Mogul
Built a system demand analysis tool for visualizing resource utilization patterns across Netflix infrastructure
Overview
System demand analysis tool visualizing data flows and resource dependencies across large-scale distributed systems
Problem
Understanding system demand patterns across hundreds of microservices required aggregating and correlating metrics from multiple sources
Constraints
- Must handle data from hundreds of services
- Must show temporal patterns
- Must identify bottlenecks and resource contention
Approach
Built a tool that aggregates system metrics, correlates demand patterns, and visualizes resource flows across the infrastructure
Key Decisions
Use time-series correlation for bottleneck detection
Reasoning:
Bottlenecks manifest as correlated demand spikes; time-series analysis identifies these patterns automatically
Tech Stack
- Java
- Python
- Elasticsearch
- D3.js
Result & Impact
Enabled capacity planning and identification of resource contention across services
Learnings
- System demand visualization reveals hidden dependencies
- Time-series correlation is effective for bottleneck detection
Features
Mogul provides:
- System demand heatmaps
- Resource flow visualization
- Dependency mapping
- Bottleneck identification
- Capacity planning insights