Abstract:
A network analytics controller is established in a network. The network includes a plurality of nodes. A plurality of network analytics agents is established; each agent at a node of the network. Network analytics configuration parameters, including a network analytics scope, are received at the networks analytics controller. A task is assigned to each agent at a node determined to be within the network analytics scope, the task comprising that portion of the network analytics specified in the network analytics configuration parameters relevant to the corresponding node. The assigned task is performed at each agent assigned a task. The networks analytics controller receives the results of each performed task, and aggregates the received results.
Abstract:
A network analytics controller is established in a network. The network includes a plurality of nodes. A plurality of network analytics agents is established; each agent at a node of the network. Network analytics configuration parameters, including a network analytics scope, are received at the networks analytics controller. A task is assigned to each agent at a node determined to be within the network analytics scope, the task comprising that portion of the network analytics specified in the network analytics configuration parameters relevant to the corresponding node. The assigned task is performed at each agent assigned a task. The networks analytics controller receives the results of each performed task, and aggregates the received results.
Abstract:
Disclosed are systems, methods, and computer-readable storage media for scaling service discovery in a micro-service environment. A controller can instantiate, on a host computing device, a first container instance providing a first micro-service of an application. The host computing device can include a service discovery agent. The controller can identify a set of micro-services that are dependencies of the first micro-service, and update the service discovery agent with routing data for container instances providing the set of micro-services that are dependencies of the first micro-service. The service discovery agent can use the routing data to route requests from the first container instance to container instances providing the set of micro-services that are dependencies of the first micro-service.
Abstract:
Disclosed are systems, methods, and computer-readable storage media for scaling service discovery in a micro-service environment. A controller can instantiate, on a host computing device, a first container instance providing a first micro-service of an application. The host computing device can include a service discovery agent. The controller can identify a set of micro-services that are dependencies of the first micro-service, and update the service discovery agent with routing data for container instances providing the set of micro-services that are dependencies of the first micro-service. The service discovery agent can use the routing data to route requests from the first container instance to container instances providing the set of micro-services that are dependencies of the first micro-service.
Abstract:
An example method for automating monitoring using configuration event triggers in a network environment is provided and includes receiving a change request for a configuration change, creating a change impact monitor according to a profile associated with the configuration change, taking a first snapshot of performance indicators when the configuration change is applied, taking a second snapshot of the performance indicators a predetermined duration after applying the configuration change, and generating a change impact notification describing the first snapshot and the second snapshot. The profile can specify the performance indicators for the configuration change. A change agent that creates the change impact monitor may also be invoked. In some embodiments, the method can further include receiving a soak command, and taking a third snapshot of the performance indicators before applying the configuration change.
Abstract:
Systems and methods provide for scaling service discovery in a micro-service environment. A controller can inject a service discovery agent onto a host. At least one of the controller or the agent can identify a first set of micro-service containers that are dependencies of the first micro-service container and a second set of micro-service containers that are dependencies of the second micro-service container. At least one of the controller or the agent can update routing data for the first set of micro-service containers and the second set of micro-service containers. At least one of the controller or the agent can determine the second micro-service container has terminated on the host computing device. At least one of the controller or the agent can update the agent to remove the routing data for the second set of micro-service containers.
Abstract:
Systems and methods provide for scaling service discovery in a micro-service environment. A controller can inject a service discovery agent onto a host. At least one of the controller or the agent can identify a first set of micro-service containers that are dependencies of the first micro-service container and a second set of micro-service containers that are dependencies of the second micro-service container. At least one of the controller or the agent can update routing data for the first set of micro-service containers and the second set of micro-service containers. At least one of the controller or the agent can determine the second micro-service container has terminated on the host computing device. At least one of the controller or the agent can update the agent to remove the routing data for the second set of micro-service containers.
Abstract:
A network analytics controller is established in a network. The network includes a plurality of nodes. A plurality of network analytics agents is established; each agent at a node of the network. Network analytics configuration parameters, including a network analytics scope, are received at the networks analytics controller. A task is assigned to each agent at a node determined to be within the network analytics scope, the task comprising that portion of the network analytics specified in the network analytics configuration parameters relevant to the corresponding node. The assigned task is performed at each agent assigned a task. The networks analytics controller receives the results of each performed task, and aggregates the received results.
Abstract:
Systems and methods provide for scaling service discovery in a micro-service environment. A controller can inject a service discovery agent onto a host. At least one of the controller or the agent can identify a first set of micro-service containers that are dependencies of the first micro-service container and a second set of micro-service containers that are dependencies of the second micro-service container. At least one of the controller or the agent can update routing data for the first set of micro-service containers and the second set of micro-service containers. At least one of the controller or the agent can determine the second micro-service container has terminated on the host computing device. At least one of the controller or the agent can update the agent to remove the routing data for the second set of micro-service containers.
Abstract:
Disclosed are systems, methods, and computer-readable storage media for automatically, dynamically generating feature model augmentation statements for data nodes for a new network feature described in a data modeling language. A software-defined controller, or other network components, can detect the availability of a new network feature defined by a feature model in a data modeling language and process the feature model to create an authorization policy data defining access rules control rules for the new network feature. Based on the authorization policy, the controller or the authorization model generator can generate a set of augmentation statements for one or more data nodes in the feature model of the new network feature and augment the new feature model with the augmentation statements for controlling access to the new network feature.