Abstract: An apparatus to facilitate matchmaking-based enhanced debugging for microservices architectures is disclosed. The apparatus includes one or more processors to: detect, by an anomaly detector in a sidecar of a microservice hosted by a container, an anomaly in telemetry data generated by the microservice, the microservice hosted in a container executed by the processor and part of a service of an application; enable, by an enhanced debug and trace component of the sidecar, a debug mode in the microservice, the debug mode based on a type of the anomaly; collect, by the enhanced debug and trace component, a target set of data points generated by the microservice; and process, by the enhanced debug and trace component, the target set of data points with a matchmaking process to generate a timestamp and a tag for a context for each data point of the target set of data points.

Abstract: An apparatus to facilitate synthetic data generation for enhanced microservice debugging is disclosed. The apparatus includes one or more processors to: load a filter for a synthetic data generator for a service deployed in a datacenter system, the filter configured for the service based on service policies; prioritize synthetic parameters of the filter based on service parameters used to model microservices deployed for the service; generate a synthetic dataset for ingestion using the prioritized synthetic parameters in the filter of the synthetic data generator, the synthetic dataset generated by applying the synthetic parameters of the filter to an original infield dataset of the service; demultiplex the synthetic dataset in response to a synthetic activation profile generated using the synthetic dataset matching one or more monitored previous activation profiles of the service; and reverse map the demultiplexed synthetic dataset to match to original data in the original infield dataset.

Abstract: Methods and apparatus for distributing coolant between server racks are disclosed herein. An example apparatus described herein includes a compute node including a sensor and a first volume of coolant, a coolant storage, memory, and at least one processor to execute instructions to determine, based on an output of the sensor, if the first volume is effective to maintain a temperature of the compute node at a target temperature, in response to determining the first volume is not effective, reduce a computation load on the first compute node, and pump, from the coolant storage, a second volume of coolant to the compute node. In some examples, the coolant storage can be disposed underground.

Abstract: Systems, apparatuses and methods may provide for origination camera technology that generates a cell representation of a local space associated with an origination camera in a multicast domain, predicts that an object in the local space will exit the local space and enter one or more adjacent spaces associated with additional cameras in the multicast domain, and sends the cell representation and a trajectory of the object to the additional cameras before the object exits the local space. Additionally, transition camera technology may generate a leader election message based on a multicasted trajectory of an object and a predicted trajectory of the object, send the leader election message from a transition camera to one or more additional cameras in a multicast domain, and track the object in the local space in response to a leader notification message.

Abstract: An apparatus to facilitate provenance audit trails for microservices architectures is disclosed. The apparatus includes one or more processors to: obtain, by a microservice of a service hosted in a datacenter, provisioned credentials for the microservice based on an attestation protocol; generate, for a task performed by the microservice, provenance metadata for the task, the provenance metadata including identification of the microservice, operating state of at least one of a hardware resource or a software resource used to execute the microservice and the task, and operating state of a sidecar of the microservice during the task; encrypt the provenance metadata with the provisioned credentials for the microservice; and record the encrypted provenance metadata in a local blockchain of provenance metadata maintained for the hardware resource executing the task and the microservice.

Abstract: Embodiments described herein are generally directed to intelligent management of microservices failover. In an example, responsive to an uncorrectable hardware error associated with a processing resource of a platform on which a task of a service is being performed by a primary microservice, a failover trigger is received by a failover service. A secondary microservice is identified by the failover service that is operating in lockstep mode with the primary microservice. The secondary microservice is caused by the failover service to takeover performance of the task in non-lockstep mode based on failover metadata persisted by the primary microservice. The primary microservice is caused by the failover service to be taken offline.

Abstract: An apparatus to facilitate telemetry targeted query injection for enhanced debugging in microservices architectures is disclosed. The apparatus includes one or more processors to: identify contextual trace of a previous query recorded in collected data of a service, where microservices of the service responded to the previous query; access an interdependency flow graph representing an architecture and interaction of microservices deployed for a service; retrieve, based on the interdependency flow graph, telemetry data of the microservices corresponding to the contextual trace; identify, based on the telemetry data, an activation profile corresponding to the previous query, the activation profile detailing a response of the microservices to the previous query; compare the activation profile to a correlation profile for the previous query to detect whether an anomaly occurred in the service in response to the previous query; and recommend a modified query based on detection of the anomaly.

Abstract: Systems, apparatuses and methods may provide for technology that detects an unidentified individual at a first location along a trajectory in a scene based on a video feed of the scene, wherein the video feed is to be associated with a stationary camera, and selects a non-stationary camera from a plurality of non-stationary cameras based on the trajectory and one or more settings of the selected non-stationary camera. The technology may also automatically instruct the selected non-stationary camera to adjust at least one of the one or more settings, capture a face of the individual at a second location along the trajectory, and identify the unidentified individual based on the captured face of the unidentified individual.

