Abstract: Various embodiments of the present technology generally relate to systems and methods for providing cross-grid replication within distributed storage systems. In an example, a method includes identifying an object for ingest into a first storage grid containing a first distributed storage system and replicating the object to one or more nodes within the first storage grid. The method may also include determining a cross-grid replication status of the object to a second storage grid containing a second distributed storage system and performing a cross-grid replication of the object to the second storage grid based on the cross-grid replication status of the object.

Abstract: A storage application is disclosed herein that employs a method for managing read and write requests associated with a database distributed across multiple replicas in multiple data centers. The storage application may be implemented on one or more computing devices in the context of a data center, cloud environment, or the like. The method includes the storage application receiving a client request to perform an operation with respect to an object at an any-local-quorum consistency level. In response to client request, the storage application iteratively generates and submits coordinator requests to the multiple data centers at a local-quorum consistency level, until one of the multiple data centers successfully replies to one of the coordinator requests with a result. The storage application then replies to the client request based on the result provided by the one of the multiple data centers.

Abstract: Various embodiments of the present technology generally relate to systems and methods for providing cross-grid replication within distributed storage systems. In an example, a method includes identifying an object for ingest into a first storage grid containing a first distributed storage system and replicating the object to one or more nodes within the first storage grid. The method may also include determining a cross-grid replication status of the object to a second storage grid containing a second distributed storage system and performing a cross-grid replication of the object to the second storage grid based on the cross-grid replication status of the object.

Abstract: A storage application is disclosed herein that employs a method for managing read and write requests associated with a database distributed across multiple replicas in multiple data centers. The storage application may be implemented on one or more computing devices in the context of a data center, cloud environment, or the like. The method includes the storage application receiving a client request to perform an operation with respect to an object at an any-local-quorum consistency level. In response to client request, the storage application iteratively generates and submits coordinator requests to the multiple data centers at a local-quorum consistency level, until one of the multiple data centers successfully replies to one of the coordinator requests with a result. The storage application then replies to the client request based on the result provided by the one of the multiple data centers.

Abstract: A storage application is disclosed herein that employs a method for managing read and write requests associated with a database distributed across multiple replicas in multiple data centers. The storage application may be implemented on one or more computing devices in the context of a data center, cloud environment, or the like. The method includes the storage application receiving a client request to perform an operation with respect to an object at an any-local-quorum consistency level. In response to client request, the storage application iteratively generates and submits coordinator requests to the multiple data centers at a local-quorum consistency level, until one of the multiple data centers successfully replies to one of the coordinator requests with a result. The storage application then replies to the client request based on the result provided by the one of the multiple data centers.

Abstract: A distributed storage system may synchronously apply an Information Lifecycle Management (ILM) policy to objects at ingest. In one embodiment of synchronous ILM, three options are available for a user: balanced, strict, and dual commit. Dual commit refers to the behavior where one will always create two replicated copies in the same site and then apply ILM asynchronously. Strict refers to the behavior where the storage system attempts to apply the ILM policy synchronously on ingest, and if the storage system cannot the ingest of the object will fail. This ensures that the storage system can guarantee that ILM has been applied to recently ingested objects. Balanced refers to the behavior where the storage system attempts to apply ILM synchronously, but if the storage system cannot the storage system may fall-back to dual-commit.

Abstract: A distributed storage system may synchronously apply an Information Lifecycle Management (ILM) policy to objects at ingest. In one embodiment of synchronous ILM, three options are available for a user: balanced, strict, and dual commit. Dual commit refers to the behavior where one will always create two replicated copies in the same site and then apply ILM asynchronously. Strict refers to the behavior where the storage system attempts to apply the ILM policy synchronously on ingest, and if the storage system cannot the ingest of the object will fail. This ensures that the storage system can guarantee that ILM has been applied to recently ingested objects. Balanced refers to the behavior where the storage system attempts to apply ILM synchronously, but if the storage system cannot the storage system may fall-back to dual-commit.

Abstract: A distributed storage system may synchronously apply an Information Lifecycle Management (ILM) policy to objects at ingest. In one embodiment of synchronous ILM, three options are available for a user: balanced, strict, and dual commit. Dual commit refers to the behavior where one will always create two replicated copies in the same site and then apply ILM asynchronously. Strict refers to the behavior where the storage system attempts to apply the ILM policy synchronously on ingest, and if the storage system cannot the ingest of the object will fail. This ensures that the storage system can guarantee that ILM has been applied to recently ingested objects. Balanced refers to the behavior where the storage system attempts to apply ILM synchronously, but if the storage system cannot the storage system may fall-back to dual-commit.

Abstract: Apparatuses and methods for decoupling an element that is bonded to a surface by an adhesive are provided. In one example, the apparatus includes a body, a first spool that is rotationally coupled to the body, and a cable having a first cable end portion that is coupled to the first spool, a second cable end portion that is coupled to the body, and a cable intermediate portion that is disposed between the first cable end portion and the second cable end portion. The apparatus is configured to be positioned adjacent to at least one of the element and the surface with the cable intermediate portion disposed adjacent to the adhesive such that when the first spool is rotated, the cable wraps about the first spool, thereby pulling the cable intermediate portion through the adhesive.

Abstract: Apparatuses and methods for decoupling an element that is bonded to a surface by an adhesive are provided. In one example, the apparatus includes a body, a first spool that is rotationally coupled to the body, and a cable having a first cable end portion that is coupled to the first spool, a second cable end portion that is coupled to the body, and a cable intermediate portion that is disposed between the first cable end portion and the second cable end portion. The apparatus is configured to be positioned adjacent to at least one of the element and the surface with the cable intermediate portion disposed adjacent to the adhesive such that when the first spool is rotated, the cable wraps about the first spool, thereby pulling the cable intermediate portion through the adhesive.

Abstract: A distributed storage system may synchronously apply an Information Lifecycle Management (ILM) policy to objects at ingest. In one embodiment of synchronous ILM, three options are available for a user: balanced, strict, and dual commit. Dual commit refers to the behavior where one will always create two replicated copies in the same site and then apply ILM asynchronously. Strict refers to the behavior where the storage system attempts to apply the ILM policy synchronously on ingest, and if the storage system cannot the ingest of the object will fail. This ensures that the storage system can guarantee that ILM has been applied to recently ingested objects. Balanced refers to the behavior where the storage system attempts to apply ILM synchronously, but if the storage system cannot the storage system may fall-back to dual-commit.

Abstract: Technology is disclosed for enabling storage service compatibility. The technology can enable sorting of data stored across partitions, and provide for key splitting, e.g., to respond to data updates and additions.

Abstract: Technology is disclosed for enabling storage service compatibility. The technology can enable sorting of data stored across partitions, and provide for key splitting, e.g., to respond to data updates and additions.