VictoriaMetrics Architecture for Prometheus-Based Monitoring
Overview
Why This Architecture
1. Full Prometheus Ecosystem Compatibility
2. Fixes Slow Queries (Especially histogram_quantile)
3. Horizontal Scalability Instead of Bigger Prometheus
4. Minimal Operational Change
When This Architecture Makes Sense
When It Is Probably Overkill
Architecture Description
Components and Roles
How It Is Introduced (High-Level Steps)
Advantages Summary
Example Performance and Cost Expectations
Query Performance Improvements
Storage Efficiency
Example Cost Scenarios
Small Environment (30k–60k active series)
Medium Environment (100k–250k active series)
Large Environment (300k–700k active series)
Summary of Cost vs Benefit
Recommended Topology (Non-Technical)
Conclusion