Abstract: The application relates to an autonomous recommendation system, including: one or more BESs each configured to generate anonymous data representing customer-related information based on content streams from product-related cameras installed in a branch corresponding to the BES, and provide recommendation content to the branch based on the anonymous data; one or more ECSs each configured to aggregate the anonymous data from one or more BESs corresponding to respective branches in a region corresponding to the ECS to generate aggregated anonymous data shareable among regions corresponding to respective ECSs; and a DO configured to coordinate operations of the BESs and the ECSs based on predefined policies.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and triggering an automatic remediation process in response to an identification of the anomaly.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and triggering an automatic remediation process in response to an identification of the anomaly.

Abstract: Methods, apparatus, systems, and articles of manufacture to manage an edge infrastructure including a plurality of artificial intelligence models are disclosed. An example edge infrastructure apparatus includes a model data structure to identify a plurality of models and associated meta-data from a plurality of circuitry connectable via the edge infrastructure apparatus. The example apparatus includes model inventory circuitry to manage the model data structure to at least one of query for one or more models, add a model, update a model, or remove a model from the model data structure. The example apparatus includes model discovery circuitry to select at least one selected model of the plurality of models identified in the model data structure in response to a query. The example apparatus includes execution logic circuitry to inference the selected model.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for network service management. An example apparatus includes microservice translation circuitry to query, at a first time, a memory address range corresponding to a plurality of services, and generate state information corresponding to the plurality of services at the first time. The example apparatus also includes microservice request circuitry to query, at a second time, the memory address range to identify a memory address state change, the memory address state change indicative of an instantiation request for at least one of the plurality of services, and microservice instantiation circuitry to cause a first compute device to instantiate the at least one of the plurality of services.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to orchestrate intermittent surplus power in Edge networks. An example apparatus includes power unit analysis circuitry to identify a power surplus, analysis circuitry to (a) apply an acceleration factor to a first trigger threshold of a local task, the acceleration factor to set a second trigger threshold, and (b) designate the local task for early execution when a current metric corresponding to the local task satisfies the second trigger threshold, and adaptive power managing circuitry to execute the local task in response to detecting the designation for early execution.

Abstract: Systems, apparatuses and methods may provide for origination camera technology that extracts data from multimodal sensor signals associated with a scene and generates a five-dimensional (5D) representation of the scene, wherein the 5D representation includes a three-dimensional (3D) visual representation, a one-dimensional (1D) temporal representation, and a 1D branch representation. The technology may also store the 5D representation as a set of abstract descriptors.

Abstract: Techniques are disclosed to address issues related to the use of personalized training data to supplement machine learning trained models for Driver Monitoring System (DMS), and the accompanying mechanisms to maintain confidentiality of this personalized training data. The techniques disclosed herein also address issues related to maintaining transparency with respect to collected sensor data used in a DMS. Additionally, the techniques disclosed herein facilitate the generation of a digital representation of a driver for use as supplemental training data for the DMS machine learning trained models, which allow for DMS algorithms to be tailored to individual users.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for code review assistance for dynamically typed languages. An example apparatus to analyze a segment of code includes a function identifier to identify a first input of a first function call included in the segment of the code, a parameter type vector (PTV) estimator model to estimate a first data structure based on the first input, the PTV estimator model generated via a set of reviewed code, a PTV determiner to generate a second data structure based on a data parameter type of the first input, an error comparator to determine a first reconstruction error based on the first data structure, and the second data structure and a recommendation generator to, if the first reconstruction error does not satisfy a recommendation threshold, generate a first recommendation to review the first function call.

Abstract: Example methods, apparatus, and systems to facilitate service proxying are disclosed. An example apparatus includes interface circuitry to access a service request intercepted by from an infrastructure processing unit, the service request corresponding to a first node; instructions in the apparatus; and infrastructure sidecar circuitry to execute the instructions to: identify an active service instance corresponding to the service request; compare first telemetry data corresponding to the active service instance to a service quality metric; select a second node to service the service request based on the comparison and further telemetry data; and cause transmission of the service request to the second node.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for edge data prioritization. An example apparatus includes at least one memory, instructions, and processor circuitry to at least one of execute or instantiate the instructions to identify an association of a data packet with a data stream based on one or more data stream parameters included in the data packet corresponding to the data stream, the data packet associated with a first priority, execute a model based on the one or more data stream parameters to generate a model output, determine a second priority of at least one of the data packet or the data stream based on the model output, the model output indicative of an adjustment of the first priority to the second priority, and cause transmission of at least one of the data packet or the data stream based on the second priority.

Abstract: Systems, apparatuses and methods may provide for origination camera technology that generates a cell representation of a local space associated with an origination camera in a multicast domain, predicts that an object in the local space will exit the local space and enter one or more adjacent spaces associated with additional cameras in the multicast domain, and sends the cell representation and a trajectory of the object to the additional cameras before the object exits the local space. Additionally, transition camera technology may generate a leader election message based on a multicasted trajectory of an object and a predicted trajectory of the object, send the leader election message from a transition camera to one or more additional cameras in a multicast domain, and track the object in the local space in response to a leader notification message.