Abstract: Systems, devices, and techniques are disclosed for multi-threaded dynamic queries on an unpartitioned database. An instruction to perform a database operation on rows of a database may be received. Processing threads may be generated by generating three random numbers. A starting point of a processing thread may be set to a first random number, an offset may be set to a second random number, and an order may be based on a third random number. The processing threads may each generate a dynamic query. A dynamic query generated by a processing thread may include an instruction to perform the database operation on rows of the database based on the offset, starting point, and order for the processing thread. Each dynamic query may be run against the database to perform the database operation.

Abstract: Systems, devices, and techniques are disclosed for multi-threaded dynamic queries on an unpartitioned database. An instruction to perform a database operation on rows of a database may be received. Processing threads may be generated by generating three random numbers. A starting point of a processing thread may be set to a first random number, an offset may be set to a second random number, and an order may be based on a third random number. The processing threads may each generate a dynamic query. A dynamic query generated by a processing thread may include an instruction to perform the database operation on rows of the database based on the offset, starting point, and order for the processing thread. Each dynamic query may be run against the database to perform the database operation.

Abstract: Examples include a ticketing system for managing performance of computer services. The ticketing system includes a ticket database to store a plurality of tickets, each ticket defining a job to be performed on a computing system, and a master to create a ticket, store the ticket in the ticket database, and update the ticket. The ticketing system includes a scheduler to determine whether to create the ticket based at least in part on a set of conditions, and to request the master to create the ticket when the ticket is to be created, and a worker to get the ticket from the master, perform the job defined by the ticket, and request the master to update the ticket with a status of the ticket. The ticketing system includes a supervisor to request the master to find a stale ticket, and, if found, to request the worker to abort performance of the job defined by the stale ticket.

Abstract: Examples include a computer-implemented method for determining one or more observations about a computing system, determining a plurality of sets of one or more actions based at least in part on a plurality of policies and the one or more observations; reducing the plurality of sets of one or more actions to generate a reduced set of actions, the reduced set of actions including scheduling a computing system to execute the reduced set of actions by requesting one or more idempotent tickets to be created in a ticketing system; and performing, or causing to be performed, the reduced set of actions.

Abstract: System and methods are described for restoring a database by receiving a request to restore a database in a cloud computing environment, generating a restore plan for the database based at least in part on previously stored database restore outcomes and error probabilities of full backups, incremental backups, and redo logs, restoring the database from an archive according to the restore plan, and storing an outcome of the database restore.

Abstract: In a cloud computing environment, a storage space management system provides for uniform collection of usage statistics for storage disks and storage consumers, including usage statistics for a consumers' storage buckets, where a storage bucket represents a logical container of files, objects or other types of stored data for a given consumer. The system enables automated evaluation of space usage policy against the collected statistics. The system enforces the evaluated policy determinations, including queueing jobs that manage storage disk eligibility for storing data and jobs that direct traffic from storage consumers to storage disks that have sufficient storage available.

Abstract: System and methods are described for synchronization of delete operations between primary a secondary databases. The method includes identifying a chunk of records in a secondary database. The method also includes sending a message to a primary database that identifies the chunk of records and asks whether any records of the chunk records are delete-able. The method also includes receiving a response to the message from the primary database. The response indicates which records of the chunk records are delete-able. The method also includes deleting each record of the chunk of records from the secondary database that the message indicated was delete-able.

Abstract: In a cloud computing environment, a cluster backup management system of a database storage system directly determines which nodes in the cluster are suitable for use in backup operations without relying on a static configuration. The system automates sampling of the status of each node in a storage cluster and evaluating the health of a node to determine whether it is eligible to support a backup operation. A backup job scheduling and execution process uses the sampled status and health evaluations to automatically determine which nodes are eligible to use for backup operations.

Abstract: In a cloud computing environment, a storage space management system provides for uniform collection of usage statistics for storage disks and storage consumers, including usage statistics for a consumers' storage buckets, where a storage bucket represents a logical container of files, objects or other types of stored data for a given consumer. The system enables automated evaluation of space usage policy against the collected statistics. The system enforces the evaluated policy determinations, including queueing jobs that manage storage disk eligibility for storing data and jobs that direct traffic from storage consumers to storage disks that have sufficient storage available.

Abstract: Examples include a computer-implemented method for determining one or more observations about a computing system, determining a plurality of sets of one or more actions based at least in part on a plurality of policies and the one or more observations; reducing the plurality of sets of one or more actions to generate a reduced set of actions, the reduced set of actions including scheduling a computing system to execute the reduced set of actions by requesting one or more idempotent tickets to be created in a ticketing system; and performing, or causing to be performed, the reduced set of actions.

Abstract: Examples include a ticketing system for managing performance of computer services. The ticketing system includes a ticket database to store a plurality of tickets, each ticket defining a job to be performed on a computing system, and a master to create a ticket, store the ticket in the ticket database, and update the ticket. The ticketing system includes a scheduler to determine whether to create the ticket based at least in part on a set of conditions, and to request the master to create the ticket when the ticket is to be created, and a worker to get the ticket from the master, perform the job defined by the ticket, and request the master to update the ticket with a status of the ticket. The ticketing system includes a supervisor to request the master to find a stale ticket, and, if found, to request the worker to abort performance of the job defined by the stale ticket.