Zenprise, Inc.

Sensage, Inc.

Nathan Watson

Waheed Qureshi

Kelly Brian Roach

Eric Karlson

Tanvir Hassan

Adam D Sah

Cimarron Taylor

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. The monitors can be configured to conduct post-processing of collected state metrics, and also to prevent redundant collection.

Systems and methods for gathering deployment state for automated management of software application deployments

Table data is stored by parsing the table data into columns of values, formatting each column into a data stream, and transferring each data stream to a storage device for storage as a continuous strip of data. The strip of data is stored as a file that is not structured as a series of pages. The formatting of the data stream may include compressing the column values to minimize the length of the data strip. A particular compression procedure may be used that derives a code for each value in the column from a number of occurrences of the value in the column and replaces the value in the data stream with the corresponding code.

Storage of row-column data

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San Mateo, CA, United States of America

Nathan Watson