Splunk Inc.

Cisco Technology, Inc.

Stephen Robert Luedtke

Nathaniel Gerard McKervey

Ryan Russell Moore

Jeffrey Yung Wu

Siegfried Puchbauer

Antoine Toulme

Systems and methods are described to correlate different types of data obtained from a distributed ledger system. The distributed ledger system can generate transaction notifications, log data, and/or metrics data. At least some of the data generated by the distributed ledger system can be obtained by a data intake and query system via a distributed ledger system monitor. The data from the distributed ledger system can be stored in the data intake and query system and correlated. Based on the correlation, the data intake and query system can determine a history of a transaction in the distributed ledger system, relationships between components of the distributed ledger system, and/or an architecture of the distributed ledger system.

Correlating different types of data of a distributed ledger system

A blockchain consortium network can be implemented in which nodes of one or more blockchains generate data for pipeline-based processing by a consortium pipeline system. The generated data can include private blockchain data, public blockchain data, and machine data, such as logs or operational metrics from the nodes. The data is collected from different network levels and can be transformed via pipeline processes of the consortium pipeline system to securely share data in the blockchain consortium network.

Securely sharing public and private blockchain data

Systems and methods are described to associate data from different nodes of a distributed ledger system. The nodes can generate transaction notifications, log data, and/or metrics data. At least some of the data generated by the nodes can be obtained by a data intake and query system via a distributed ledger system monitor. The data from the distributed ledger system can be stored in the data intake and query system and correlated. Based on an association between at least some of the data of the first node and at least some of the data of the second node, the data intake and query system can determine at least a partial history of a transaction in the distributed ledger system, relationships between components of the distributed ledger system, and/or an architecture of the distributed ledger system.

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Denver, CO, United States of America

Stephen Robert Luedtke