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Network Configuration Change Management - rConfig V8

Change Manager: Unified Configuration Change Control

Section titled “Change Manager: Unified Configuration Change Control”

Change Manager represents rConfig’s comprehensive approach to configuration change visibility and control, bridging the gap between understanding what changed (Change Pulse) and controlling what will change (Change Forge). This unified framework transforms reactive configuration management into proactive change governance, enabling organizations to track historical changes, analyze patterns, and implement approval workflows for future modifications.

rConfig V8 Change Manager dashboard displaying Pulse analytics and Forge workflow status for network configuration control

Traditional Configuration Management Limitations

Section titled “Traditional Configuration Management Limitations”

Network configuration management has traditionally focused on two distinct, disconnected activities:

Reactive Change Detection: Configuration backup systems capture device configs on schedules, generating diffs when changes are detected. These systems answer “what changed?” but provide limited context about why changes occurred, who authorized them, whether they followed approved processes, or if they align with organizational change policies.

Manual Change Processes: Change approval workflows exist separately in ticketing systems, spreadsheets, or email threads. Approvals are documented outside the configuration management system, creating a disconnect between approved changes and actual device modifications. When unauthorized changes occur, correlation between approval records and configuration diffs requires manual investigation.

The Visibility-Control Gap: Organizations can see what changed after the fact, and they have processes for approving changes before implementation, but these two worlds rarely integrate. Change Pulse and Change Forge bridge this gap.


Change Manager provides end-to-end visibility and control across the complete configuration change lifecycle:

Historical Analysis (Change Pulse): Comprehensive visibility into past configuration changes with real-time analytics, pattern detection, audit trails, and compliance reporting. Change Pulse answers: What changed? When did it change? How frequently do changes occur? Which devices are most volatile? Are changes following expected patterns?

Future Control (Change Forge): Structured approval workflows for planned configuration changes with stakeholder review processes, automated validation, controlled deployment, and full audit documentation. Change Forge ensures: All changes are reviewed and approved, deployments follow organizational policies, stakeholders maintain visibility, and automated checks prevent misconfigurations.

Continuous Feedback Loop: Change Forge approvals inform Change Pulse analysis. Approved changes are tracked through implementation, creating complete audit trails linking approval records to actual configuration modifications. Unapproved changes detected by Pulse trigger alerts and investigations.

Closed-Loop Change Management:

  1. Change requested and approved via Change Forge workflow
  2. Configuration deployed to devices (manually or via automation)
  3. Change Pulse detects configuration modification
  4. System correlates detected change with approval record
  5. Compliance status updated (approved change executed as planned)
  6. Audit trail completed linking approval → deployment → verification

Exception Handling:

  1. Change Pulse detects unexpected configuration modification
  2. No corresponding approval record found in Change Forge
  3. Alert generated for unapproved change
  4. Investigation workflow initiated
  5. Retroactive approval or rollback determined
  6. Audit documentation updated with resolution

Change Pulse: Historical Change Visibility

Section titled “Change Pulse: Historical Change Visibility”

Change Pulse provides real-time visibility into configuration changes across your entire network infrastructure. By analyzing configuration diffs generated during backup operations, Change Pulse surfaces change patterns, frequency trends, and anomalies requiring investigation.

Core Capabilities:

Change Timeline: Chronological view of all configuration modifications across devices, filterable by date range, device, or change type.

Change Metrics: Quantitative analytics showing change volume trends:

  • Changes this month (total modifications across all devices)
  • Changes this week (recent activity for operational awareness)
  • Unreviewed changes (modifications requiring human review)
  • Critical changes (high-impact modifications flagged for attention)

Pattern Analysis: Identify change patterns indicating:

  • Devices with high change frequency (potential instability or active development)
  • Change clusters (coordinated modifications across device groups)
  • Unusual change timing (modifications during non-maintenance windows)
  • Recurring change types (repetitive modifications suggesting automation opportunities)

Audit Trail: Complete change history for compliance and troubleshooting:

  • What changed (specific configuration lines modified)
  • When changes occurred (timestamp and duration)
  • Change magnitude (lines added/removed/modified)
  • Device context (which devices were affected)
rConfig V8 Change Pulse dashboard displaying network configuration change metrics and recent device activity timeline

Key Metrics Displayed:

Changes This Month: Total configuration changes detected across all managed devices in the current calendar month. Provides high-level view of organizational change volume.

