Bitdrift, Inc.

Synapsense Corporation

Lyft, Inc.

Yann Thomas Ramin

Behrooz Badii

Jeffrey Tsvi Pinner

Nathaniel Joseph Oorloff

Raju Pandey

Kirti Agarwal

Patrick Edward Weston

Abraham Davis Fechter

Seokman Paul Han

Rituparna Ghosh

Sean L Bell

A computing platform may be configured to (i) receive metric data for a metric that was produced by a metric producer, (ii) identify a metric handling rule that applies to the metric, wherein the identified metric handling rule comprises a handling action of storing metric data for the metric in a specified storage location (e.g., a different tier of a multi-tier storage architecture), and (iii) handle the received metric data for the metric in accordance with the identified metric handling rule by storing the received metric data in the specified storage location.

Systems and methods for managing metric data

A computing system configured to (i) obtain a set of key-value pairs, wherein each key-value pair corresponds to a respective timestamp in a period of time, (ii) for at least one timestamp in the given period of time: (a) identify a first subset of the key-value pairs corresponding to the timestamp, (b) sort the first subset, and (c) generate a subset of compression values for the sorted first subset, (iii) for at least one key: (a) identify a second subset of the key-value pairs corresponding to the key, (b) sort the second subset, and (c) generate a subset of compression values for the sorted second subset, and (iv) store a set of compression values comprising (a) the subset of compression values that is generated for each of the at least one timestamp and (b) the subset of compression values that is generated for each of the at least one key.

Systems and methods for compressing digital data

A computing platform may be configured to (i) perform an analysis of a saved query comprising an expression that specifies a set of one or more unique metrics for which metric data is to be fetched from a metrics management platform when the saved query is run, (ii) determine a strategy for reducing a cardinality level of the saved query based at least in part on the analysis of the saved query, and (iii) cause the saved query to be modified in accordance with the determined strategy for reducing the cardinality level of the saved query.

Systems and methods for reducing the cardinality of metrics queries

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate compressed metric data for digital metrics utilizing a graph-based compression dictionary and time slice compression. For instance, the disclosed systems can utilize a dynamically modifiable graph-based compression dictionary to generate compressed metric label identifiers for metric labels of digital metrics. The graph-based compression dictionary can include nodes and edges corresponding to metric label segments and metric label identifier values, respectively. The disclosed systems can traverse the graph-based compression dictionary using a metric label to determine the corresponding compressed metric label identifier. The disclosed systems can further generate delta compression values for the metric values of the digital metrics. For instance, the disclosed systems can compare metric values within a single time slice (e.g., a time stamp) to generate corresponding delta compression values. In some cases, the disclosed systems further compare the metric values across a time window.

Compressing digital metrics for transmission across a network utilizing a graph-based compression dictionary and time slice delta compression

Various embodiments provide an apparatus and method for instrumenting devices to measure power usage using a multi-tier wireless network. An example embodiment includes: establishing communication with a plurality of networked power monitors deployed at particular points in a facility, each power monitor of the plurality of networked power monitors being configured to monitor power consumption of a different one of a plurality of electronic devices in the facility; periodically obtaining system data from each of the plurality of networked power monitors using a wireless sensor network, the system data including power consumption data corresponding to associated electronic devices; using a communication hub to aggregate the system data from a plurality of associated power monitors, the communication hub and the plurality of associated power monitors forming a local network within the wireless sensor network; and using the system data to control operation of the plurality of electronic devices in the facility.

Apparatus and method for instrumenting devices to measure power usage using a multi-tier wireless network

Various embodiments provide an apparatus and method for collecting and distributing power usage data from Rack Power Distribution Units (RPDUs) using a wireless sensor network. An example embodiment includes: establishing communication with a plurality of Rack Power Distribution Units (RPDUs) deployed at particular points in a facility, each RPDU of the plurality of RPDUs being configured to monitor power consumption of a plurality of electronic devices in the facility; periodically obtaining system data from each of the plurality of RPDUs, the system data including power consumption data corresponding to associated electronic devices, the system data being received from the plurality of RPDUs via a wired data connection; using a wireless bridge device to aggregate the system data from a plurality of associated RPDUs, the wireless bridge device transferring the aggregated system data to a gateway via a wireless sensor network; and using the system data to control operation of the plurality of electronic devices in the facility via the wireless bridge device and the plurality of associated RPDUs.

Apparatus and method for collecting and distributing power usage data from rack power distribution units (RPDUs) using a wireless sensor network

Various embodiments provide an apparatus and method for visualizing environmental conditions in a data center using wireless sensor networks. An example embodiment includes: establishing communication with a plurality of networked environmental sensors deployed at particular points in one of a plurality of pre-defined layers for a facility; periodically obtaining measured environmental data values from each of the plurality of networked environmental sensors using a wireless sensor network; using the measured environmental data values at the particular points to extrapolate computed environmental data values at intermediate points in the facility; and using the measured environmental data values and the computed environmental data values to generate a visualization of environmental conditions in the facility.

Growing community of inventors

Folsom, CA, United States of America

Yann Thomas Ramin