Partner Spotlight: MetricsFlow

Introduction

MetricsFlow is a high-growth B2B analytics platform supplying real-time usage statistics to major software platforms. Despite having strong underlying tracking, their dashboard was experiencing severe latency. On average, page layouts and visual graphics required over 12 seconds to compile and load, causing initial users to drop off in frustration.

Before & After

The Challenge

The bottleneck resided in non-optimized database queries and direct dynamic table calls on every dashboard refresh. The system had no caching tier, meaning standard queries were processed repeatedly from scratch, blocking server CPU threads and choking rendering processes during high-volume spikes.

Our Approach

Kliivo re-architected MetricsFlow's backend entirely. We introduced a robust Node.js server engine paired with high-performance Redis caching layers. Active query models were indexed, and static charts were pre-computed at the edge. On the front-end, we refactored code using Next.js App Router and optimized data-fetching patterns.

Next.js

TypeScript

Node.js

Redis

PostgreSQL

Tailwind CSS

Key Takeaways & What Changed

Dashboard responsiveness went from sluggish to immediate. The application could scale seamlessly under sudden query traffic jumps, with serverless processing costs decreasing significantly.

SaaS dashboard retention is directly tied to performance speed. Introducing low-latency Redis caching layers and edge pre-computation ensures B2B platforms remain fast, responsive, and delightful to use.