Salesforce, Inc.

Jackson Zee Herrick

Paymon Teyer

Karishma Kishore Lalwani

Alok K Patel

Arjun Kumar Bachuwar

Amol Suresh Hardikar

Suraj Varma

Vivek Viswanathan

A method and apparatus for collecting and supporting querying of multi-dimensional data pertaining to usage of software and/or hardware to service tenant requests in a multi-tenant cloud computing system where the multi-dimensional data is initially captured on a per request basis and recorded in objects of a first type that store data pertaining to a specific request, specific tenant, specific host and specific time. The objects of the first type are combined by time windows to form objects of a second type. The objects of a second type are stored in another system as separate text files. Responsive to a query for multi-dimensional data for a specific tenant that spans an interval of multiple time windows, the objects of the second type for the specific tenant and time interval are combined across all hosts to generate a query result, and the query result is returned.

Collecting and supporting querying of high-cardinality time-series data

Methods, systems, apparatuses, and computer program products are described. A system, such as a multi-tenant database system, may store tenant-specific observability data for multiple tenants of the system. The system may detect an inefficiency related to a performance metric for a tenant of the multiple tenants based on a subset of the data associated with the tenant and corresponding to a threshold time window. In some examples, the system may analyze the subset of the data for the threshold time window to determine an insight indicating a cause of the inefficiency. The system may determine a suggested action for the tenant based on the insight indicating the cause of the inefficiency, and the system may send, for display at a user interface of a user device, an indication of the insight and the suggested action, the user device operated by a user associated with the tenant.

Determining insights related to performance bottlenecks in a multi-tenant database system preliminary class

Methods, systems, apparatuses, and computer program products are described. A database system may store data logs tracking performance data for multiple tenants of the database system. The database system may receive, via a user interface of a user device, a user input indicating a request to perform an analysis of performance data associated with one of the multiple tenants. The request may indicate a time period and a performance metric for the analysis. The database system may execute a query based on the analysis. The query may execute on a subset of the data logs associated with the tenant and the performance metric. The system may analyze a result of the query to determine one or more entities that affected the performance metric during the time period. The system may transmit an indication of the one or more entities for display at the user interface.

Pattern detection for tenant-specific performance data

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San Francisco, CA, United States of America

Jackson Zee Herrick