🔮 Future Improvements

This page outlines key enhancements planned for Host Monitor to further evolve it into a scalable, intelligent, and enterprise-ready monitoring platform.

1. AI-Based Anomaly Detection

Implement statistical baselines and machine learning models to automatically detect unusual latency or packet loss patterns.
Reduce false positives by adapting to each host’s typical performance profile.
Highlight anomalies in the dashboard with contextual explanations.

2. Incident Prediction

Use time-series forecasting (e.g., Prophet, ARIMA) to predict potential downtime before it happens.
Provide early warnings for SLA breaches based on latency and uptime trends.

3. Root-Cause Analysis

Correlate outages and performance degradation across multiple hosts.
Identify common factors such as subnet, region, or ISP to isolate the likely cause.
Display probable root causes in the UI and include them in reports.

4. Advanced Alerting Integrations

Integrate with Slack, Microsoft Teams, Email, and PagerDuty for multi-channel notifications.
Implement alert deduplication and suppression during network flaps.
Add on-call scheduling integration for escalation policies.

5. Role-Based Access Control (RBAC) & Single Sign-On (SSO)

Restrict administrative actions to authorized users.
Support SSO through OAuth2, SAML, or OpenID Connect for enterprise environments.
Maintain audit logs for configuration changes.

6. Prometheus/Grafana Integration

Expose monitoring data as Prometheus metrics.
Provide ready-made Grafana dashboards for extended visualization and analytics.
Support flexible data retention and external metric queries.

7. Historical Charting & Custom Dashboards

Enable interactive historical charts for latency, uptime, and packet loss over days, weeks, and months.
Allow users to create, save, and share custom dashboard layouts.
Support host grouping, per-group thresholds, and widget-based UI customization.

These enhancements will expand the system’s capabilities beyond real-time monitoring, enabling predictive analytics, deep root-cause analysis, and fully customizable user experiences.

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