Waheed I Qureshi, Age 601856 Zenato Pl, Pleasanton, CA 94566

7146377, Dec 5, 2006

May 6, 2003

10/431168

Kacper Nowicki - Warsaw, PL
Olaf W. Manczak - Hayward CA, US
Luis Ramos - Glendale CA, US
Waheed Qureshi - Pleasanton CA, US

Agami Systems, Inc. - Sunnyvale CA

G06F 17/30

707102, 707 10, 707101, 707103 R, 7071041, 707205

According to one embodiment, a metadata management system (MDS) may include partitioned migratable metadata. Metadata may be stored in multiple metadata partitions (- to -). Each metadata partition may be assigned to a particular system resource (- to -). According to predetermined policies, such as metadata aging, metadata stored in one metadata partition may be migrated to a different metadata partition. A forwarding object can be placed in the old metadata partition to indicate the new location of the migrated metadata. Metadata partitions (- to -) may be reassigned to different resources, split and/or merged allowing a high degree of scalability, as well as flexibility in meeting storage system needs.

7237027, Jun 26, 2007

Nov 10, 2000

09/709187

David Raccah - San Jose CA, US
George Feinberg - Windham ME, US
Olaf W. Manczak - Hayward CA, US
Kacper Nowicki - Hayward CA, US
Waheed Qureshi - Danville CA, US
Luis Ramos - Glendale CA, US

Agami Systems, Inc. - Sunnyvale CA

G06F 15/173

709226, 709213, 709217, 709224, 707 10, 714 4

According to one embodiment, a storage system () may include a gateway service (), metadata service () and storage service () that each provide different storage system functions. Each service ( and ) may include a plurality of servers that are functionally de-coupled from one another. De-coupled servers may service requests without regard to the operation of other servers of the same service. Such a de-coupled arrangement can allow a storage system () to be scaled to meet increasing demands, as servers may be added to a system, on a service by service basis, without necessarily re-indexing stored information or reconfiguring multiple instances of a server application. Further, backup servers may be easily added to the system to enable fault tolerance. Servers of a particular service ( and ) may be accessed according to a quality of service policy.

7490073, Feb 10, 2009

Dec 21, 2005

11/316214

Waheed Qureshi - Pleasanton CA, US
Tanvir Hassan - Alameda CA, US
Kelly Brian Roach - Palo Alto CA, US
Sekou Page - Santa Clara CA, US

Zenprise, Inc. - Fremont CA

G06F 17/00
G06N 5/02

706 50, 706 56

A method of encoding knowledge is disclosed, which can be used to automatically detect problems in software application deployments. The method includes accessing a source of knowledge describing a problem known to occur in deployments of a particular software application, and which identifies a plurality of conditions associated with the problem. An encoded representation of the knowledge source is generated according to a predefined knowledge encoding methodology. The encoded representation is adapted to be applied automatically by a computer to analyze data representing a current state of a monitored deployment of the software application to detect whether the conditions and the problem exist therein. In various implementations, the encoded representation of the knowledge can include queries for deployment information, information concerning the relative importance of the conditions to a detection of the problem, and/or logical constructs for computing a confidence value in the existence of the problem and for determining whether to report the problem if some of the conditions are not true. The knowledge source can comprise a text document (such as a knowledge base article), a flowchart of a diagnostic troubleshooting method, and the like.

7788536, Aug 31, 2010

Dec 21, 2005

11/316395

Waheed Qureshi - Pleasanton CA, US
Kelly Brian Roach - Palo Alto CA, US
Tanvir Hassan - Alameda CA, US
John M. McGinty - Fremont CA, US

Zenprise, Inc. - Fremont CA

G06F 11/00

714 38, 714 26, 714 48

A system for monitoring and analyzing the operation of a deployment of a software application is disclosed. The system includes a monitoring component, a repository that stores a plurality of rules, and an analysis engine. The monitoring component collects data values of each of a plurality of state metrics associated with the deployment of the software application. At least some of the rules in the repository map respective combinations of states associated with the state metrics to corresponding problems. The analysis engine programmatically detects instances of said problems, at least in-part, by using the rules to analyze the state metric data values collected by the monitoring component. The rules can also include remedies associated with the detected problems, and the system may include remedy selection and execution modules.

7865888, Jan 4, 2011

Dec 21, 2005

11/316696

Waheed Qureshi - Pleasanton CA, US
Nathan Watson - San Mateo CA, US
Tanvir Hassan - Alameda CA, US
Kelly Brian Roach - Palo Alto CA, US

Zenprise, Inc. - Fremont CA

G06F 9/45

717168, 717170, 717178

Systems and methods for obtaining information about a deployment of a software application are disclosed. One system comprises a plurality of deployment servers running components of the software application deployment, a plurality of monitors associated with the deployment servers, and an analysis subsystem that generates requests for state metrics from the deployment, based on rules describing known problems with the software application. The analysis subsystem transmits each request for state metrics to a monitor associated with a deployment server that is associated with the request. The monitors are configured to receive the requests for state metrics from the analysis subsystem and collect the state metrics from one of the components of the software application deployment. The monitors, which can reside on the deployment servers or locally with respect to the analysis subsystem, can transmit the collected state metrics back to the analysis subsystem. An application model storing a representation of objects of the deployment can also be provided, wherein the analysis subsystem queries the application model for deployment information necessary to transmit the requests for state metrics to appropriate ones of the monitors.

7870550, Jan 11, 2011

Dec 21, 2005

11/316202

Waheed Qureshi - Pleasanton CA, US
Kelly Brian Roach - Palo Alto CA, US
Tanvir Hassan - Alameda CA, US

Zenprise, Inc. - Fremont CA

G06F 9/45

717174, 717168, 717170

Systems and methods for managing a deployment of a software application are disclosed. One system comprises a machine-readable repository of rules describing problems associated with the software application, a monitoring component that collects state metrics from the deployment, and a problem detector that programmatically uses the rules to map combinations of the collected state metrics to problems.

7900201, Mar 1, 2011

Dec 21, 2005

11/316399

Waheed Qureshi - Pleasanton CA, US
Tanvir Hassan - Alameda CA, US
Kelly Brian Roach - Palo Alto CA, US

Zenprise, Inc. - Fremont CA

G06F 9/445

717174, 717120, 717124, 717168

Computer-implemented systems and methods for managing a deployment of a software application are disclosed. A method includes identifying problems with the deployment, each problem having a severity rating. For each identified problem, one or more associated remedies are identified, each remedy having a severity rating based on the severity rating of the problem with which the remedy is associated. The method further includes ranking the remedies based on the remedies' severity ratings. The remedies can be executed in order of rank. Also disclosed are systems and methods of preventing simultaneous execution of certain types of remedies, either on the deployment in general or on a set of components of the deployment. Also disclosed are methods for logging the results of executed remedies and their effect on deployment health.

7954090, May 31, 2011

Dec 21, 2005

11/316396

Waheed Qureshi - Pleasanton CA, US
Kelly Brian Roach - Palo Alto CA, US
Tanvir Hassan - Alameda CA, US

Zenprise, Inc. - Fremont CA

G06F 9/44
G01R 31/28

717127, 714 25, 714 47, 714 48, 714736

A system for monitoring and analyzing a deployment of a software application is disclosed. The system includes a monitoring component that collects streams of data values of time-variant state metrics associated with the deployment, and a feature detector that analyzes the streams to identify features known to be associated with potential problems. Detected features can include deviations of a signal from a normalcy band, a rising or descending trend in signal behavior, deviations from seasonal or cyclical normalcy bands, and the like.