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Business Service Analyzer User Guide

Getting Started​

Prerequisites​

  • Network discovery must be running and collecting data
  • Software catalog should be populated
  • User must have appropriate permissions

Accessing the Feature​

  1. Navigate to CMDB → Business Service Analyzer
  2. Click "Analyze New Service" to start

Step-by-Step Guide​

Step 1: Service Description​

  1. Service Name: Enter a descriptive name (e.g., "Email Service", "SAP ERP")
  2. Description: Provide detailed description of the service's purpose
  3. Category: Select from predefined categories:
    • ERP
    • Email
    • Database
    • Web Application
    • Authentication
    • Monitoring
    • Custom

Tips:

  • Be specific in your description
  • Include key business functions
  • Mention critical components if known

Step 2: Software Selection​

  1. Search Software Catalog: Type to search for relevant software
  2. Select Multiple Items: Choose all software related to your service
  3. Manual Entry: Add software not in catalog if needed

Example for Email Service:

  • Microsoft Exchange Server
  • Exchange Management Tools
  • IIS Web Server
  • .NET Framework

Step 3: AI Enrichment​

The system automatically:

  1. Analyzes your selections
  2. Suggests additional:
    • Related processes
    • Network ports
    • Search patterns
    • Connected software

Review and Modify:

  • ✓ Accept suggested items
  • ✗ Remove irrelevant suggestions
    • Add manual entries

Step 4: Discovery Configuration​

Configure discovery parameters:

  1. Time Range: Select data collection period

    • Last 24 hours (recent activity)
    • Last 7 days (typical week)
    • Last 30 days (comprehensive)

  2. Discovery Scope: Review what will be searched

    • Process names
    • Software patterns
    • Port ranges
    • Network patterns

  3. Start Discovery: Click to begin automated discovery

Step 5: Discovery Preview​

Review discovered components:

  1. Servers Tab:

    • View all discovered servers
    • See running processes
    • Check confidence scores
    • Select/deselect servers

  2. Connections Tab:

    • Network connections between servers
    • Communication patterns
    • Port usage
    • Connection frequency

  3. Refinement Options:

    • Remove false positives
    • Add missed servers manually
    • Adjust classification if needed

Step 6: Results & Analysis​

Explore comprehensive results:

  1. Servers View:

    • Organized by tier (Frontend, Application, Data, Infrastructure)
    • Role classification with confidence
    • Key processes per server
    • Operating system details

  2. Insights Tab:

    • Executive summary
    • Business impact analysis
    • Technical architecture
    • Identified risks
    • Recommendations

  3. Visualization:

    • Interactive service map
    • Dependency visualization
    • Communication flows
    • Tier-based layout

  4. Save Options:

    • Save as Business Service CI
    • Export documentation
    • Schedule periodic re-discovery

Understanding Results​

Server Classification​

Roles:

  • web-server: Front-end web servers
  • app-server: Application servers
  • database: Database servers
  • message-broker: Messaging systems
  • load-balancer: Load balancers
  • cache-server: Caching systems

Confidence Scores:

  • 🟢 90-100%: High confidence
  • 🟡 70-89%: Medium confidence
  • 🔴 Below 70%: Low confidence

Service Tiers​

  1. Frontend: User-facing components
  2. Application: Business logic layer
  3. Data: Databases and storage
  4. Infrastructure: Supporting services

AI Insights​

Business Impact:

  • Criticality: Critical/High/Medium/Low
  • Affected users estimate
  • Downstream dependencies

Technical Analysis:

  • Architecture pattern
  • Redundancy assessment
  • Scalability evaluation
  • Performance considerations

Best Practices​

Before Starting​

  1. Ensure recent discovery data (< 7 days old)
  2. Update software catalog if needed
  3. Gather service documentation
  4. Know key application names

During Analysis​

  1. Start with well-known software
  2. Review AI suggestions carefully
  3. Use appropriate time ranges
  4. Validate discovered servers

After Analysis​

  1. Save service immediately
  2. Review periodically (monthly)
  3. Update after major changes
  4. Share with team members

Troubleshooting​

No Servers Found​

  • Check discovery data age
  • Verify process names
  • Expand time range
  • Check tenant/scope settings

Missing Servers​

  • Manual process entry
  • Check network segmentation
  • Verify discovery agent coverage
  • Review firewall rules

Incorrect Classification​

  • Adjust manually in preview
  • Provide more specific description
  • Check for multiple roles on server

Performance Issues​

  • Reduce time range
  • Limit process patterns
  • Break complex services into components

Advanced Features​

Manual Overrides​

  • Edit server roles
  • Adjust tier assignments
  • Modify confidence scores
  • Add custom metadata

Integration Points​

  • Links to server CIs
  • Creates relationships
  • Updates AI insights
  • Triggers notifications

Automation​

  • API endpoints available
  • Scheduled re-discovery
  • Alert on changes
  • Report generation

Security Considerations​

  • Data remains tenant-isolated
  • No credentials stored
  • AI processing uses anonymized data
  • Audit trail maintained