Changes This Week: Configuration modifications within the last 7 days, indicating current change velocity and helping identify active development or troubleshooting periods.

Unreviewed Changes: Configuration changes detected but not yet reviewed by administrators. High unreviewed counts suggest investigation backlog or potential unauthorized modifications.

Critical Changes: High-impact modifications flagged based on:

  • Security-related configuration (ACLs, authentication, encryption)
  • Core routing or switching changes
  • High-availability or redundancy modifications
  • User-defined critical change patterns

Recent Activity View: Real-time feed of latest configuration changes with:

  • Device identification
  • Change timestamp
  • Brief change summary
  • Link to detailed diff analysis
  • Review status indicator

Operational Awareness: Daily review of Recent Activity provides real-time awareness of network changes, helping operations teams understand current state and identify potential issues early.

Compliance Auditing: Change history with complete audit trails supports regulatory compliance requirements (HIPAA, SOX, PCI-DSS) mandating documentation of all infrastructure changes.

Troubleshooting Context: When network issues arise, Change Pulse provides immediate visibility into recent configuration modifications that may have contributed to problems.

Change Pattern Analysis: Historical change data reveals patterns informing change management policies:

  • Which devices change most frequently?
  • When do most changes occur?
  • Are changes clustered (coordinated efforts) or scattered?
  • Do change volumes correlate with incidents?

Unauthorized Change Detection: By monitoring for changes during unauthorized windows or on restricted devices, Change Pulse helps identify security violations or policy breaches.


Change Forge introduces structured approval workflows for configuration changes, transforming ad-hoc change processes into governed, auditable procedures. By requiring review and approval before changes are implemented, Change Forge prevents unauthorized modifications and ensures stakeholder visibility.

Planned Capabilities:

Approval Workflows: Multi-stage review processes with:

  • Configurable approval chains (requester → reviewer → approver)
  • Role-based approval routing (network engineers review technical changes, managers approve high-risk modifications)
  • Parallel or sequential approval paths
  • Conditional approvals based on change attributes

Automated Validation: Pre-deployment checks ensuring:

  • Proposed changes comply with organizational policies
  • Syntax validation prevents configuration errors
  • Impact analysis identifies affected services or devices
  • Dependency checks verify prerequisite configurations exist

Controlled Deployment: Orchestrated change implementation with:

  • Scheduled deployment windows
  • Phased rollout capabilities (pilot devices before full deployment)
  • Automated rollback on failure
  • Deployment verification and reporting

Stakeholder Visibility: Full transparency through:

  • Real-time approval status tracking
  • Notification to relevant stakeholders
  • Change impact assessments
  • Audit documentation linking approvals to deployments
rConfig V8 Change Forge preview interface showing approval workflow dashboard for network configuration management (coming Q1 2026)

Planned Metrics:

Pending Approvals: Number of change requests awaiting review and approval, providing visibility into workflow backlog.

Average Review Time: Mean time from change submission to approval decision, helping optimize workflow efficiency and identify bottlenecks.

Auto-Approved Changes: Count of changes automatically approved based on predefined criteria (low-risk, pre-approved change types), demonstrating automation effectiveness.

Rejected Changes: Number of change requests denied during review, indicating policy enforcement and potential training needs.

Stage 1: Change Request Submission

  • User initiates change request via Change Forge interface
  • Describes proposed modification and business justification
  • Attaches configuration snippets or change templates
  • Selects target devices and implementation timeline

Stage 2: Automated Validation

  • System performs syntax validation on proposed configuration
  • Impact analysis identifies affected devices and services
  • Policy compliance check ensures change aligns with organizational rules
  • Risk assessment assigns change risk level (low/medium/high/critical)

Stage 3: Approval Routing

  • Change routed to appropriate reviewers based on risk level and device type
  • Stakeholders notified of pending approval
  • Reviewers assess technical accuracy and business justification
  • Approval or rejection with comments documented

Stage 4: Scheduled Deployment

  • Approved changes queued for implementation
  • Deployment scheduled for approved maintenance window
  • Automated or manual deployment executed
  • Results captured and documented

Stage 5: Verification and Audit

  • Change Pulse detects configuration modification
  • System correlates deployment with approval record
  • Verification confirms change implemented as approved
  • Complete audit trail generated (request → approval → deployment → verification)

Change Governance: Enforce organizational change management policies by requiring approval for all configuration modifications, preventing unauthorized changes.

