System to collect and visualize software usage metrics

Patent metadata

Field	Value
Publication number	US-10554516-B1
Application number	US-201615178387-A
Country	US
Kind code	B1
Filing date	Jun 9, 2016
Priority date	Jun 9, 2016
Publication date	Feb 4, 2020
Grant date	Feb 4, 2020

Abstract

Example embodiments involve a metrics collection system for collecting software usage metrics from one or more client devices at deployments. A computer, such as a server configured to execute the metrics collection system, collects software usage metrics (e.g., as a metrics submission from a client device) of the software product at the deployment, identifies a metrics type of the software usage metrics collected, assigns the software usage metrics to a metrics category, and calculates and updates a metrics score of the metrics category, based on the software usage metrics collected.

First claim

What is claimed is:

1. A system comprising:
one or more processors; and
a memory comprising instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving an input that defines a metrics interval of a deployment, the deployment comprising a plurality of client devices, the metrics interval defining a rate of metrics submissions from the plurality of client devices of the deployment;
configuring each of the plurality of devices associated with the deployment based on the metrics interval defined by the input, in response to the receiving the input that defines the metrics interval of the deployment;
receiving a set of metrics submissions as data packets from each of the plurality deployed system to collect a set of metrics submissions based on the rate defined by the metrics interval, the set of metrics submissions comprising a set of data packets that include usage metrics data of a software application executed by the deployment, a software identifier of the software application, and a deployment identifier of the deployment;
identifying a metrics type of the usage metrics data collected from the plurality of client devices that comprise the deployment;
assigning the usage metrics to a metrics category based on the metrics type of the usage metrics data;
causing display of a visualization interface at a client device, the visualization interface including a deployment selection menu that includes a display of a plurality of deployment identifiers that include the deployment identifier of the deployment;
receiving a visualization request from the client device, the visualization request comprising an identification of the metrics type of the usage metrics data, and a selection of the deployment identifier of the deployment from among the plurality of deployment identifiers of the deployment selection menu;
generating a visualization based on the usage metrics data associated with the metrics category and received from the plurality of client devices of the deployment in response to the visualization request that comprises the identification of the metrics type and the selection of the deployment identifier of the deployment; and
causing display of a presentation of the visualization at the client device, the presentation of the visualization including at least the deployment identifier of the deployment, and an indication of a number of client devices that comprise the deployment.

2. The system of claim 1 , wherein the visualization request further comprises a visualization type, and the operations further comprise:
generating the visualization of the usage metrics data at the client device, the visualization based on the visualization type, and the metrics category.

3. The system of claim 2 , wherein the visualization request from the client device includes a visualization type selected from among a set of visualization types presented in a drop-down menu.

4. The system of claim 1 , wherein the usage metrics data of the software application includes at least one selected from the group:
a frequency of use of the software application;
a number of deployed systems implementing the software application;
a number of unique users of the software application;
a list of actions executed with the software application; and
a performance metric of the software application.

5. The system of claim 1 , wherein the receiving the metrics submission includes:
retrieving the metrics submission from each of the plurality of client devices of the deployment at the rate defined by the metric interval.

6. The system of claim 5 , wherein the metrics request includes a set of requested metrics type indicators, and wherein the usage metrics data of the metrics submission from the deployed system is based on the set of requested metrics type indicators.

7. The system of claim 1 , wherein the receiving of the metrics submission includes receiving a metrics submission request from at least a portion of the plurality of client devices of the deployment.

8. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
receiving an input that defines a metrics interval of a deployment, the deployment comprising a plurality of client devices, the metrics interval defining a rate of metrics submissions from the plurality of client devices of the deployment;
configuring each of the plurality of devices associated with the deployment based on the metrics interval defined by the input, in response to the receiving the input that defines the metrics interval of the deployment;
receiving a set of metrics submissions as data packets from each of the plurality deployed system to collect a set of metrics submissions based on the rate defined by the metrics interval, the set of metrics submissions comprising a set of data packets that include usage metrics data of a software application executed by the deployment, a software identifier of the software application, and a deployment identifier of the deployment;
identifying a metrics type of the usage metrics data collected from the plurality of client devices that comprise the deployment;
assigning the usage metrics to a metrics category based on the metrics type of the usage metrics data;
causing display of a visualization interface at a client device, the visualization interface including a deployment selection menu that includes a display of a plurality of deployment identifiers that include the deployment identifier of the deployment;
receiving a visualization request from the client device, the visualization request comprising an identification of the metrics type of the usage metrics data, and a selection of the deployment identifier of the deployment from among the plurality of deployment identifiers of the deployment selection menu;
generating a visualization based on the usage metrics data associated with the metrics category and received from the plurality of client devices of the deployment in response to the visualization request that comprises the identification of the metrics type and the selection of the deployment identifier of the deployment; and
causing display of a presentation of the visualization at the client device, the presentation of the visualization including at least the deployment identifier of the deployment, and an indication of a number of client devices that comprise the deployment.

9. The non-transitory machine-readable storage medium of claim 8 , wherein the visualization request further comprises a visualization type, and the operations further comprise:
generating the visualization of the usage metrics data at the client device, the visualization based on the visualization type, and the metrics category.

10. The non-transitory machine-readable storage medium of claim 9 , wherein the visualization request from the client device includes a visualization type from among a set of visualization types.

11. The non-transitory machine-readable storage medium of claim 8 , wherein the usage metrics data of the software application includes:
a frequency of use of the software application;
a number of deployed systems implementing the software application;
a number of unique users of the software application;
a list of actions executed with the software application; and
a performance metric of the software application.

12. The non-transitory machine-readable storage medium of claim 8 , wherein the instructions for receiving the metrics submission at the system further comprise:
retrieving the metrics sub

Assignees

• Palantir Technologies Inc

Inventors

• Moore Cody
• Gao Yiwei
• Colombi Andrew
• Karesh David
• Ward William
• Ince-Cushman Alexander
• Bukhari Mohammad
• Kozlowski Daniel
• Richardson Jason

Classifications

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04N1/00506 Primary

  Customising to the data to be displayed · CPC title

• H04L43/045 Primary

  for graphical visualisation of monitoring data · CPC title

• H04L67/42

  Electricity · mapped topic

• H04L67/01

  Protocols · CPC title