Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. A first calculation master, upon receiving a request, performs local calculation on a first node, and directs a second calculation master to perform local calculation on a second node. The first calculation master then performs global calculation using intermediate results from the first node and the second node.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. For example, in deploying an update, a deployment manager pushes the update to one or more nodes and instructs each of the one or more nodes to restart in a bootstrap mode. The deployment manager generates a respective configuration package for each of the one or more nodes, and restarts each of the one or more nodes in a production mode.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. A rule specifies an action on the system and a condition for performing the action, the condition including a value, one or more tags corresponding to the value, and a relation between the one or more tags and the value. The system triggers the action based on evaluating the condition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. A first calculation master, upon receiving a request, performs local calculation on a first node, and directs a second calculation master to perform local calculation on a second node. The first calculation master then performs global calculation using intermediate results from the first node and the second node.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. A rule specifies an action on the system and a condition for performing the action, the condition including a value, one or more tags corresponding to the value, and a relation between the one or more tags and the value. The system triggers the action based on evaluating the condition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for instrumentation and control of workloads in a massively parallel processing database. Deployment is in a cluster which mirrors the cluster of the database to be controlled. The system includes data publishing modules, action agents, rules processing modules, deployment managers, rule compilation and management tools. Together these provide a distributed, fault tolerant system for the automated rules-based control of work in a database cluster. For example, in deploying an update, a deployment manager pushes the update to one or more nodes and instructs each of the one or more nodes to restart in a bootstrap mode. The deployment manager generates a respective configuration package for each of the one or more nodes, and restarts each of the one or more nodes in a production mode.

Abstract: Some of the methods provided herein may include periodically revising a mirror of the target computing system, according to a predetermined backup schedule, the mirror being stored on the virtual failover volume resident on an appliance that is operatively associated with the target computing system, by periodically comparing the mirror to a configuration of the target computing system to determine changed data blocks relative to the mirror, storing the changed data blocks as one or more differential files in the virtual failover volume, and incorporating the changed data blocks into the mirror. In some embodiments, the systems and methods may be utilized to resparsify the virtual failover volume.

Abstract: Some of the methods provided herein may include periodically revising a mirror of the target computing system, according to a predetermined backup schedule, the mirror being stored on the virtual failover volume resident on an appliance that is operatively associated with the target computing system, by periodically comparing the mirror to a configuration of the target computing system to determine changed data blocks relative to the mirror, storing the changed data blocks as one or more differential files in the virtual failover volume, and incorporating the changed data blocks into the mirror. In some embodiments, the systems and methods may be utilized to resparsify the virtual failover volume.

Abstract: Systems, methods, and media for synthesizing a view of a file system are provided herein. Methods may include receiving a request to obtain a view of at least a portion of a file system backup for a device, responsive to the request, mounting one or more backup files for the device on a backup node, generating a view of the at least a portion of a file system created from the one or more mounted backup files, the view being accessible via the intermediary node that is communicatively coupled with the backup node.

Abstract: Systems, methods, and media for synthesizing a view of a file system are provided herein. Methods may include receiving a request to obtain a view of at least a portion of a file system backup for a device, responsive to the request, mounting one or more backup files for the device on a backup node, generating a view of the at least a portion of a file system created from the one or more mounted backup files, the view being accessible via the intermediary node that is communicatively coupled with the backup node.

Abstract: Systems, methods, and media for synthesizing a view of a file system are provided herein. Methods may include receiving a request to obtain a view of at least a portion of a file system backup for a device, responsive to the request, mounting one or more backup files for the device on a backup node, generating a view of the at least a portion of a file system created from the one or more mounted backup files, the view being accessible via the intermediary node that is communicatively coupled with the backup node.