Salesforce Com, Inc.

Salesforce, Inc.

Siebel Systems, Inc.

Oracle International Corporation

Tony Wong

Raksha Subramanyam

Amey Ruikar

Aishwarya Kumar

Wayne Rantala

Shailesh Dinkar Govande

Kevin Wang

Charles Weichih Kuo

Nigel Paul King

Suhas Rohit Mehta

Olumayokun Obembe

Do Joon Ra

Anping Wang

Da Zhao

Yoram Tal

Ramzi Rabah

Denis J Tyrell

Jinghuan Jay Lu

Ming W Lam

Tulasi Ram Kodali

Jing Chen

Linda M Bao

Bryce Heung-Wing Yan

Qiang Sun

Shailesh Govande

Charles Kuo

Carl Meister

Joseph Blau

Bo Zong

Ran Yao

Daeki Cho

A computer-implemented method is disclosed for predicting, based on a previous usage of a cloud-based computing resource by a number of users of the cloud-based computing resource, a future usage of the cloud-based computing resource. The method includes predicting, based on the predicted future usage of the cloud-based computing resource, an anomaly event at the cloud-based computing resource. The method also includes implementing a first anomaly mitigation action, based on the prediction of the anomaly event at the cloud-based computing resource and re-evaluating a status of the anomaly event at the cloud-based computing resource after the implementation of the first anomaly mitigation action. The method further includes implementing a second anomaly mitigation action at the cloud-based computing resource, based on the re-evaluation of the status of the anomaly event.

Data management in a public cloud network

Techniques and structures to facilitate anomaly detection within a networking system, including receiving a plurality of performance metric messages at a database system, extracting a plurality of anomaly detection messages included in the performance metric messages, storing the plurality of anomaly detection messages in an in-memory database and executing a machine learning model to process the plurality of anomaly detection messages in the in-memory database to detect whether anomalous usage of the networking system has been detected.

Machine learning anomaly detection mechanism

Techniques and structures to prevent exhaustion of a database connection pool, including receiving a plurality of events from a plurality of application servers operating as a database connection pool, categorizing each of the plurality of events, including generating a categorization message for each of the plurality events, wherein each categorization message includes one or more fields having contextual information to identify an event type to which an event is associated, analyzing the categorization messages to generate an event record; and generating a report based on the event record including one or more performance measurements to indicate an effectiveness of management of the database connection pool.

Performance measurement mechanism

Methods and systems are described for creating and/or processing a definition for a dashboard with manually input code and user selections in a graphical user interface. In some implementations, user interface elements are displayed and selections from a user accepted. Responsive to the selections, definitions for one or more visualizations and datasources are automatically generated and displayed in a user interface element that accepts manually input customizations and code from the user. The resulting combination of code and definitions is stored as a definition for the dashboard, which when processed will transform data received from the at least one of the datasources, combine the transformed data with data from another of the datasources, and cause the display of a visualization based on the combined data.

Definition of a graphical user interface dashboard created with manually input code and user selections

System and methods are described for a monitoring system to monitor operations of a distributed computing system and provide feedback to subscribers. The monitoring system includes a data collection engine to receive data items comprising events, metrics, or one or more configurations about a distributed computing system being monitored, and to store selected data items into a message queue. The monitoring system also includes a data processing engine to receive the selected data items from the queue, transform the selected data items into transformed data items based at least in part on one or more settings for a subscriber and the one or more configurations of the distributed computing system, and store the transformed data items into one or more of a database and a cache. The monitoring system also includes a feedback engine to read the transformed data items from the one or more of the database and the cache, generate feedback for the subscriber based at least in part on the transformed data items and the one or more settings for the subscriber and the configurations, and send the feedback to the subscriber.

Monitoring distributed systems with auto-remediation

A search system receives business intelligence dimensions and at least one text search term. The system generates and displays key performance indicators based on the business intelligence dimensions, and generates and displays search results based on the text search term. The search results are restricted by facets, and the facets are derived from the business intelligence dimensions.

Search using business intelligence dimensions

A method and apparatus to perform a software migration. According to one embodiment of the invention, end-user specific platform information is collected to be used by a set of one or more migration scripts to perform the software migration. The migration scripts are to be executed on an end-user server and generate log files to be used to restart the software migration if an error occurs during the software migration.

Method and apparatus to perform an application software migration

Methods and apparatuses to cancel database queries from a web application user interface in a networked database application. In one embodiment, the method includes receiving a user request to cancel a query previously sent to a database and calling an application programming interface (API) provided by the database to terminate one or more statements running on the database, the one or more statements being related to the query.

Methods and apparatuses to cancel query

Growing community of inventors

San Francisco, CA, United States of America

Tony Wong