Salesforce Com, Inc.

Salesforce, Inc.

Raksha Subramanyam

Olumayokun Obembe

Tony Wong

Da Zhao

Shailesh Dinkar Govande

Ashwini Bijwe

Paul Sydell

Ilya Zaslavsky

Jason Woods

Kevin Wang

Amey Ruikar

Aishwarya Kumar

Vijay Devadhar

Wayne Rantala

Ping Yun

Charles Weichih Kuo

Shruti Ashutosh Sharma

Rilson Nascimento

Techniques and structures to facilitate automatic adjustment of a database connection pool, including calculating a first value indicating a number of connections of to be provided by a first of a plurality of application servers, determining whether the first value is equal to a second value previously calculated to indicate the number of connections to be provided by the first application server and adjusting the database connection pool by providing the number of connections to access the database as indicated by the first value upon a determination that the first value is not equal to the second value.

Adjustable connection pool 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

Migration results in specific action requests to move data from a source system instance to a target system instance. Migration may consume many resources. In an effort to monitor migration effects on source and/or target performance, one or more traffic lights are determined to monitor utilization of resources of the source and/or target. Based on the one or more traffic lights, migration is dynamically throttled. The one or more traffic light may be assigned a status based on how the migration affects performance of another data operation which may be contemporaneously operating on either the source and/or the target.

Dynamically controlling data migration

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

Techniques and structures to facilitate determining a threshold metric value, including receiving a plurality of performance metrics data from a metrics store, determining a threshold metric value that enables a plurality of machines to attain a target availability percentage performance service-level agreement (SLA) based on the plurality of performance metrics data and reporting the threshold metric value.

Target availability threshold calculation mechanism

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Fremont, CA, United States of America

Raksha Subramanyam