Web App
PulseFlow Enterprise Analytics Engine
A real-time telemetry processing and data visualization dashboard handling 100M+ events daily with sub-second querying.
Project Background
PulseFlow required a modern cloud-native analytics dashboard capable of ingesting high-throughput telemetry streams from thousands of IoT devices and enterprise clusters. Sbu Tech engineered an end-to-end Next.js and Go microservices platform featuring custom WebGL timeline charts and automated anomaly detection.
Measurable Outcomes & Production Impact
100M+ / dayEvent Ingestion
< 220msQuery Latency
0.8sDashboard Load Time
38%Cost Reduction
The Engineering Challenge
The legacy monolithic backend was buckling under growing telemetry volume, suffering from multi-minute queries, UI freezes, and skyrocketing AWS compute costs.
Architectural Solution
We designed an event-driven architecture using Apache Kafka and ClickHouse columnar storage, paired with an optimized Next.js App Router frontend with virtualized data lists and server-side pre-aggregations.
Production Results
Query response speeds improved by 14x across all standard analytics widgets.
Reduced cloud infrastructure expenditure by 38% via columnar data compression.
Zero downtime migration for 2,400 active enterprise organizations.
Engagement Metadata
Client OrganizationPulseFlow Systems Inc. (Sample Client)
Delivery Year2025
Project Duration5 Months
Classification
Web App
Architecture & Stack
Next.jsTypeScriptTailwind CSSGoClickHouseKafkaDocker