TitleA simpler and easy way to handle endorsement policies with Hyperledger Fabric based products





Endorsement policy controls the approval of a proposal to be executed at various granular levels.
In other words, this is the primary entity which is validated before a transaction is committed.
Endorsement policy can operate at two different granularities:

Problem Statement

This becomes complex to handle when operating at scale.

Some usecases

  1. Complex endorsement policy resolving for namespace level ones
  2. Tracking Endorsement policies on large quantity Private data collections each having different endorsement policies
  3. Resolving policy for a given object combining namespace level with overiding individual key-level ones.

Additional Information

  1. Understanding endorsement policies in Hyperledger Fabric v2.x - https://hyperledger-fabric.readthedocs.io/en/release-2.0/endorsement-policies.html
  2. Understanding chaincode - https://hyperledger-fabric.readthedocs.io/en/release-2.0/chaincode4noah.html

Learning Objectives

  1. Understanding of hyperledger fabric concepts
  2. Learn to manage (write/install/execute) hyperledger smart contracts (chaincode)
  3. Good exposure to DLT technologies
  4. Understand De-centralised transaction endorsement concepts
  5. Gain Hands-on experience with opensource software development

Expected Outcome

  1. A library/set of tools implementation thats able to ease endorsement policy handling
  2. Good documentation with diagrams in github
  3. Unit and integration tests for the implementation

Relation to Hyperledger 

  1. Hyperledger Fabric
  2. Hyperledger Cello

Education Level



  1. Interest in distributed systems
  2. Coding skills required to implement chaincode in golang, nodejs or java
  3. Familiarity with bash is a plus
  4. Knowledge on container technologies like Docker is also an advantage

Future plans

Integration with hyperledger fabric, explorer projects

Preferred Hours and Length of Internship

Part-time (20 hours a week for 24 weeks starting in summer and ending in fall)

Mentor(s) Names and Contact Info

Anoop Vijayan, anoop@tuxera.com Karthikeyan Sundaramoorthy, karthik@cloudronics.com

Mentee Name and Contact Info

Abhimanyu Shekhawat, abhimanyushekhawat17.as@gmail.com

Project Results

Github Repository:-


Youtube Video:-

Blog Post:-



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