Architecting a Solana Data Pipeline: Economics & System Design
If you have ever tried to track every single swap across Raydium, Orca, and Jupiter in real-time, you already know the painful truth: Solana is simply too fast for traditional Web2 architecture.
Standard REST API polling will get you rate-limited instantly. If you try to blindly open a WebSocket and dump the raw payload into a standard database, your server will run out of memory, drop packets, and corrupt your dataset. Drinking from the Solana firehose requires a paradigm shift in how we handle data ingestion.
This is Part 1 of a 3-part series where we will design a resilient, zero-data-loss swap indexer. We will architect the system, write a high-throughput ingestion service in Rust, and scale the analytics using ClickHouse.
Before we write a single line of code, we have to solve the hardest problem in Web3 infrastructure: Cloud Economics.
