Service-aware and application service context-aware data in the ServiceNow platform drives AI-powered service operations. Top-down mapping helps identify applications with URL entry points, while tag-based mapping simplifies the process for cloud and container environments. Imagine Service Mapping technology using Machine Learning (ML) to create no-code service maps.
The Service Mapping Plus application extends Service Mapping functionality, allowing you to accelerate the mapping process with an ML-powered framework. On the homepage, it enables the visualization of data related to application services, ML-powered candidates, and servers. In the navigation list, it gives you an option to select and experience the tag-based mapping workspace and along with the newly introduced multi-source Service Mapping.
Automated Service Suggestions: Service Mapping uses Machine Learning (ML) to suggest potential application services. ML automatically calculates entry points, enabling you to preview the service map. With just a few clicks, you can create and update application services based on these suggestions, which include multiple service name options from various sources.
Service Mapping Homepage: The home page has the following components:
- Search a server: Use the search bar to search for a server and view its details.
- Populate data: Select the Populate data button on the home page to update all the tiles and widgets with the most recent data.
- Mapped application services: This tile shows the count and list of application services.
- ML-powered candidates: This tile shows the count and list of application service candidates that can be converted to a service.
- Mapped servers: This tile shows the count and list of servers mapped to an application service.
- Unmapped servers: This tile shows a bar graph of 'Unmapped servers without candidate' and 'Unmapped servers with candidate'. These bars navigate to the respective lists in list navigation.
- Widgets that show service map data by operational type, creation method, and criticality, using visual bar graphs and a pie chart."
Multi-Source Service Mapping- gain a single, trusted view of your services by eliminating fragmented maps and blind spots across tools. Unify Top down, tag-based, and Service Graph Connector based maps into composite service maps, so your teams troubleshoot faster, understand dependencies at a glance, and make change decisions with confidence. Supported from Australia onwards.
New
- Enrich Your Service : the multi-source service mapping flow includes a new enrichment step when creating or editing services. This step lets you connect your service to business context using CSDM fields. New widgets on the Service Mapping workspace stating the number of services instances created by AI agent and Business Applications linked by AI Agent
- Required plugins and products
- com.snc.service-mapping plugin