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Backend

Backend

Solana backend development refers to building off-chain services that interact with Solana, such as indexing, monitoring, automation, and more.

Use Cases

Data Indexing Retrieve on-chain data via Geyser or RPC and store it in a database.

Automated Tasks - Liquidation bots - Arbitrage bots - Automated market making

API Services Provide aggregated data and business logic for the frontend.

Technology Choices

Node.js Using @solana/web3.js

Rust Using solana-client, optimal performance

Python Using solana-py, suitable for data analysis

Go Using solana-go, suitable for high-concurrency services

Typical Architecture

Solana Blockchain
    |
Geyser Plugin (Real-time Data)
    |
Backend Service (Indexing/Processing)
    |
Database (PostgreSQL/Redis)
    |
API (Serving the Frontend)

Best Practices

  • Use professional RPC services (Helius, QuickNode)
  • Implement retry and error handling
  • Cache frequently queried data
  • Monitoring and logging
  • Geyser: Real-time data stream
  • RPC: Blockchain query interface
  • Indexing: Structured storage of on-chain data