Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

Abstract: Various systems and methods for implementing automatic model generation for performance monitoring are described herein. A performance monitoring system includes a model manager to: identify a performance model that predicts performance of an operational node, the performance model based on telemetry data from the operational node; and implement an automatic verification operation to analyze the performance model and revise the performance model when the performance model is no longer valid; and an event processor to: initiate a remedial action at the operational node when the performance model indicates an alert state.

Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

Abstract: Various systems and methods for implementing automatic model generation for performance monitoring are described herein. A performance monitoring system includes a model manager to: identify a performance model that predicts performance of an operational node, the performance model based on telemetry data from the operational node; and implement an automatic verification operation to analyze the performance model and revise the performance model when the performance model is no longer valid; and an event processor to: initiate a remedial action at the operational node when the performance model indicates an alert state.

Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

Abstract: Technologies for provisioning jobs to servers at a datacenter include a compute device to identify a class of each of a plurality of available servers in the datacenter, wherein the class is indicative of a set of hardware included on the corresponding server. The compute device selects a workload that includes a plurality of jobs to provision to a subset of the available servers and determines a provisioning configuration for the workload from a set of prospective configurations as a function of a rack utilization of each prospective configuration, the classes utilized by each prospective configuration, and a number of racks utilized by each prospective configuration. The provisioning configuration identifies a subset of the available servers to which to provision the jobs of the workload.

Abstract: Various systems and methods for implementing automatic model generation for performance monitoring are described herein. A performance monitoring system includes a model manager to: identify a performance model that predicts performance of an operational node, the performance model based on telemetry data from the operational node; and implement an automatic verification operation to analyze the performance model and revise the performance model when the performance model is no longer valid; and an event processor to: initiate a remedial action at the operational node when the performance model indicates an alert state.

Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

Abstract: Various systems and methods for implementing automatic model generation for performance monitoring are described herein. A performance monitoring system includes a model manager to: identify a performance model that predicts performance of an operational node, the performance model based on telemetry data from the operational node; and implement an automatic verification operation to analyze the performance model and revise the performance model when the performance model is no longer valid; and an event processor to: initiate a remedial action at the operational node when the performance model indicates an alert state.

Abstract: Technologies for provisioning jobs to servers at a datacenter include a compute device to identify a class of each of a plurality of available servers in the datacenter, wherein the class is indicative of a set of hardware included on the corresponding server. The compute device selects a workload that includes a plurality of jobs to provision to a subset of the available servers and determines a provisioning configuration for the workload from a set of prospective configurations as a function of a rack utilization of each prospective configuration, the classes utilized by each prospective configuration, and a number of racks utilized by each prospective configuration. The provisioning configuration identifies a subset of the available servers to which to provision the jobs of the workload.

Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

Abstract: Examples include techniques to generate workload performance fingerprints for cloud infrastructure elements. In some examples, performance metrics are obtained from resource elements or nodes included in an identified sub-graph that represents at least a portion of configurable computing resources of a cloud infrastructure. For these examples, averages for the performance metrics are determined and then stored at a top-level context information node for the identified sub-graph to represent a workload performance fingerprint for the identified sub-graph.