Patents by Inventor Michael Nazario

Michael Nazario has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10783053
    Abstract: Errors encountered by executing applications can be recorded in one or more logs. A search engine can be configured to retrieve error data from the one or more logs using pre-specified rules. A portion of the error data can be included in a small portable message (e.g., SMS text message) and sent to the developers or administrators of the applications. An administrative console can generate different visualizations based upon what errors the search engine retrieved.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: September 22, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Lauren DeMeuse, Grant Wu, Garren Riechel, Ian Mair, Michael Nazario
  • Patent number: 10558454
    Abstract: One or more software products/services may be installed on a cloud deployment. Product versions of such services can be upgraded (or rolled back) based on a deployment plan comprising tasks adapted to reach a target deployment state. A central upgrade server can forward tasks to an upgrade agent for execution, the tasks being based on a current operational state of the cloud deployment (obtained by the upgrade agent) and one or more constraints. In multiple node deployments, some nodes may be upgraded to a new product version, while other nodes are kept at a current product version until stability of the new product version is determined. Traffic across nodes can be shaped to ensure a deployment is healthy before upgrading other nodes/deployments. If the health of a node/deployment does not meet specified criteria, an upgrade can be stopped, an alert can be triggered, and the node/deployment can be rolled back.
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: February 11, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Ian Mair, Greg DeArment, Lee Avital, Mark Elliot, Michael Nazario, Punyashloka Biswal, William Hickman
  • Publication number: 20200013203
    Abstract: Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.
    Type: Application
    Filed: September 18, 2019
    Publication date: January 9, 2020
    Inventors: Sean Kelley, Dylan Scott, Ayush Sood, Kevin Verdieck, Izaak Baker, Eliot Ball, Zachary Bush, Allen Cai, Jerry Chen, Aditya Dahiya, Daniel Deutsch, Calvin Fernandez, Jonathan Hong, Jiaji Hu, Audrey Kuan, Lucas Lemanowicz, Clark Minor, Nicholas Miyake, Michael Nazario, Brian Ngo, Mikhail Proniushkin, Siddharth Rajgarhia, Christopher Rogers, Kayo Teramoto, David Tobin, Grace Wang, Wilson Wong, Holly Xu, Xiaohan Zhang
  • Publication number: 20190369980
    Abstract: One or more software products/services may be installed on a cloud deployment. Product versions of such services can be upgraded (or rolled back) based on a deployment plan comprising tasks adapted to reach a target deployment state. A central upgrade server can forward tasks to an upgrade agent for execution, the tasks being based on a current operational state of the cloud deployment (obtained by the upgrade agent) and one or more constraints. In multiple node deployments, some nodes may be upgraded to a new product version, while other nodes are kept at a current product version until stability of the new product version is determined. Traffic across nodes can be shaped to ensure a deployment is healthy before upgrading other nodes/deployments. If the health of a node/deployment does not meet specified criteria, an upgrade can be stopped, an alert can be triggered, and the node/deployment can be rolled back.
    Type: Application
    Filed: February 6, 2019
    Publication date: December 5, 2019
    Inventors: Ian Mair, Greg DeArment, Lee Avital, Mark Elliot, Michael Nazario, Punyashloka Biswal, William Hickman
  • Patent number: 10460486
    Abstract: Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.
    Type: Grant
    Filed: September 8, 2017
    Date of Patent: October 29, 2019
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Sean Kelley, Dylan Scott, Ayush Sood, Kevin Verdieck, Izaak Baker, Eliot Ball, Zachary Bush, Allen Cai, Jerry Chen, Aditya Dahiya, Daniel Deutsch, Calvin Fernandez, Jonathan Hong, Jiaji Hu, Audrey Kuan, Lucas Lemanowicz, Clark Minor, Nicholas Miyake, Michael Nazario, Brian Ngo, Mikhail Proniushkin, Siddharth Rajgarhia, Christopher Rogers, Kayo Teramoto, David Tobin, Grace Wang, Wilson Wong, Holly Xu, Xiaohan Zhang
  • Publication number: 20190243619
    Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
    Type: Application
    Filed: April 15, 2019
    Publication date: August 8, 2019
    Applicant: Palantir Technologies Inc.
