In Part 1: Economics & System Design, we established the blueprint. We proved that by optimizing Helius RPC subscriptions and decoupling our ingestion layer from our database using NATS, we can track all Solana swap volume without burning our runway on infrastructure costs.
Now, we have to actually build the ingestion engine.
When you are dealing with thousands of transactions per second across Raydium, Orca, and Jupiter, traditional REST polling is obsolete. We need a persistent, real-time WebSocket connection. But keeping a socket alive at this scale, decoding the payload without causing CPU spikes, and forwarding it to our broker requires strict memory management.
Here is how we architect the Rust ingestion service to survive the firehose on a highly cost-effective 4-CPU pod.
01. Connection Resilience & The Reconnection Loop
