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1.15.0
Yokohama, Xanadu, Washington DC, Vancouver
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
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: Click the Populate Data button on the home page to refresh all the tiles and widgets with the latest 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."
- New
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- Added Service Fingerprint as a source in the Name Suggestion - In the application Service Suggestions tab for ML powered Candidates, the application service candidates will now have Service Fingerprint as one of the sources in the Name Suggestion.
- Required plugins and products
- com.snc.service-mapping plugin