    Inventors: ROBERT FINK, MATTHEW CHEAH, MINGYU KIM, LYNN CUTHRIELL, DIVYANSHU ARORA, JUSTIN UANG, JARED NEWMAN, JAKOB JUELICH, KEVIN CHEN, MARK ELLIOT, MICHAEL NAZARIO
  • Publication number: 20190222490
    Abstract: Methods, systems and computer programs are disclosed for managing data bugs in a data processing system comprising one or more data resources. The method may comprise receiving an indication of one or more bugs relating to one or more data resources, and contextual information for the one or more bugs and determining, from the received indication, one or more bug types and grouping the bugs by bug type for the same data resource to produce a aggregated list of open issues requiring fixing. Further operations may comprise presenting the aggregated list of one or more open issues on a user interface for selection, the one or more open issues being selectable, and, responsive to receiving selection of a particular open issue, presenting contextual information for the one or more bugs within the group on the user interface.
    Type: Application
    Filed: March 29, 2018
    Publication date: July 18, 2019
    Inventors: Amr Al Mallah, Mahmoud Abdelsalam, Michael Nazario, Peter Wang, Vivek Lakshmanan
  • Patent number: 10261763
    Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
    Type: Grant
    Filed: December 12, 2017
    Date of Patent: April 16, 2019
    Assignee: Palantir Technologies Inc.
    Inventors: Robert Fink, Matthew Cheah, Mingyu Kim, Lynn Cuthriell, Divyanshu Arora, Justin Uang, Jared Newman, Jakob Juelich, Kevin Chen, Mark Elliot, Michael Nazario
  • Publication number: 20180165072
    Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
    Type: Application
    Filed: December 12, 2017
    Publication date: June 14, 2018
    Applicant: Palantir Technologies Inc.
    Inventors: Robert Fink, Matthew Cheah, Mingyu Kim, Lynn Cuthriell, Divyanshu Arora, Justin Uang, Jared Newman, Jakob Juelich, Kevin Chen, Mark Elliot, Michael Nazario
  • Publication number: 20180011626
    Abstract: Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.
    Type: Application
    Filed: September 8, 2017
    Publication date: January 11, 2018
    Inventors: Sean Kelley, Dylan Scott, Ayush Sood, Kevin Verdieck, Izaak Baker, Eliot Ball, Zachary Bush, Allen Cai, Jerry Chen, Aditya Dahiya, Daniel Deutsch, Calvin Fernandez, Jonathan Hong, Jiaji Hu, Audrey Kuan, Lucas Lemanowicz, Clark Minor, Nicholas Miyake, Michael Nazario, Brian Ngo, Mikhail Proniushkin, Siddharth Rajgarhia, Christopher Rodgers, Kayo Teramoto, David Tobin, Grace Wang, Wilson Wong, Holly Xu, Xiaohan Zhang
  • Patent number: 9792020
    Abstract: Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.
    Type: Grant
    Filed: May 4, 2016
    Date of Patent: October 17, 2017
    Assignee: Palantir Technologies Inc.
    Inventors: Sean Kelley, Dylan Scott, Ayush Sood, Kevin Verdieck, Izaak Baker, Eliot Ball, Zachary Bush, Allen Cai, Jerry Chen, Aditya Dahiya, Daniel Deutsch, Calvin Fernandez, Jonathan Hong, Jiaji Hu, Audrey Kuan, Lucas Lemanowicz, Clark Minor, Nicholas Miyake, Michael Nazario, Brian Ngo, Mikhail Proniushkin, Siddharth Rajgarhia, Christopher Rodgers, Kayo Teramoto, David Tobin, Grace Wang, Wilson Wong, Holly Xu, Xiaohan Zhang