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Case Study

A real-time payments dashboard rebuilt for scale

We rebuilt the merchant-facing analytics dashboard for an EU payments provider, cutting load times from 14 seconds to under one on accounts with millions of transactions.

Client
Payments provider
Industry
FinTech
Region
Netherlands, EU
Duration
12 weeks
A real-time payments dashboard rebuilt for scale — Payments provider

The challenge

The dashboard queried the production transactional database directly. Merchants with high volumes waited 14 seconds for a page, the largest accounts timed out entirely, and analytics load was starting to threaten payment processing itself.

What we did

Separated analytics from transactions

Reporting moved to a column-store replica, so merchant queries can never contend with payment writes again.

Pre-aggregated the common questions

The handful of views that drive most traffic are materialised incrementally rather than recomputed per request.

Rebuilt the frontend around perceived speed

Streaming responses, skeleton states, and route-level code splitting mean something useful is on screen almost immediately.

Load-tested against real shapes

We tested with the transaction distribution of their largest merchant, not synthetic uniform data that hides the actual bottlenecks.

The outcome

Merchant support tickets about the dashboard dropped away, and the analytics workload no longer poses a risk to payment processing.

Results

14s → 0.8s
Dashboard load time
0
Timeouts on largest accounts
−73%
Database load from reporting
98
Lighthouse performance score

Technology

VueNuxtClickHouseNode.jsKubernetes

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