Fintech Rebuilding Ophir's trading platform for the speed and reliability their traders demanded
Ophir is a trading platform serving both retail and professional traders who need fast, reliable market execution. Live price feeds, high-frequency interactions, and absolutely no room for lag. When your users are making split-second decisions with real money, the tech has to hold up.
The Problem
- During peak trading hours, the existing system couldn't keep up with real-time price updates and the number of concurrent users hitting it at once.
- Order execution had noticeable latency, enough to erode user trust and hurt actual trading outcomes.
- The underlying architecture wasn't designed for growth. Every traffic spike caused slowdowns that rippled through the whole system.
- Pushing new code to production was slow and risky. Deployments required downtime, which meant the team shipped less often than they needed to.
- When things did go wrong, there wasn't enough observability in place to figure out what happened quickly.
“In trading, milliseconds matter. We needed a system that could handle live market data and execute orders instantly, without falling apart when things got busy.”
What We Built
We rearchitected Ophir's entire platform around real-time performance, horizontal scalability, and operational confidence, all while keeping active traders on the system.
- A new event-driven architecture built from the ground up for live price feeds and instant order execution.
- Backend services redesigned and optimized specifically for the demands of high-frequency trading operations.
- WebSocket-based streaming for live market data with minimal latency, persistent connections, and smooth updates even under heavy load.
- CI/CD pipelines that let the team ship updates frequently and safely, without taking the platform offline.
- Proper monitoring, structured logging, and real-time alerting so the team spots issues before users do.
- Reworked database queries and caching layers to keep response times tight even when traffic spikes.
Key Achievements
- Rebuilt the trading platform around an event-driven architecture designed for real-time performance.
- Brought execution latency down to milliseconds, right where it needs to be for live trading.
- Scaled infrastructure to handle peak loads without degradation or manual intervention.
- Gave the team the ability to ship updates frequently and safely through automated pipelines.
- Added the observability layer the team needed to stay ahead of issues instead of reacting to them.
“Beitroot took a system that was holding us back and turned it into something we're genuinely proud of. It's fast, it's stable, and we're not afraid to push code anymore.”