Abstract: The system uses the non-repudiatory persistence of blockchain technology to store all task statuses and results across the distributed computer network in an immutable blockchain database. Coupled with the resiliency of the stored data, the system may determine a sequence of processing tasks for a given processing request and use the sequence to detect and/or predict failures. Accordingly, in the event of a detected system failure, the system may recover the results prior to the failure, minimizing disruptions to processing the request and improving hardware resiliency.

Abstract: The system uses the non-repudiatory persistence of blockchain technology to store all task statuses and results across the distributed computer network in an immutable blockchain database. Coupled with the resiliency of the stored data, the system may determine a sequence of processing tasks for a given processing request and use the sequence to detect and/or predict failures. Accordingly, in the event of a detected system failure, the system may recover the results prior to the failure, minimizing disruptions to processing the request and improving hardware resiliency.

Abstract: The system uses the non-repudiatory persistence of blockchain technology to store all task statuses and results across the distributed computer network in an immutable blockchain database. Coupled with the resiliency of the stored data, the system may determine a sequence of processing tasks for a given processing request and use the sequence to detect and/or predict failures. Accordingly, in the event of a detected system failure, the system may recover the results prior to the failure, minimizing disruptions to processing the request and improving hardware resiliency.

Abstract: The system uses the non-repudiatory persistence of blockchain technology to store all task statuses and results across the distributed computer network in an immutable blockchain database. Coupled with the resiliency of the stored data, the system may determine a sequence of processing tasks for a given processing request and use the sequence to detect and/or predict failures. Accordingly, in the event of a detected system failure, the system may recover the results prior to the failure, minimizing disruptions to processing the request and improving hardware resiliency.

Abstract: Methods and systems are described for improving hardware resiliency during serial processing tasks in distributed computer networks. In particular, the system uses may use the non-repudiatory persistence of blockchain technology to store all task statuses and results across the distributed computer network in an immutable blockchain database. Coupled with the resiliency of the stored data, the system may determine a sequence of processing tasks for a given processing request and use the sequence to detect and/or predict failures. Accordingly, in the event of a detected system failure, the system may recover the results prior to the failure, minimizing disruptions to processing the request and improving hardware resiliency.

Abstract: As steps of transactions are performed, a tracking system tracks the transactions by writing blocks of reports representing the performed steps of the transactions into a master blockchain. The master blockchain serves as an immutable record of performed steps for all transactions. The tracking system further generates individual lineage blockchains that include blocks of reports that are specific for a particular transaction, and the order of their creation. Therefore, each lineage blockchain serves as immutable record of performed steps for a specific transaction. The tracking system can monitor the states of the transactions as they are performed by accessing individual lineage blockchains. Therefore, when a transaction exception (e.g., a transaction error) occurs for a transaction, the tracking system can identify the transaction that is affected and can initiate a recovery process to ensure that the transaction exception is rectified.