Real-Time Event Intelligence & Correlation Layer
Project StreamMeshLive
Client:
NDA-protected enterprise
Duration:
7 months
Team:
2 backend engineers, 1 distributed systems engineer, 1 data engineer
The Problem
Event streams arrived from multiple systems but could not be correlated or enriched quickly enough for real-time operations.
What We Did
Built a scalable streaming backbone, added geospatial and temporal correlation modules, implemented a scoring API, and developed visualization tools.
Outcome
Achieved sub-200ms processing latency, consistent detection across event sources, and dramatically improved operational responsiveness.
Operational Impact
Real-time event fusion. Rapid decision-making. Unified intelligence layer.
Key Challenges
1
High Throughput Stability
Maintaining low latency under load spikes.
2
Correlation Logic Complexity
Aligning events from vastly different systems and timestamps.
What Made This Work
Low-Latency Architecture
Sub-200ms processing pipeline for real-time event correlation.
High-Throughput Correlation
Geospatial and temporal event alignment at scale.
Unified Event Intelligence
Consistent detection and enrichment across diverse event sources.