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Backend·10 weeks

Real-Time Analytics Dashboard API

From 4-hour delay to 2-second latency

GoClickHouseWebSocketKubernetes
2s latency
Key Result
SaaS Platform · B2B · 500+ enterprise clients
Client

The Problem

A B2B SaaS had a 4-hour analytics delay. Enterprise clients couldn't react to live data — a critical gap when competitors were shipping live dashboards.

The Approach

Three-layer system: Go ingestion service (HTTP + Kafka), ClickHouse analytics store, WebSocket gateway for live dashboard streaming with configurable refresh.

Technical Decisions

Go for concurrency (50k+ connections per node). ClickHouse over TimescaleDB for analytical query patterns. Smart WebSocket diffing — only changed data points sent, reducing bandwidth 85%.

The Result

Latency from 4 hours to under 2 seconds. 2M+ events/hour at 99.97% uptime. Dashboard loads under 400ms. 15% churn reduction within two quarters.

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Real-Time Analytics Dashboard API | Case Study