Fintech Case Study
How Trezy Transformed Financial Data Processing with Arkency's Event-Driven Approach
Trezy × Arkency — from unreliable webhooks and race conditions to a fully deterministic, event-sourced financial system.
The Challenge
Trezy, a fintech startup helping small business owners manage their cash flow, faced a growing challenge. Their existing system, built on a traditional CRUD-based approach, struggled to keep up with real-time financial data processing.
- Webhooks from multiple third-party banking providers were unreliable, leading to delays and data inconsistencies.
- Transaction classification was plagued by race conditions, causing inaccurate financial records.
- Cashflow reports were limited to monthly views, leaving business owners without granular insights for day-to-day decisions.
As Trezy grew, these limitations became bottlenecks, making it clear that a fundamental shift in their architecture was necessary. That's when Arkency stepped in to help.
The Turning Point
Trezy needed a system that could:
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1
Ensure reliable and scalable webhook processing while maintaining data integrity.
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2
Accurately classify transactions in real-time without concurrency issues.
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3
Provide instant and always-available cashflow reports at different time intervals.
Arkency proposed a shift to Event Sourcing and Event-Driven Architecture, leveraging Domain-Driven Design (DDD) principles. This would not only solve the immediate pain points but also future-proof Trezy's financial data infrastructure.
The Transformation
1. Reliable Webhook Processing
- Every incoming webhook stored as an immutable event — no data lost.
- Events processed asynchronously, reducing system load and ensuring stability.
- Past events reprocessable if a provider failed or changed format.
2. Accurate Transaction Classification
- Aggregates enforced strict business rules to prevent misclassifications.
- Process Managers orchestrated the classification workflow, eliminating race conditions.
- Classification became deterministic and auditable, improving trust in financial data.
3. Scalable Cashflow Reporting
- Reports precomputed from event streams instead of on-demand.
- Expanded from monthly to daily, weekly, quarterly, and yearly cashflow insights.
- Reports available instantly, enhancing decision-making for small business owners.
Results
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Webhook processing became fully reliable, reducing errors and improving data ingestion speed.
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Financial classification was now fully deterministic, eliminating inconsistencies.
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Cashflow reports became instantly available, increasing their usability for business owners.
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Scalability improved, allowing Trezy to integrate new financial data sources with ease.
Why Arkency?
Event Sourcing Expertise
Proven solutions for real-time data systems.
Deep Fintech Experience
Understanding the nuances of financial data integrity and compliance.
Business-Driven Approach
Focused on outcomes that matter to both developers and decision-makers.
Long-Term Partnership
Continuous improvement and adaptation as Trezy scaled.
Ready to Transform Your Financial System?
If you're facing similar challenges with financial data processing, let's talk.