Application service readiness dashboard in configurable workspace

  • Release version: Yokohama
  • Updated January 30, 2025
  • 4 minutes to read
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    Summary of Application service readiness dashboard in configurable workspace

    The Application service readiness dashboard helps ServiceNow customers verify their readiness to discover and map application services using machine learning (ML). It leverages Predictive Intelligence to analyze connections between application fingerprints, configuration items (CIs), and processes, providing traffic-based connection suggestions for Service Mapping.

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    This dashboard is part of Service Mapping Plus, available on the ServiceNow Store, and requires specific AI platform roles such as servicemappingadmin.

    Key Features

    • ML-Driven Connection Suggestions: Uses Predictive Intelligence to generate and rank connection suggestions, including servers and load balancers, enabling customers to validate and adjust service instance connections.
    • Interactive Dashboard Widgets: Display prerequisite statuses, ML-related service issues, and discovery readiness, with navigation links to detailed lists and forms for troubleshooting and review.
    • Reports Included:
      • Mapping status of application service: Bar report summarizing ML-related issues in mapped services.
      • Application fingerprints training status: Donut report showing the status of training predictive models for application fingerprints.
      • Traffic-based connection suggestions: Donut report reflecting the ratio of classified to valid connections during top-down discovery.
    • Service Issues Identification: Lists services most affected by ML-related issues when connection suggestions are enabled.

    Prerequisites and Configuration

    To ensure successful application service mapping using Predictive Intelligence, customers must confirm the following prerequisites are met and in a Ready state:

    • Predictive Intelligence plugin: Installed and active in the system.
    • ADME discovery enabled: Set the glide.discovery.enableadme property to True and enable relevant ADME probes per operating system.
    • IP address expansion limit: Ensure the sn.adm.ipexpansionlimit property is set to a positive number to handle global address expansions.
    • Scheduled jobs active: The "Applications suggestion - ITOM Autodisco" and "Service Mapping - Traffic Process to Process" scheduled jobs must be active to support fingerprint discovery and connection suggestions.
    • Connection suggestion property enabled: The saml.connectionsuggestions.active system property must be set to True to enable ML-based discovery.

    Practical Benefits

    By using this dashboard, ServiceNow customers can:

    • Quickly assess readiness for ML-based service discovery and mapping.
    • Identify and resolve issues related to missing fingerprints, processes, or hosts affecting service mapping accuracy.
    • Monitor training progress of application fingerprints to ensure confidence in connection suggestions.
    • Optimize service mapping quality through actionable insights and integration with Service Mapping Plus.

    Accessing the Dashboard

    Navigate to Workspaces > Service Mapping and select the Application service readiness icon to open the dashboard and review all related reports and widgets.

    Review the information on the dashboard to confirm that you’re ready to discover and map application services based on machine learning (ML). Service Mapping uses data processed by Predictive Intelligence to generate suggestions for traffic-based connections.

    The Application service readiness dashboard is part of Service Mapping Plus, available on the ServiceNow Store.

    Request apps on the Store

    Visit the ServiceNow Store website to view all the available apps and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.

    Predictive Intelligence evaluates connections between application fingerprints, CIs, and processes, and ranks their relevancy. Service Mapping uses this information to create connections based on connection rules. It also generates connection suggestions for servers and load balancers for you to decide which connections to add or remove from the service instances.

    Widgets on the ML Dashboard page show the information about prerequisites and issues related to service discovery based on Predictive Intelligence. Select links inside the widgets and reports to navigate to the related list or form.

    Required ServiceNow AI Platform roles

    service_mapping_admin

    Access the Application service readiness dashboard

    To open the dashboard, navigate to Workspaces > Service Mapping. Then select the Application service readiness iconapplication service readiness icon. Assessment dashboard

    Reports

    The dashboard includes the following reports.
    Title Type Source table Description
    Mapping status of application service A bar report
    Bar report icon
    		 ML-Related Service Status [ml_related_service_status] A bar report that provides the summary of ML-related issues in mapped application services. For detailed information, see Mapping status of application services.
    Application fingerprints training status A donut report
    Donut report icon
    		 AFP Training Status [afp_training_status] A donut report that shows the status of application fingerprint training. Predictive Intelligence trains predictive models and machine-learning solutions. View the training status for application fingerprints to understand if your deployment is ready for mapping using Predictive Intelligence.
    Traffic-based connection suggestions for existing discovered services A donut report
    Donut report icon
    		 Connection Suggestions [sa_ml_connection_suggestion] A donut report that reflects the ratio of classified connections to valid connections in the Connections Suggestions table. This table is only populated during top-down discovery.

    Mapping status of application services

    Review the summary of ML-related issues in mapped application services.
    Category Description
    Mapped without issues The number of service instances discovered without ML-related issues.
    Missing source-target AFP The number of service instances missing some application fingerprints for a source or target process. To solve issues, calibrate the fingerprint-based discovery.
    Missing source-target process The number of service instances missing some source-target process information. To solve these issues, rediscover the target hosts and ensure that the relevant processes are discovered.
    Confidence level unavailable The confidence level indicates the likelihood of this connection being part of the service instances. If the confidence level appears as N/A, wait until the application fingerprints training is complete.
    Missing target host The number of service instances with some CI connections not fully discovered, because the horizontal discovery didn't discover host CIs. To solve these issues, rediscover the target hosts and ensure that the relevant processes are discovered.

    Prerequisites status

    Service instance mapping requires the integration of several modules and applications: credentials, Predictive Intelligence, enhanced Application Dependency Mapping (ADME) discovery, and scheduled jobs. Review the list of prerequisites and ensure that the state of all prerequisites is Ready.

    Prerequisite Description
    Install and enable Predictive Intelligence (PI) plugin Service Mapping uses Predictive Intelligence to generate connection suggestions.
    1. Ensure that the Predictive Intelligence plugin appears Installed.
    2. Click the Predictive Intelligence tile and verify that the Status is Active. If the status is Inactive, select the Activate/Repair link under Related Links.
    Enable ADME property Service Mapping uses ADME probes. Ensure that the glide.discovery.enable_adme property is set to True.
    Enable ADME or ADM probe for each relevant OS There are multiple ADME probes for different types of operating systems. Enable all probes necessary to discover configuration items (CIs) in your environment.
    Allow IP address expansion

    This setting helps manage the expansion of global addresses (such as '0.0.0.0' or '*') into individual IP addresses. The limit for this expansion must be greater than 0.

    To verify and set this limit:
    1. Navigate to the System Property [sys_property] table.
    2. Locate the sn.adm.ip_expansion_limit property.
    3. Ensure that this property is set to a positive number.
    Enable application fingerprint (AFP) scheduled job Ensure that the Applications suggestion - ITOM Autodisco scheduled job that controls the fingerprint-based discovery is set to Active.
    Enable Connection Suggestion property Confirm that discovery based on Predictive Intelligence is enabled. Navigate to the System Property [sys_properties] table and verify that the sa_ml.connection_suggestions.active property is set to True.
    Enable connection suggestion scheduled job Ensure that the Status of the Service Mapping - Traffic Process to Process scheduled job is Active. This schedule job triggers generation of connection suggestions.

    Service issues

    Review the list of service instances most affected by ML-related issues. The list of most affected services is available if the connection suggestions feature is enabled in your deployment. The list shows service names and the number of ML-related issues for each of them. It also indicates if the traffic-based feature is enabled for the services.