Risk Mitigation: Pre-deployment validation and impact analysis identify potential issues before changes are implemented, reducing change-related incidents.

Stakeholder Communication: Automated notifications and approval workflows ensure all relevant parties are informed and consulted before changes are deployed.

Compliance Documentation: Complete audit trails linking change requests, approvals, and deployments satisfy regulatory requirements for change management documentation.

Process Standardization: Templated approval workflows and automated validation ensure consistent change processes across teams and device types.


Integration: Pulse and Forge Working Together

Section titled “Integration: Pulse and Forge Working Together”

The true power of Change Manager emerges when Change Pulse and Change Forge operate in concert:

Approved Change Flow:

  1. Network engineer submits change request via Change Forge
  2. Automated validation checks configuration syntax and policy compliance
  3. Approval workflow routes request to appropriate reviewers
  4. Change approved and scheduled for deployment
  5. Configuration deployed during maintenance window (manually or via automation)
  6. Change Pulse detects configuration modification during next backup
  7. System correlates detected change with Change Forge approval record
  8. Change marked as “Approved and Implemented” in audit trail
  9. Compliance dashboard updated showing successful governed change

Unapproved Change Detection:

  1. Change Pulse detects unexpected configuration modification
  2. System searches Change Forge for corresponding approval record
  3. No matching approval found
  4. Alert generated: “Unapproved Change Detected”
  5. Notification sent to security and network operations teams
  6. Investigation workflow initiated
  7. Administrator reviews change details and determines:
    • Emergency change (retroactive approval needed)
    • Unauthorized modification (rollback required)
    • Configuration drift (automation correction needed)
  8. Corrective action taken and documented
  9. Incident closed with full audit trail

Trend Analysis Informing Policy:

  1. Change Pulse analytics reveal pattern: 80% of changes occur on edge routers
  2. Further analysis shows most edge changes are low-risk routing updates
  3. Change Forge policy updated: Edge routing changes auto-approved if within defined parameters
  4. Automation reduces approval backlog while maintaining governance
  5. Change Pulse continues monitoring for exceptions requiring review

Scenario 1: Planned Maintenance Window

Before Change Forge (Change Pulse Only):

  • Maintenance window scheduled via email/ticket
  • Changes implemented manually by engineers
  • Configurations backed up post-change
  • Change Pulse detects modifications
  • Manual correlation between ticket and detected changes
  • Incomplete audit trail (some changes undocumented)

With Change Manager (Pulse + Forge):

  • Change requests submitted via Change Forge for all planned modifications
  • Approvals obtained from stakeholders pre-maintenance
  • Changes deployed during window (manual or automated)
  • Change Pulse detects all modifications
  • Automatic correlation with approval records
  • Complete audit trail: request → approval → deployment → verification
  • Dashboard shows 100% change compliance

Scenario 2: Emergency Configuration Change

Before Change Forge (Change Pulse Only):

  • Critical issue requires immediate config change
  • Engineer makes emergency modification
  • Change documented in ticket retroactively
  • Change Pulse detects change post-implementation
  • Manual audit trail reconstruction
  • Potential compliance gap if documentation delayed

With Change Manager (Pulse + Forge):

  • Engineer makes emergency change to resolve incident
  • Change Pulse immediately detects modification
  • Alert: “Unapproved Change - Emergency Review Required”
  • Engineer submits retroactive Change Forge request explaining emergency
  • Fast-track approval process for emergency changes
  • Approval linked to detected change
  • Audit trail complete: emergency change → detection → retroactive approval → documentation
  • Compliance maintained even for emergency scenarios

Scenario 3: Configuration Drift Detection

Before Change Forge (Change Pulse Only):

  • Automated scripts make configuration changes
  • Change Pulse detects modifications
  • Engineers manually investigate each change
  • Time-consuming verification of legitimate automation vs unauthorized changes

With Change Manager (Pulse + Forge):

  • Automation scripts submit Change Forge requests programmatically (API integration)
  • Automated changes flagged with “Automation” tag
  • Auto-approval rules for known automation sources
  • Change Pulse detects modifications
  • Automatic correlation with automation approval records
  • Only unapproved changes trigger alerts
  • Engineers focus on exceptions, not routine automation verification

Change Manager is accessible via the main navigation:

Navigation Path: Config Tools → Change Manager

rConfig V8 navigation menu interface highlighting Change Manager location in Config Tools section

The Change Manager landing page provides unified view of both Change Pulse and Change Forge:

