Abstract: Described herein are techniques for improving performance of a data system by profiling and executing background services based on task type profiles. Techniques described herein can break down background services into tasks and provide the ability to accurately size the tasks based on task types and provide recommendations for gateways for autoscaling and throttling computing resources accordingly.

Abstract: Embodiments may include a consistency measurement component that utilizes memory-efficient sets (e.g., Bloom filters) to generate consistency metrics for read operations performed on different replicated data objects of distributed storage system. Based on the consistency metrics, the consistency measurement component may identify a subset of replicated data objects associated with low levels of consistency. The consistency measurement component may target this subset for consistency improvement by generating instructions to improve the consistency of the subset. In other cases, the consistency measurement component may notify a consistency improvement component about the targeted subset. In response, the consistency improvement component may generate instructions to improve the consistency of the targeted subset.

Abstract: A technique is described for storing data from a database across a plurality of data storage devices, wherein each data storage device is capable of being accessed only by a corresponding computer system in a group of interconnected computer systems. In accordance with the technique, an identifier of the database is received. An identifier of a storage tier instance is also received, wherein the storage tier instance comprises a logical representation of one or more storage locations within each of the data storage devices. Responsive to the receipt of the identifier of the database and the identifier of the storage tier instance, data from the database is stored in two or more of the storage locations logically represented by the storage tier instance, wherein each of the two or more storage locations in which data is stored is within a corresponding one of the data storage devices.

Abstract: Data access is controlled by re-writing a data source, identified in an input query. The re-writing can be, for example, to a view or subquery or another data source, based on a variety of different criteria such as identity, role, group or other criteria.