Resumes
Resumes
Prashant Sarma Phones & Addresses
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Bellevue, WA
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4312 230Th Pl SE, Bothell, WA 98021
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Redmond, WA
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Lexington, KY
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18630 NE 59Th Ct APT O201, Redmond, WA 98052
Work
Position:
Clerical/White Collar
Education
Degree:
High school graduate or higher
Publications
Us Patents
Storage Of Mass Data For Monitoring
View pageUS Patent:
8381039, Feb 19, 2013
Filed:
Jun 29, 2009
Appl. No.:
12/493558
Inventors:
Daniel L. Osiecki - Seattle WA, US
Prashant L. Sarma - Bellevue WA, US
Monty Vanderbilt - Seattle WA, US
David R. Azari - Seattle WA, US
Caitlyn R. Schmidt - Seattle WA, US
Prashant L. Sarma - Bellevue WA, US
Monty Vanderbilt - Seattle WA, US
David R. Azari - Seattle WA, US
Caitlyn R. Schmidt - Seattle WA, US
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06F 11/34
G06F 11/30
G06F 11/30
US Classification:
714 45, 714 33, 714 37, 714 471
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.
Storage Of Mass Data For Monitoring
View pageUS Patent:
8032797, Oct 4, 2011
Filed:
Jun 29, 2009
Appl. No.:
12/493586
Inventors:
Monty Vanderbilt - Seattle WA, US
Prashant L. Sarma - Bellevue WA, US
David R. Azari - Seattle WA, US
Brian Dennehy - Dublin, IE
Prashant L. Sarma - Bellevue WA, US
David R. Azari - Seattle WA, US
Brian Dennehy - Dublin, IE
Assignee:
Amazon Technologies, Inc. - Reno NV
International Classification:
G06F 11/00
US Classification:
714 45, 714 37, 714 472
Abstract:
A plurality of data models are generated in a server from a stream of metrics describing a state of at least one system. Each of the data models represents a time grouping of a subset of the metrics. One or more dimensions are associated with each of the metrics. The data models are stored in association with respective ones of the dimensions in a memory. The dimensions with which the data models are associated in the memory are increased based upon an appearance of at least one previously non-existing dimension associated with a metric in the stream.
Computerized Methods And Systems For Implementing Access Control To Time Series Data
View pageUS Patent:
20190197246, Jun 27, 2019
Filed:
Dec 22, 2017
Appl. No.:
15/851801
Inventors:
- Redwood Shores CA, US
Prashant L. SARMA - Bellevue WA, US
Heng Zhe DUAN - Bellevue WA, US
Mykyta SYNYTSKYY - Seattle WA, US
Prashant L. SARMA - Bellevue WA, US
Heng Zhe DUAN - Bellevue WA, US
Mykyta SYNYTSKYY - Seattle WA, US
International Classification:
G06F 21/60
G06F 17/30
G06F 21/62
G06F 17/30
G06F 21/62
Abstract:
Systems, methods, and other embodiments associated with implementing access control to time series data are described. In one embodiment, a method includes associating streams of time series data to a group and assigning the group to an access control container. The example method may also include defining an access policy specifying access control rules for authorizing access to the time series data. The example method may also include receiving a request from a requestor to access the time series data of the group through the access control container. The example method may also include executing the access control rules within the access policy to either deny the request or allow implementation of the request.
Storage Of Mass Data For Monitoring
View pageUS Patent:
20170111242, Apr 20, 2017
Filed:
Dec 28, 2016
Appl. No.:
15/392104
Inventors:
- Seattle WA, US
Prashant L. Sarma - Bellevue WA, US
Monty Vanderbilt - Seattle WA, US
David R. Azari - Seattle WA, US
Caitlyn R. Schmidt - Seattle WA, US
Prashant L. Sarma - Bellevue WA, US
Monty Vanderbilt - Seattle WA, US
David R. Azari - Seattle WA, US
Caitlyn R. Schmidt - Seattle WA, US
International Classification:
H04L 12/26
H04L 29/08
H04L 29/08
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.
Storage Of Mass Data For Monitoring
View pageUS Patent:
20140365650, Dec 11, 2014
Filed:
Aug 12, 2014
Appl. No.:
14/457300
Inventors:
- Reno NV, US
Prashant L. Sarma - Redmond WA, US
Monty Vanderbilt - Seattle WA, US
David R. Azari - Seattle WA, US
Caitlyn R. Schmidt - Seattle WA, US
Prashant L. Sarma - Redmond WA, US
Monty Vanderbilt - Seattle WA, US
David R. Azari - Seattle WA, US
Caitlyn R. Schmidt - Seattle WA, US
International Classification:
H04L 12/26
US Classification:
709224
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.