Method and system for training a machine learning model based on a training dataset formed by data objects distributed across a virtual object storage service. The method comprises fetching from the virtual object storage service, the training dataset; copying the fetched training dataset on a first local storage device and maintaining a list of modifications executed on the training dataset that occurred on the virtual object storage service. The method comprises, upon receiving a request to initiate training of the machine learning model, generating a synchronized training dataset mirroring the training dataset stored in the virtual object storage service; storing the synchronized training dataset in a second local storage device; and fetching training data from the synchronized training dataset stored in the second local storage device as the training of the machine learning model is executed.

A virtual machine that includes a plurality of processes executes on a computer processor. A record-replay file, trace annotations, and an application program interface request are received into the computer processor. The trace annotations and application program interface request are translated into record-replay commands. The record-replay commands capture data from the record-replay file, and the captured data can be accessed via a programmatic interface.

A virtual machine that includes a plurality of processes executes on a computer processor. A record-replay file, trace annotations, and an application program interface request are received into the computer processor. The trace annotations and application program interface request are translated into record-replay commands. The record-replay commands capture data from the record-replay file, and the captured data can be accessed via a programmatic interface.

A query directed to database data stored across a set of files is received. The query includes predicates and each file from the set of files is associated with metadata stored in a metadata store that is separate from a storage platform that stores the set of files. One or more files are removed from the set of files whose metadata does not satisfy a predicate of the plurality of predicates to generate a pruned set of files. One or more predicates are removed that are satisfied by the metadata of the pruned set of files to generate a modified query.

A query directed to database data stored across a set of files is received. The query includes predicates and each file from the set of files is associated with metadata stored in a metadata store that is separate from a storage platform that stores the set of files. One or more files are removed from the set of files whose metadata does not satisfy a predicate of the plurality of predicates to generate a pruned set of files. One or more predicates are removed that are satisfied by the metadata of the pruned set of files to generate a modified query.

Embodiments as disclosed provide a distributed caching solution that improve the performance and functionality of a content management platform for sites that are physically or logically remote from the primary site of the content management platform. In particular, according to embodiments, a remote cache server may be associated with a remote site to store local copies of documents that are managed by the primary content management platform. Periodically, a portion of the remote site's cache may be synchronized with the content management platform's primary site using an extensible architecture to ensure that content at the remote cache server is current.

Embodiments as disclosed provide a distributed caching solution that improve the performance and functionality of a content management platform for sites that are physically or logically remote from the primary site of the content management platform. In particular, according to embodiments, a remote cache server may be associated with a remote site to store local copies of documents that are managed by the primary content management platform. Periodically, a portion of the remote site's cache may be synchronized with the content management platform's primary site using an extensible architecture to ensure that content at the remote cache server is current.

The described method and system enables a client at a branch office to retrieve data from a local hosted cache instead of an application server over a WAN to improve latency and reduce overall WAN traffic. A server at the data center may be adapted to provide either a list of hashes or the requested data based on whether a hosted cache system is enabled. A hosted cache at the client side may provide the data to the client based on the hashes. The hashes may be generated to provide a fingerprint of the data which may be used to index the data in an efficient manner.

A cloud computing system includes a cloud system managing unit, a plurality of sets of devices, where a set of devices includes one or more devices having a common aspect, and a plurality of authentication servers, where an authentication server is associated with one of the plurality of sets of devices based on the common aspect. The cloud computing system functions to establish trust between a corresponding one of the plurality of authentication servers and the one or more devices of one of the plurality of sets of devices, between the corresponding one of the plurality of authentication servers and the cloud system managing unit, and between the cloud system managing unit and the one or more devices. The cloud system managing unit configures the cloud computing system based on the trust between the cloud system managing unit and devices of the plurality of sets of devices.

Methods, systems, and computer program products are provided for consolidating transaction log requests and transaction logs in a database transaction log service. A scalable log service may manage log requests and logs to reduce resource consumption, such as memory and I/O. Log requests may be managed by consolidating (e.g., organizing, merging and/or de-duplicating) the log requests. Transaction log requests may be mapped to read requests for transaction log storage devices in less than a one-to-one ratio. Transaction logs may be managed by using the consolidated log requests to consolidate (e.g., and prefetch) transaction logs from multiple cache and/or storage tiers to a log pool cache. Log requests may be served from the log pool cache.