High-throughput backend engineering
Throughput is a systems problem, not a framework choice. What decides whether a real-time system survives production is its behaviour at 10x load, on a slow consumer, and during a partial outage, so those are the conditions we design for first rather than optimise for later.
Why this work is different
Systems that are fast on a good day are ordinary. The engineering is in what happens on a bad one. Whether the system bends, and whether you can see why while it is bending.
By the time load is a visible problem, the architectural decision that caused it is usually a year old. Performance work bolted on after something falls over is the expensive version of this work.
How we work
Backpressure, graceful degradation, and observability are designed in rather than added. The same standard we hold for protocol code applies here. Measured, instrumented, and built to fail safely.
The discipline carries directly across the onchain and off-chain sides of a system, because MEV, indexing, and trading infrastructure all depend on the same properties.
What that means we build
Real-time systems. Streaming ingestion, time-series storage and query, and the low-latency services that sit between a fast data source and the consumers that cannot wait for it.
The reliability engineering around them, so the system degrades predictably under load and is legible while it does.
Common questions
- What kinds of backends do you build?
- Streaming and ingestion pipelines, time-series storage and query, and low-latency real-time services, the systems that sit between fast data sources and the consumers that depend on them.
- How is this different from typical backend work?
- The bar is throughput and reliability under real load. We design for backpressure, degradation, and the 10x-load failure modes from the start, rather than optimising after something falls over.
- Does this connect to your onchain work?
- Directly. MEV, indexing, and trading systems all need high-throughput, low-latency backends, so the same engineering discipline carries across the on-chain and off-chain sides of a system.
Have something hard to build?
Tell us the hard part: the protocol, the client, the mechanism, or the system that has to hold.