Kakao Reveals Klaytn-Based NFT and Blockchain Technology Sessions at if(kakao)2021
Key point
Kakao unveiled eight blockchain technology sessions at the if(kakao)2021 conference, featuring Ground X developers discussing Klaytn-based NFT issuance, horizontal API scaling, and Klip wallet development.
Details
Kakao revealed a series of blockchain-related technical presentation sessions at the if(kakao)2021 conference, featuring participation from Ground X developers. These sessions focused on sharing real-world development cases and infrastructure improvement experiences utilizing the Klaytn blockchain.
NFT and Smart Contract Utilization
One of the presentations covers the issuance, transfer, and trading processes of NFTs on Klaytn, introducing a scenario where Royalty rights in the art market are implemented via smart contracts for immediate settlement upon transaction. It also explains cases and requirements for easily implementing transactions of works worth hundreds of millions of won through blockchain contracts via the Klip Drops service.
Infrastructure and API Scalability
The sessions propose methods to secure horizontal scalability for APIs through improvements to Klaytn nodes. The architecture for consistently providing APIs using multiple nodes and the process of resolving issues encountered during development are shared. Additionally, the sessions cover problems experienced and improvement experiences when extracting blockchain data, as well as the concept of hard forks on Klaytn and plans for future incompatible changes.
Klip Wallet and Development Tools
Methods for developing blockchain applications (Bapps) using the digital asset wallet service Klip and techniques for verifying transaction results via Receipt are introduced. Development know-how for the Klip wallet, designed from the ground up, and experiences in developing web-based wallets using Go, React, and other technologies are shared, providing a practical guide for web service developers interested in blockchain.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.