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Application Services – CSDM 4 Run

Sep 22, 2025

Problem

At Crawl and Walk, Application Services are connected to core infrastructure, applications, and ownership groups. However, gaps remain in aligning services with how they are offered and consumed at scale. The Run blueprint solves this by introducing Business Service Offerings alongside Technical Service Offerings, creating end-to-end visibility from infrastructure to business-facing services.

What the Blueprint Includes

The Run phase includes the following entities:

  1. Application Service – Root entity representing service instances.
  2. User – Service managers and owners.
  3. Group – Support and management groups.
  4. Business Application – Consumes the service and provides business context.
  5. SDLC Component – Lifecycle components that form part of the application stack.
  6. Application – Applications that the service depends on.
  7. Server – Servers hosting the service.
  8. Technical Service Offering – Packages the Application Service for delivery.
  9. Business Service Offering – Newly added at Run; provides business-facing service delivery context .

Considerations

  • Offerings: At Run, both Technical and Business Service Offerings must be linked to Application Services.
  • Dependencies: The model retains the Alternative Link Group rule: each Application Service must depend on either Applications or Servers, but at least one is required. You can add or remove "infastructure CI classes" as required.
  • Alignment: Ensure business-facing services (Business Service Offerings) are clearly mapped to technical underpinnings. In this model, only Production environments are required to has business context.
  • Plugins: SDLC Component class still requires the “CMDB CI Class Models” plugin.
  • Accountability: Maintain accurate ownership and group assignments for traceability.

Benefits

  • Full Service Transparency – Links Application Services from infrastructure all the way to business-facing offerings.
  • Enables Business Impact Analysis – When a failing Server, for example, is aware of the business impact through Business Service Offerings.
  • Improved Service Delivery – Aligns technical services with business offerings for more transparent value reporting.
  • End-to-End Traceability – Provides visibility across users, groups, infrastructure, applications, and offerings.
  • Operational Maturity – Elevates the CMDB from a technical registry to a service-aware system supporting both IT and business needs.

Check other templates related to the Service Delivery.

How to Get This Blueprint?

If you’re already a Data Content Manager Customer, you can download the Blueprint from the Knowledge Base. You will need your login credentials to access the blueprint download page.

My complex Blueprint was up and running in 10 minutes, and I got audit results immediately. It would have taken months to complete without DCM.

Enterprise Architect
Global Healthcare Company

DCM has been central in federating our dependency mapping to technical teams, and that momentum is building. It’s been a successful first year, and we’re extending use with additional blueprints.

Product Manager - Service Catalog
U.K. Public Sector

DCM has delivered incredible value to our business by drastically accelerating application rationalization. What would have taken years to complete was achieved in just months. Its intuitive, well-designed GUI makes navigation seamless for both users and administrators. Most importantly, DCM has significantly matured our CMDB, bringing clarity and structure. We highly recommend both the product and the outstanding team at Qualdatrix.

Banner Health

With CSDM providing a prescriptive data model and DCM providing a view of our data in a consumable manner, we are able to drive the necessary changes across the bank in a non-obtrusive way, which is seen to add value to our business, not be viewed as an operational overhead.

Craig Alexander
SVP, Danske Bank

The CMDB Data Quality Playbook

A Practical Guide for Improving ServiceNow Data Quality, Governance and AI-Readiness.

  • A practical way to establish ownership and roles
  • The 5-step model for data quality improvement
  • Best practices for engaging data providers
  • Five common pitfalls in CMDB data quality and how to avoid

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