Data protection methods and systems for a storage environment are provided. A first-in-first out (FIFO) structure stores a logical representation of a first storage location that retains previous data for a data container, after new data for the data container is stored at a second storage location. The FIFO structure also stores a logical representation of a file system tree structure that is stored in persistent storage, after a consistent point operation. In response to an event, the file system tree structure is selected, based on the file system tree structure being closest to a transaction. A snapshot is generated using the file system tree structure. Thereafter, the data container is restored from the snapshot or from a copy of the snapshot.

A method of incrementally replicating investigative analysis data is disclosed along with a system for performing the same. The method and system provide the ability to break a data replication job into multiple “replication chunks” which can be exported and imported separately. By doing so, the method and system can efficiently replicate large numbers of data object changes over an unreliable data network.

A plurality of completion times associated with an application request may be obtained. The plurality of completion times may include a first completion time and a second completion time. A plurality of response times associated with a first asynchronous operation triggered by the application request may be obtained. The plurality of completion times may include a first response time associated with the first completion time and a second response time associated with the second completion time. A first correlation score may be determined describing an effect of the first asynchronous operation on the application request based on the first completion time, the second completion time, the first response time, and the second response time. Visualization data may be generated representing the first correlation score.

Techniques are provided for tracking a number of transactions-of-interest in a transaction-recording blockchain using a control blockchain. A transaction-of-interest is a transactions that is in a particular state. A request to perform an action is received. Upon receiving the request and determining that the action corresponds to a new transaction-of-interest, a control blockchain is checked to determine the current number of transactions-of-interest in the transaction-recording blockchain and maximum allowed number of transaction-of-interest for the transaction-recording blockchain. In response to determining that the current number of transaction-of-interest in the transaction-recording blockchain are less than the maximum allowed: allowing the action to occur, adding a new block to the transaction-recording blockchain, and updating the control blockchain to indicate the new number of transaction-of-interest. In response to determining that the current number of transaction-of-interest are at least at the maximum allowed number, prohibiting the addition of a new block to the transaction-recording blockchain.

In one example, initiating data replication process to copy source data set as target data sets to a plurality of target devices during a predefined time period, determining progress information regarding completion of the replication process based on historical and current performance information of the plurality of target devices, and if the progress information indicates that the replication process is not to be completed within a predefined time period, then selecting a target device from the plurality of target devices to complete the complete the replication process based on historical and current performance information of the plurality of target devices, and causing the selected target device to continue with the completion of the replication process, causing the non-selected target devices to discontinue with the replication process, and causing the replicated target data set to be copied to another target device of the plurality of target devices.

Methods and systems for collision handling during an asynchronous replication are provided. A system includes a cache memory system comprising a number of cache memory pages. A collision detector detects when a host is attempting to overwrite a cache memory page that has not been completely replicated. A revision page tagger copies the cache memory page to a free page and tags the copied page as protected.

A distributed database compaction system can perform compaction for transactional queries in an asynchronous matter without affecting completion of the queries. The compaction system can implement asynchronous transformation of key pairs in the database, and older keys can be periodically purged using a scheduled compactor. Subsequent queries use the compacted stored keys to perform efficient queries with direct reads of committed transactions and more efficient access to key values stores of the distributed database.

Implementations described herein relate to methods, systems, and computer-readable media to selectively synchronize database objects. In some implementations, a method includes receiving a request to synchronize records that include a corresponding root record and one or more connected records from a first database instance to a second database instance, wherein the request includes a specified graph configuration and an object boundary identifier; collecting the one or more records by traversing a corresponding graph configuration associated with each of the one or more root records; generating a snapshot that includes the one or more records into one or more object record sets based on a corresponding object boundary identifier associated with each of the one or more root records and the one or more connected records; publishing the snapshot to the second database instance; and updating the second database instance.

Techniques for monitoring local and/or remote file systems by a synchronization component (e.g., client/server) of a cloud-based platform are disclosed. In some embodiments, a method of building synchronization events by a synchronization component (e.g., a synchronization server/client) includes obtaining a set of items that have been changed and their new states and retrieving last known states of the set of items that are stored in a reference snapshot inside a filesystem scanner. The method further includes generating differences between the new states and the last known states of the set of items as item changes and utilizing information provided by the item changes to translate the item changes into synchronization events for execution on the opposing file system. A method of handling failed synchronization events by a synchronization component of the cloud-based platform by collapsing a subsequent event with the failed synchronization event is also disclosed.

Techniques for database replication for a remote deployment include a method performed by a data platform executing instructions on at least one hardware processor. The method includes detecting receipt of a database replication request associated with a data consumer. The database replication request is requesting availability of an instance of a primary deployment database at a remote deployment of a data platform. In response to detecting the receipt of the database replication request, an account of a data provider at the remote deployment of the data platform is provisioned with a set of replication-preparation objects associated with the primary deployment database. A database refresh operation is invoked, causing database data be pushed from the primary deployment database to a database shell in the account of the data provider at the remote deployment, to create the instance of the primary deployment database.