Case Study: Krypton – Real-Time Blockchain

Project Goals

The primary objective was to create a robust system capable of:

• Delivering real-time insight into Ethereum-based transactions and other blockchain happenings.
• To provide an opportunity to conduct a detailed historical analysis of the cited blockchain parameters and improve decision-making processes.
• Creating an easy-to-navigate application that interfaces well with other blockchain utilities.
• It also focused on the scalability aspect of the project due to ever-increasing data in the blockchain field.

Challenges Encountered

Developing Krypton required overcoming several technical and operational challenges:

• Blockchain Node Setup and Synchronization
• Creating a consistency factor was an essential step in Ethereum, keeping the multiple nodes in the blockchain within the network synchronized for data integrity and accessibility.
• This entailed configuring the consensus and execution clients and avoiding delays in accessing data. Their coordination is shown below. The consensus and execution clients have to be configured so that there isn’t necessarily a large delay when accessing data.
• Real-Time Data Management
• There was a requirement to monitor the huge inflow of blockchain transactions in real time.
• One of the most notable challenges is manipulating reorganized blocks and maintaining data integrity during block changes.
• Mediated use of data: organization and retrieval
• Superimposing the blockchain to enable real-time fast queries was critical for analysis.
• The team used Astra DB for high performance, flexible storage, and retrieval as data size increased.
• Technical Resilience and Robotics
• It was necessary to ensure that the infrastructure for such a scheme allowed for constant data processing with minute interruptions and as little intervention as possible.
• Simplification became key when setting up and the synchronization steps involved.

Solutions Implemented

To address these challenges, Coding Crafts developed a suite of solutions that transformed Krypton into a scalable and efficient platform:

• Fine-tuning Block Chain Nodes
• The team used Geth and Prysm clients to guarantee that the Ethereum blockchain operated in a coordinated way.
• This configuration also enabled the extraction of extra data from the blockchain for further analysis.
• Advanced Queue Management
• The active queues system was then developed to support the constant flow of data expected from the blockchain.
• It ensured that there were few or no stopovers in the processing of transactions within this system.
• Behavioral analytics of Block Chain events
• Sophisticated mathematical models analyzed blockchain activities, including smart contract actions and block reshelving.
• This gave some information about blockchain events and also improved the system.
• Automation with Terraform
• The team was able to automate the creation of this infrastructure and data replication through the assistance of Terraform.
• This reduced manual overhead and also simplified the incorporation of additional new data sources.

Technologies Used

The Krypton platform was built using a modern and efficient tech stack, including:

• Programming Languages: JavaScript/TypeScript for robust development.
• Frontend: Next.js and MUI for a responsive and user-friendly interface.
• Backend: Node.js for scalable backend services, TypeORM for database interactions, and Redis with BullMq for queuing mechanisms.
• Blockchain Integration: Geth and Prysm clients for Ethereum, with support from Erigon nodes for additional blockchain analytics.
• Database and Indexing: Astra DB to manage and retrieve indexed blockchain data efficiently.
• Monitoring and AI Integration: Bugsnag for error monitoring and OpenAI for advanced analytics.
• Infrastructure Tools: Terraform for rapid and automated infrastructure management.

Outcomes and Impact

The final product exceeded expectations, delivering a state-of-the-art blockchain platform with the following features:

• Real-Time Insights
• Krypton allows the user to view fresh data from the Ethereum blockchain, such as the transaction history and the specifics of smart contract events.
• Scalable Infrastructure
• The backend of Cosmic JS, built on Node.js and Astra DB, guarantees reliability when scaling up the dataset.
• Broad Blockchain Inspection
• Sophisticated mathematical computations enable users to analyze variabilities in blockchain behaviors to improve transparency and decision-making.
• User-Friendly Experience
• Being an embedded blockchain application, Krypton makes working with large sets of blockchain data easier through a minimalist interface built with Next.js and MUI.
• Automation and Resilience
• Terraform stabilizes infrastructure through automation, and there are real-time update installations due to the queue system.

Conclusion

Krypton is a good example of the Coding Crafts’ competence in creating blockchain services. It shows how issues like data sync, online data processing, and maintaining the system’s extensibility can be solved with purposeful thinking and the right tools at hand.

The platform has become an invaluable tool for users in the crypto and NFT spaces, allowing them to work comfortably within the blockchain context.