuration data for the network devices; and configure the network devices using the low-level configuration data.

Abstract: A controller device manages a plurality of network devices. The controller device includes one or more processing units configured to receive an upgrade request; obtain a redundancy model indicating network device redundancies or service redundancies; determine, based on the upgrade request and the redundancy model, an update graph having nodes each representing one of the network devices or one of the services, the update graph also having at least one edge that connects two of the nodes and that indicates the network redundancy or the service redundancy; determine, based on the update graph including the at least one edge, an update schedule for performing an update of software for the network devices that ensures availability for the first network device or second network device or availability for the service; and update the software of each of the network devices according to the update schedule.

Abstract: An example controller device that manages a plurality of network devices includes one or more processing units implemented in circuitry and configured to: obtain device-level configuration information from a network device of the plurality of network devices at a first time; determine one or more out-of-band (OOB) configuration changes between the device-level configuration information from the network device and previous device-level intent configuration information compiled from one or more intents maintained by the controller device to manage the plurality of network devices; and store the one or more OOB configuration changes associated with the network device in incremental deltas.

Abstract: A controller device manages a plurality of network devices. The controller device includes one or more processing units implemented in circuitry and configured to determine that one or more stateless intents of a deployed graph model including a first set of stateless intents used to manage the plurality of network devices have changed, wherein stateless intents comprise fully declarative descriptions of an intended state of a network including the network devices, state of one or more of the network devices, or state of storage for the network; maintain both the deployed graph model and an undeployed graph model including a second set of stateless intents including the one or more changed stateless intents; compile the changed stateless intents of the undeployed graph model to generate low-level configuration data for the network devices; and configure the network devices using the low-level configuration data.

Abstract: A controller device manages a plurality of network devices. The controller device is configured to receive, for a data structure, a configlet specifying a set of configuration changes to be applied to a resource of a plurality of resources of the plurality of network devices. A low level configuration for each respective owned resource of a set of owned resources of the plurality of resources includes a pointer indicating an owner for the respective owned resources. The one or more processing units are further configured to determine the set of configuration changes does not conflict in response to determining the low level configuration for the resource does not include a pointer indicating the owner for the resource is not the configlet and apply the set of configuration changes to the resource in response to determining the set of configuration changes does not conflict with the set of owned resources.

Abstract: An example controller device manages a plurality of network devices. The controller device includes one or more processing units, implemented using digital logic circuitry, configured to receive data representing a modification to unified intent model represented by a graph model, determine one or more vertices of the graph model affected by the data representing the modification and one or more vertices to be added to the graph model to extend the unified intent model, update the one or more vertices of the graph model affected by the data representing the modification and add the one or more vertices to be added to the graph model, compile the updated one or more vertices and the added one or more vertices to generate low level configuration data for the plurality of network devices, and configure one or more of the plurality of network devices with the low level configuration data.