Salesforce Com, Inc.

Salesforce, Inc.

Safesforce.com, Inc.

Mark Wilding

James Bock Wunderlich

Punit B Shah

Josh Kaplan

Michael Dwayne Miller

George Murnock

Thomas Fanghaenel

James E Mace

Piyush Kumar Jain Mahendra Kumar

Techniques for providing application contextual information. One or more sets of database context identifiers corresponding to events that occur within the database are generated by the database. The one or more sets of database context identifiers have at least one application context field. A session identifier corresponding to a session to be monitored is sent from the application to the database. Information to be stored in the database with the session identifier is sent to the database. Database logs and application logs are correlated using at least the session identifier.

Techniques for providing application contextual information

Techniques are disclosed relating to automated operations management. In various embodiments, a computer system accesses operational information that defines commands for an operational scenario and accesses blueprints that describe operational entities in a target computer environment related to the operational scenario. The computer system implements the operational scenario for the target computer environment. The implementing may include executing a hierarchy of controller modules that include an orchestrator controller module at top level of the hierarchy that is executable to carry out the commands by issuing instructions to controller modules at a next level. The controller modules may be executable to manage the operational entities according to the blueprints to complete the operational scenario. In various embodiments, the computer system includes additional features such as an application programming interface (API), a remote routing engine, a workflow engine, a reasoning engine, a security engine, and a testing engine.

Workflows for automated operations management

Techniques are disclosed relating to monitoring behavior of a computing system shared by multiple tenants. In some embodiments, a computer cluster is maintained that hosts containers accessible to a plurality of tenants of the computer cluster. First telemetry data collected about a particular one of the plurality of tenants is received from a container hosted at a first of a plurality of servers of the computer cluster. The first telemetry data identifies the particular tenant's consumption of a resource provided by the container. In response to the computer cluster migrating the container from the first server to a second of the plurality of servers, second telemetry data collected about the particular tenant's consumption of the resource is received from the migrated container hosted at the second server. An analysis is performed of the first and second telemetry data to identify whether the particular tenant's consumption of the resource has changed.

Tenant-level monitoring

Automated operations management for computer systems

Application programming interface for automated operations management

Security engine for automated operations management

Techniques are disclosed relating to lock wait tracing. A computer system may operate a database that includes a lockable object. The computer may maintain a lock wait queue that stores an indication of processes waiting to acquire a lock on the lockable object. The computer system may store trace records for those processes that, upon releasing a respective lock on the lockable object when another process is waiting in the lock wait queue, have been in contention for the respective lock for over a threshold amount of time. The computer system may present ones of the trace records that identify a timeline that is usable to determine a set of processes that contributed to a delay in a process acquiring a lock on the lockable object.

Lock wait tracing

Techniques are disclosed relating to automated operations management. In various embodiments, a computer system accesses operational information that defines commands for an operational scenario and accesses blueprints that describe operational entities in a target computer environment related to the operational scenario. The computer system implements the operational scenario for the target computer environment. The implementing may include executing a hierarchy of controller modules that include an orchestrator controller module at a top level of the hierarchy that is executable to carry out the commands by issuing instructions to controller modules at a next level. The controller modules may be executable to manage the operational entities according to the blueprints to complete the operational scenario. In various embodiments, the computer system includes additional features such as an application programming interface (API), a remote routing engine, a workflow engine, a reasoning engine, a security engine, and a testing engine.

Reasoning engine for automated operations management

One or more client threads are executed. One or more processing threads corresponding to the one or more client threads are executed. The processing threads are configurable to generate statistical information for each database query statement processed by the corresponding client thread. The statistical information is generated from the processing threads. The statistical information is stored in chunks of memory managed via a plurality of queues. The chunks of memory containing the statistics are analyzed. Outlier statements are filtered based on the statistics. Non-outlier statements are stored by a storage device.

Per-statement monitoring in a database environment

Monitoring statements in a database environment. Substantially all database query statements to be executed against a database in the database environment are analyzed to determine if a statement has an outlier statistic. Database queries that do not have an associated outlier statistic are serviced. Further analysis is performed for statements having an outlier statistic to determine if the corresponding statement poses a security risk to the database environment.

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Issaquah, WA, United States of America

Mark Wilding