Raw Speed
Using Rust for the data pipeline allowed us to handle millions of points with minimal server footprint.
CASE_STUDY / 001
SYNTHETIX
DASHBOARD
78%
- Client
- Synthetix Neural Corp
- Role
- Architecture + UI Engineering
- Year
- 2025
[01_THE_CHALLENGE]
INFRASTRUCTURE
FATIGUE.
Synthetix was processing 2.4 million AI agent requests per second. Their existing interface was lagging by 12 seconds, creating a blind spot in critical infrastructure monitoring. They didn't need a skin; they needed a heart transplant.
Critical Bottlenecks
- - 12.4s latency in data propagation
- - High CPU overhead on client-side rendering
- - Fragmentation of neural node status metrics
Primary Objective
Sub-100ms real-time synchronization for global neural clusters.
[02_THE_SOLUTION]
LOGIC
DRIVEN
DESIGN.
// TECHNICAL APPROACHWe bypassed traditional REST patterns in favor of a binary WebSocket stream. By implementing a custom data serialization layer, we reduced the payload size by 78%, allowing the browser to render real-time telemetry without stuttering.
The UI was designed to prioritize "anomalous signals"—using the TBT coral accent only when data deviated from the baseline, preventing alert fatigue.
Latency Reduc.-94%
Throughput4.2M/s
Uptime99.9
Sync Time45ms
[03_THE_STACK]
REACT_19RUST_BACKENDWEBGL_CANVASD3_VISUALIZATIONPROTOBUF_SYNCTAILWIND_ENGINEREDIS_COREELASTIC_SEARCH
Visual Logic
A canvas-based grid system that scales to 8K resolution without losing frame rate.
Resilience
Multi-region failover built directly into the UI state management for 0-downtime monitoring.