Patents by Inventor Daniel L. Osiecki

Daniel L. Osiecki 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: 10296435
    Abstract: Disclosed are various embodiments for processing and storing mass data, where the data may include metrics generated based on performance of an event in a monitored system. Metrics describing a state of a monitored system may be received, accessed, and aggregated to generate a data model that describes performance of the monitored system. The metrics utilized in generating the data model may be disregarded after the data model has been generated. An output describing the state of the monitored system may be generated based on the data model, and the output may be communicated over a network, for example, to a requesting service.
    Type: Grant
    Filed: December 28, 2016
    Date of Patent: May 21, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Daniel L. Osiecki, Prashant L. Sarma, Monty Vanderbilt, David R. Azari, Caitlyn R. Schmidt
  • Publication number: 20170111242
    Abstract: Disclosed are various embodiments for processing and storing mass data, where the data may include metrics generated based on performance of an event in a monitored system. Metrics describing a state of a monitored system may be received, accessed, and aggregated to generate a data model that describes performance of the monitored system. The metrics utilized in generating the data model may be disregarded after the data model has been generated. An output describing the state of the monitored system may be generated based on the data model, and the output may be communicated over a network, for example, to a requesting service.
    Type: Application
    Filed: December 28, 2016
    Publication date: April 20, 2017
    Inventors: Daniel L. Osiecki, Prashant L. Sarma, Monty Vanderbilt, David R. Azari, Caitlyn R. Schmidt
  • Patent number: 9563531
    Abstract: Disclosed are various in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
    Type: Grant
    Filed: August 12, 2014
    Date of Patent: February 7, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Daniel L. Osiecki, Prashant L. Sarma, Monty Vanderbilt, David R. Azari, Caitlyn R. Schmidt
  • Publication number: 20140365650
    Abstract: Disclosed are various in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
    Type: Application
    Filed: August 12, 2014
    Publication date: December 11, 2014
    Inventors: Daniel L. Osiecki, Prashant L. Sarma, Monty Vanderbilt, David R. Azari, Caitlyn R. Schmidt
  • Patent number: 8819497
    Abstract: Disclosed are various in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
    Type: Grant
    Filed: February 18, 2013
    Date of Patent: August 26, 2014
    Assignee: Amazon Technologies, Inc.
    Inventors: Daniel L. Osiecki, Prashant L. Sarma, Monty Vanderbilt, David R. Azari, Caitlyn R. Schmidt
  • Patent number: 8381039
    Abstract: Disclosed in various embodiments are systems and methods providing for storage of mass data such as metrics. A plurality of data models are generated in the server from a stream of metrics describing a state of a system. Each of the metrics is associated with one of a plurality of consecutive periods of time, and each data model represents the metrics associated with a corresponding one of the consecutive periods of time. The data models are stored in a data store and each of the metrics is discarded after use in generating at least one of the data models.
    Type: Grant
    Filed: June 29, 2009
    Date of Patent: February 19, 2013
    Assignee: Amazon Technologies, Inc.
    Inventors: Daniel L. Osiecki, Prashant L. Sarma, Monty Vanderbilt, David R. Azari, Caitlyn R. Schmidt