Salesforce, Inc.

Alok K Patel

Paymon Teyer

Karishma Kishore Lalwani

Jackson Zee Herrick

Amol Suresh Hardikar

Arjun Kumar Bachuwar

Suraj Varma

Vivek Viswanathan

Methods, systems, apparatuses, and computer program products are described. A multi-tenant database system may store a set of data logs indicating performance data for multiple tenants of the system. The system may calculate one or more aggregate performance metrics based on performance data for a tenant stored in the logs, where a performance metric of the one or more aggregate performance metrics may be based on design time data for the tenant, runtime data for the tenant, or both. The system may compare the one or more aggregate performance metrics to one or more performance thresholds defined for multiple tenants and may generate scalability scores corresponding to the one or more aggregate performance metrics for the tenant. The system may send, for display at a user interface of a user device operated by a user associated with the tenant, an indication of the generated scalability scores.

Generating scalability scores for tenants using performance metrics

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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Fremont, CA, United States of America

Alok K Patel