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Data Analytics Platform
Data Analytics Platform

Data Analytics Platform

Date

Oct 17, 2025

effective

10M/day Data Processing, <100ms Response Time

CLIENTS

Barone LLC.

Role

Tech Strategy

We review your current setup and design a scalable SaaS architecture from day one.

Without a tech strategy, the Series Seed analytics SaaS capped at 500K daily events and unstable performance.

Our architecture review established a scalable foundation processing millions of daily events from production.

Case Study Overview

Data Analytics Platform
Data Analytics Platform

The monolithic prototype lacked caching and distribution, causing 800ms query latency and frequent timeouts.

Without a strategic blueprint, technical debt and rewrites threatened market entry and investor confidence.

The Challenge

Data Analytics Platform

We audited and designed an AWS event-driven architecture using Kafka, ClickHouse, Redis, and serverless scaling.

Through phased planning and load testing, we sustained sub-100ms latency processing 10M events daily.

Our Approach

We review your current setup and design a scalable SaaS architecture from day one.

The redesigned architecture handled 10M+ daily events under 100ms, supporting rapid customer growth.

By eliminating bottlenecks and reducing costs 55%, the foundation enabled innovation and Series A.

Final Result

Data Analytics Platform
Data Analytics Platform
Data Analytics Platform
Data Analytics Platform

Partners

Apex Metrics

Partners

PulseData

Partners

Sentinel Flow

The Teams

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