1ba5ce851d
Features: - Automated datacenter documentation generation - MCP integration for device connectivity - Auto-remediation engine with safety checks - Multi-factor reliability scoring (0-100%) - Human feedback learning loop - Pattern recognition and continuous improvement - Agentic chat support with AI - API for ticket resolution - Frontend React with Material-UI - CI/CD pipelines (GitLab + Gitea) - Docker & Kubernetes deployment - Complete documentation and guides v2.0 Highlights: - Auto-remediation with write operations (disabled by default) - Reliability calculator with 4-factor scoring - Human feedback system for continuous learning - Pattern-based progressive automation - Approval workflow for critical actions - Full audit trail and rollback capability
1.5 KiB
1.5 KiB
07 - Monitoring e Alerting
Ultimo Aggiornamento: [DATA_AGGIORNAMENTO]
Versione Documento: [VERSIONE]
Responsabile: [NOME_RESPONSABILE]
1. Monitoring Platform
1.1 Sistema Principale
- Soluzione: [ZABBIX/PROMETHEUS/NAGIOS/DATADOG]
- Version: [VERSION]
- Monitored Devices: [N]
- Metrics Collected: [N]/sec
- Data Retention: [DAYS] giorni
2. Monitored Systems
2.1 System Status
| Hostname | Type | Status | Uptime | Last Check | Issues | Acknowledged |
|---|---|---|---|---|---|---|
| [HOST] | [SERVER/NETWORK/APP] | [OK/WARNING/CRITICAL] | [DAYS] | [TIME] | [N] | [SI/NO] |
3. Alerting
3.1 Alert Configuration
| Alert Name | Severity | Trigger | Recipients | Escalation | Active |
|---|---|---|---|---|---|
| [ALERT] | [CRITICAL/WARNING/INFO] | [CONDITION] | [CONTACTS] | [MINUTES] | [SI/NO] |
3.2 Alert Statistics
| Period | Critical | High | Medium | False Positives | MTTR (min) |
|---|---|---|---|---|---|
| Last 7d | [N] | [N] | [N] | [N] | [N] |
| Last 30d | [N] | [N] | [N] | [N] | [N] |
4. Performance Dashboards
4.1 Available Dashboards
- Infrastructure Overview
- Network Performance
- Application Performance
- Security Events
- Capacity Planning
Token Utilizzati: [CONTEGGIO_APPROSSIMATIVO]
Prossimo Aggiornamento Previsto: [DATA]