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Week 1

  •  Exploration. Setup Hyperledger Fabric network, connect Hyperledger Explorer to Fabric. Use Filebeat to send data to Kibana.

Week 2

  •  Exploration. Extend Fabric network (Fabric-ca, binary data and json chaincode). Dump ledger data from HL Explorer and visualize it in Kibana.

Week 3

  •  Write Beats agent with configuration that sends data to Elasticsearch.

Week 4

  •  Create operational dashboards similar to HL Explorer. Create data query dashboards.

Week 5

  •  Create example HL Fabric network setups for different topics and use-cases (supply chain, medicine provenance, etc.) Write a simulator that generates transactions for these network types.

Week 6

  •  Add data dashboards for different examples.

Week 7

  •  Test Fabric Token and add dashboard for Fabric token.

Week 8

  •  Refine the examples and prepare for submission as Hyperledger Lab. Evaluate how to read data directly from ledger file instead of using peer APIs.

Week 9

  •  Investigate replacing ledger file with Elasticsearch in the backend.

Week 10

  •  Submit the project as Hyperledger Lab. Store and analyze peer / CA logs within Elastic stack.

Week 11

  •  Create Fabric network that uses private data.

Week 12

  •  Create dashboards for private data.

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