We've built monitoring systems for high-volume DeFi protocols and helped enterprises make sense of on-chain activity. Each project taught us something different about what actually works in production environments.
Here's what we've shipped recently—real implementations that handle millions of transactions daily.
These aren't case studies with perfect endings. They're actual systems we built, debugged, and scaled when things didn't go as planned.
Built for a Taiwan-based DeFi aggregator managing assets across seven chains. The challenge was tracking liquidity migrations in real-time without drowning in false alerts. We ended up processing 2.3 million events daily with a custom filtering system that learned from operator feedback.
An electronics manufacturer needed to verify supplier transactions on a private blockchain without exposing commercial relationships. The interesting part was designing queries that revealed anomalies while maintaining confidentiality. We deployed this in January 2025 and it's already flagged three contract violations.
Most blockchain monitoring projects fail in the first month because teams underestimate data volume. We learned this the hard way in 2023 when our first system collapsed under mainnet load.
Now we start small and scale deliberately. Every project follows a similar pattern, though the technical details vary wildly depending on what chain you're dealing with.
We map your blockchain activity for two weeks before writing code. This reveals patterns that aren't visible in documentation and helps us design storage systems that won't buckle under real conditions.
Start with one data stream and prove it works before adding complexity. We typically spend weeks on a single event type until the monitoring logic is bulletproof, then gradually expand coverage.
The system runs in observation mode for 30-45 days while we tune thresholds based on your actual operations. This prevents alert fatigue and ensures notifications mean something when they arrive.
Blockchain networks evolve constantly. We maintain systems for clients with monthly reviews of query performance and quarterly adjustments as network conditions change. It's never truly finished.