Lilly Tech Systems
Intermediate
Health Scoring
Create composite health scores for network devices and services using multi-dimensional metrics and AI-driven weighting systems.
What is a Health Score?
A health score is a single composite metric (typically 0–100) that summarizes the overall condition of a network device or service. It aggregates multiple individual metrics into an intuitive indicator that operators can quickly understand and act upon.
Health Score Components
| Component | Metrics | Weight (typical) |
|---|---|---|
| Availability | Uptime, reachability, protocol status | 30% |
| Performance | CPU, memory, latency, throughput | 25% |
| Errors | Interface errors, log errors, retransmissions | 20% |
| Capacity | Utilization vs. capacity headroom | 15% |
| Risk factors | Device age, firmware currency, known vulnerabilities | 10% |
AI-driven weighting: Instead of static weights, use machine learning to learn optimal weights from historical failure data. Features that correlate most strongly with failures receive higher weights, making the health score a true predictor of future problems.
Scoring Methodology
- Normalize: Scale each metric to 0–100 based on acceptable ranges
- Weight: Apply learned or configured weights to each component
- Aggregate: Compute weighted sum for composite score
- Trend: Track score over time to detect degradation trends
- Contextualize: Adjust based on device criticality and redundancy
Health Score Tiers
- Healthy (80–100): Device operating normally, no action needed
- Warning (60–79): Some degradation detected, schedule maintenance review
- Critical (40–59): Significant issues, prioritize for maintenance
- Failing (0–39): Imminent failure risk, immediate action required
Dashboard design: Display health scores as a heat map across your network topology. This gives operators instant visibility into which parts of the network need attention, enabling proactive maintenance prioritization.