A technique for improving system administration involves implementing system administration agent programs on a plurality of devices in an administered network. A deployment agent deploys the system administration agent program or a portion thereof to suitable devices when they are detected. System monitoring agents monitor the administered network to generate data. A reporting engine sends agent reports including the generated data to a system administration server. The system administration server facilitates administration of the administered network in real time.

One embodiment provides a system that indicates conditions associated with received content. During operation, the system generates, by a first computing device, an interest message which includes a name, wherein the interest message further includes a verification token which is a hash of a nonce. In response to transmitting the interest message to a second computing device, the system receives a content object message which includes a same name as the name for the interest message. In response to detecting a condition associated with the content object message, the system generates a content object return message which includes the nonce and a same name as the name for the content object message. The system forwards the content object return message to the second computing device, thereby facilitating the second computing device to process the content object return message.

A monitoring system intelligently captures Document Object Model (DOM) events. The DOM events may provide state information that may not usually be captured during a web session. To reduce processing bandwidth, content identifiers may be used to represent some DOM events. Checkpoints may be identified during the web session and a current state of the webpage may be captured to provide replay synchronization. Different data may be captured based on a sequence and timing of the DOM events during the original web session. Data exchanged with third party websites also may be selectively captured to provide a more through simulation of the original web session.

Autonomous management of resources by an administrative node network is disclosed, including: receiving, at a first node of a plurality of nodes associated with an administrative node network, a resource request directed to the administrative node network, wherein the administrative node network is associated with managing a set of resources; obtaining a first proposal with respect to the resource request; obtaining a second proposal with respect to the resource request from a second node of the plurality of nodes associated with the administrative node network; and determining a processing consensus associated with the resource request based at least in part on the first proposal and the second proposal.

A system and method manages communications between applications and multiple user computing systems, according to one embodiment. The method and system includes establishing one or more virtual assets in an asset computing environment and installing an application onto the one or more virtual assets in the asset computing environment, according to one embodiment. The system and method receives a first request from a first user computing system and a second request from a second user computing system and delivers the first request and the second request to the application, according to one embodiment. The system and method receives a first result from the application for the first request and a second result from the application for the second request and distributes the first result to the first user computing system and the second result to the second computing system, according to one embodiment.

A method includes collecting, at a monitoring and recovery node, a virtual network function key performance index data through multiple channels from a corresponding containerized virtual network function. The method includes maintaining, at the monitoring and recovery node, state information of the corresponding containerized virtual network function and running, at the monitoring and recovery node, a machine learning algorithm that, once trained, learns and predicts whether the corresponding containerized virtual network function requires one of a scaling, a healing or a context switching to sister virtual network function to yield a determination and meet the service level agreement of a network service.

In an aspect of the disclosure, a method, a computer-readable medium, and a computer system are provided. The computer system includes a baseboard management controller (BMC). The BMC receives a first message from a first remote device on a management network. The BMC determines whether the first message is directed to a storage service or fabric service running on a host of the BMC. The host is a storage device. The BMC extracts a service management command from the first message, when the first message is directed to the storage service or fabric service. The BMC sends, through a BMC communication channel to the host, a second message containing the service management command to the host. The BMC communication channel established for communicating baseboard management commands between the BMC and the host.

A threat management facility stores a number of entity models that characterize reportable events from one or more entities. A stream of events from compute instances within an enterprise network can then be analyzed using these entity models to detect behavior that is inconsistent or anomalous for one or more of the entities that are currently active within the enterprise network.

In one embodiment, a method includes receiving a user query inputted on a head-mounted device from the head-mounted device, wherein the user query corresponds to multiple dialog-intents, executing multiple tasks corresponding to the multiple dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the multiple tasks, wherein the stitching model combines the two or more of the execution results based on natural language processing, and wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and sending instructions to the head-mounted device for presenting the multi-perspective response on the head-mounted device.

An apparatus includes a plurality of mounting slots each configured to mount an electronic part including a first memory. The apparatus collects, through a first path, from the electronic part mounted on each of the plurality of mounting slots, event information indicating an operating state of the electronic part, and stores the collected event information in a second memory included in the apparatus. When the event information stored in the second memory has a first level of importance, the apparatus causes the event information stored in the second memory to be stored, through a second route, in the first memory of the electronic part from which the event information having the first level of importance has been collected.