Change Pulse Section (Available Now):

  • Current month/week change metrics
  • Unreviewed and critical change counts
  • Recent Activity feed
  • Link to full Change History

Change Forge Section (Coming Q1 2026):

  • Pending approval counts
  • Average review time metrics
  • Auto-approval and rejection statistics
  • Link to Approval Workflow management

Recent Activity Feed:

  • Combined view of recent changes and approvals
  • Quick access to change details and approval status
  • “View All Activity” link for comprehensive history

Quick Actions:

  • Review Unreviewed Changes
  • View Critical Changes
  • Access Change History (Pulse)
  • Submit Change Request (Forge - coming Q1 2026)

Q1 2026 Initial Release:

  • Core approval workflow engine
  • Basic approval routing and notifications
  • Manual change request submission
  • Change correlation with Pulse detections
  • Audit trail generation

Q2 2026 Enhancements:

  • Automated validation rules
  • Impact analysis engine
  • Multi-stage approval workflows
  • Template-based change requests
  • API for programmatic submissions

Q3 2026 Advanced Features:

  • Automated deployment integration
  • Rollback capabilities
  • Phased deployment orchestration
  • Advanced analytics and reporting
  • Integration with external ticketing systems

Predictive Change Analytics: Machine learning models analyzing Change Pulse data to:

  • Predict change-related incidents before they occur
  • Recommend optimal maintenance windows
  • Identify automation opportunities
  • Detect anomalous change patterns

Self-Service Change Portal: User-friendly interface enabling non-network staff to:

  • Submit pre-approved change templates
  • Track approval status in real-time
  • Receive automated deployment notifications
  • Access change impact assessments

Continuous Compliance: Automated compliance checking ensuring:

  • All changes align with regulatory requirements
  • Policy violations detected immediately
  • Compliance dashboards updated in real-time
  • Audit reports generated on-demand

Regular Review Cadence: Establish daily or weekly review processes for unreviewed changes to maintain visibility and identify issues promptly.

Define Critical Change Criteria: Configure what constitutes a “critical change” based on organizational risk tolerance and compliance requirements.

Trend Analysis: Monthly review of change patterns to identify optimization opportunities, training needs, or policy adjustments.

Alert Configuration: Set up notifications for critical changes, high change volumes, or changes during non-maintenance windows.

Document Current Processes: Map existing change approval workflows to inform Change Forge configuration when available.

Identify Approval Stakeholders: Define who needs to approve different change types (technical reviewers, business approvers, security team).

Define Auto-Approval Criteria: Identify low-risk change types that can be auto-approved to reduce workflow overhead.

Establish Maintenance Windows: Define approved change windows to inform Change Forge scheduling capabilities.

Plan API Integration: If using automation tools, prepare for API-based change request submission to ensure automated changes flow through approval workflows.



Navigation: Config Tools → Change Manager

Change Pulse Features (Available Now):

  • Changes This Month metric
  • Changes This Week metric
  • Unreviewed Changes counter
  • Critical Changes alert
  • Recent Activity feed
  • Full Change History access

Change Forge Features (Coming Q1 2026):

  • Pending Approvals dashboard
  • Average Review Time metrics
  • Auto-Approved Changes tracking
  • Rejected Changes analysis
  • Approval Workflow management

Change Pulse: Real-time visibility into historical configuration changes with analytics and audit trails.

Change Forge: Approval workflows for future configuration changes with validation and controlled deployment.

Closed-Loop Management: Integration between Pulse detection and Forge approvals creating complete change lifecycle visibility.

Unapproved Change Detection: Alerts when Change Pulse detects modifications without corresponding Change Forge approval records.


Change Manager represents a paradigm shift in network configuration management, moving beyond reactive change detection to proactive change governance. By combining Change Pulse’s historical visibility with Change Forge’s approval workflows (coming Q1 2026), organizations gain unprecedented control over network configurations while maintaining the flexibility needed for operational agility.

Current Capabilities (Change Pulse):

  • Real-time change detection and analytics
  • Historical change visibility and audit trails
  • Pattern analysis and trend identification
  • Critical change alerting

Future Capabilities (Change Forge - Q1 2026):

  • Structured approval workflows
  • Automated validation and impact analysis
  • Controlled deployment orchestration
  • Complete change lifecycle management

The Vision: A unified change management framework where every configuration modification is visible, governed, and auditable—bridging the gap between understanding past changes and controlling future ones.