AI Integrated Automated Network Configuration Management Workflow

Automated Network Configuration Management

1. Network Discovery

1.1 Automated Device Identification

Utilize AI-driven tools to automatically identify and catalog network devices. Examples include:

• SolarWinds Network Performance Monitor
• NetBrain

1.2 Topology Mapping

Employ AI algorithms to create a visual representation of the network topology, facilitating better understanding and management.

• Cisco DNA Center
• Lucidchart with AI integration

2. Configuration Management

2.1 Automated Configuration Backups

Implement AI tools to schedule and automate regular configuration backups, ensuring data integrity and quick recovery options.

• RANCID
• ManageEngine Network Configuration Manager

2.2 Change Management

Utilize AI to analyze configuration changes and predict potential impacts on network performance.

• ServiceNow with AI capabilities
• Git for version control with AI-driven insights

3. Compliance Monitoring

3.1 Policy Enforcement

Deploy AI solutions to ensure compliance with industry standards and internal policies by monitoring configurations in real-time.

• Qualys Cloud Platform
• Darktrace for anomaly detection

3.2 Audit Trails

Utilize AI to maintain detailed logs of configuration changes, making it easier to conduct audits and ensure accountability.

• Splunk with AI analytics
• LogRhythm for security information and event management

4. Incident Response

4.1 Automated Alerting

Implement AI-driven alerting systems to notify IT personnel of configuration anomalies or potential security breaches.

• Palo Alto Networks Cortex XSOAR
• IBM Watson for Cyber Security

4.2 Root Cause Analysis

Leverage AI tools to conduct root cause analysis, enabling faster resolution of network incidents.

• Dynatrace with AI insights
• Moogsoft for AIOps

5. Performance Optimization

5.1 Traffic Analysis

Utilize AI to analyze network traffic patterns and optimize configurations for improved performance.

• ThousandEyes for network performance monitoring
• Arista CloudVision

5.2 Predictive Analytics

Employ AI-driven predictive analytics to forecast network issues before they impact operations.

• VMware vRealize Network Insight
• NetScout for proactive network management

6. Reporting and Documentation

6.1 Automated Reporting

Use AI to generate comprehensive reports on network configurations, incidents, and performance metrics.

• Grafana for data visualization
• Power BI with AI capabilities

6.2 Documentation Management

Implement AI tools for maintaining up-to-date documentation of network configurations and changes.

• Confluence with AI integration
• Notion for collaborative documentation