Hi everyone. I'm the main dev of the pando protocol which is a distributed VCS - whose dev is actually funded by Aragon - and we are working on database integration right now. I would have a few technical questions here. Mostly about the ability to store data on IPFS and optionnaly have them indexed through Fluence 🙂
I'm not sure to understand how fluency works, actually. But I've seen your presentation at Dappcon and was really excited about that :)
do you need to encrypt the index? how are you going to update it? who should be able to query? what are expected read and write patterns?
do you have whitepaper?
Right now we are focusing on allowing people to deploy and use standalone repositories
All datas - such as the history tree of snapshots - are stored on IPFS through linked data
You can find more informations about that right here : https://medium.com/ryhope-network/pando-b5e1a2af3152
At one point we also intend to build a network of such repositories. Let's imagine that the pando protocol is git and we wanna build the GitHub for pando.
So we would like to optionally allow for a fluency database to index these IPLD data to make them searchable and all
So we don't need the index to be encrypted - for now, as it mostly aims at open source projects. The update would be made by allowed developer and the last commit would be stored on chain.
Exactly
Would there be any constraints or requirements about the IPLD data structure ?
(if there is so, would like to conform our data structures ASAP to avoid refactoring all the code once we integrate with Fluence :)