Machine data reflecting operation of a monitored system is ingested and made available for search by a data intake and query system (DIQS). A monitoring function may search the data ingested by the DIQS to determine instances of notable events in regards to the monitored system and may further determine a defined invokable action message (IAM) associated with a notable event instance. Processing ensues to send an IAM to a communications device used by support personnel. The IAM includes information about an action invocation message (AIM) suitable to cause the performance of an action that possibly remedies or improves an operational condition represented by the notable event. Support personnel engages a user interface representation corresponding to the AIM and the AIM is sent to a remedial node where performance of the action is invoked.

The present technology is directed to signaling unreachability of a network device, more specifically, a prefix of the network device in network that utilizes route summarization. A pulse trigger agent can detect an unreachability of at least one Provider Edge (PE) device in a network domain of a network and determine that a route summarization is being used within the network where the unreachability of the at least one PE device is hidden by the route summarization. A pulse distribution agent can transmit a failure message informing other PE devices of the unreachability of the at least one PE device.

Disclosed is a method for managing an application instance by a multi-access edge computing orchestrator (MEO) in a multi-access edge computing (MEC) system in a 5G or 6G communication system for supporting a higher data transmission rate, with the method including receiving, from an operational support system (OSS), an application instantiation request including a completion timer in which to finish the instantiation request; selecting at least one MEC platform manager (MEPM) for requesting the application instantiation; transmitting, to the selected MEPM, the application instantiation request; and transmitting, to the OSS, a response indicating that the application instantiation has failed, in case that the completion timer expires before receiving a configuration response from the selected MEPM.

An approach is provided that identifies Internet of Things (IoT) network anomalies. The approach receives IoT endpoint device data at an attestation entity included in the network. The data is logged to a secured ledger and analyzed. Conditions pertaining to the IoT endpoint devices are analyzed with the analysis being based on a set of network policy data. Based on the analysis, the approach detects network anomalies that correspond to the IoT endpoint devices. These network anomalies and their corresponding IoT endpoint devices are then reported.

An approach is provided that identifies Internet of Things (IoT) network anomalies. The approach receives IoT endpoint device data at an attestation entity included in the network. The data is logged to a secured ledger and analyzed. Conditions pertaining to the IoT endpoint devices are analyzed with the analysis being based on a set of network policy data. Based on the analysis, the approach detects network anomalies that correspond to the IoT endpoint devices. These network anomalies and their corresponding IoT endpoint devices are then reported.

A method performed by a network controller for providing network reliability. The method includes employing an Interior Gateway Protocol (IGP) proxy configured to communicate controller information about the network controller to the one or more network elements using IGP (Link-State Advertisement (LSA) or Link State Protocol Data Unit (LSP)) with a Controllers TLV. The method uses the controller information for proper election of a primary controller in the event of a network failure.

A method performed by a network controller for providing network reliability. The method includes employing an Interior Gateway Protocol (IGP) proxy configured to communicate controller information about the network controller to the one or more network elements using IGP (Link-State Advertisement (LSA) or Link State Protocol Data Unit (LSP)) with a Controllers TLV. The method uses the controller information for proper election of a primary controller in the event of a network failure.

The present disclosure relates to a system comprising an alarm management module (AMM) that receives an alarm raised by an application running on a network function virtualization unit (NFVU) infrastructure, said NFVU infrastructure comprising a virtualization layer; and facilitates enrichment of the received alarm with NFVU infrastructure specific information based on a physical-and-virtual inventory associated with the NFVU infrastructure, said NFVU infrastructure specific information pertaining to hardware and virtual resources of the NFVU infrastructure that are involved in running said application. The AMM can further receive an infrastructure alarm pertaining to a hardware resource that forms part of the NFVU infrastructure, said infrastructure alarm being associated with a failure of or a potential functional error of the hardware resource; and facilitate enrichment of the received infrastructure alarm information with application information, said application information pertaining to at least one application that is impacted by the hardware resource.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.