Application and service asset management for dev teams
Before you start, this guide covers:
What does application and service asset management for application development teams mean.
Why service context, application dependencies, and configuration data matter for engineering teams.
How Service Collection supports developer workflows with Assets, a CMDB, Data Manager, and service relationships.
A practical walkthrough example from service modeling to incident and change context.
Service Collection products referenced: Jira Service Management, Assets, Customer Service Management, Rovo
Reading time: 9 minutes
Develop and operate applications with better service context
Application and service asset management is critical for application development teams because modern digital products depend on a web of applications, services, environments, infrastructure, and third-party components.
When information about applications, dependencies, ownership, and supporting systems is scattered across tickets, cloud consoles, spreadsheets, and tribal knowledge, teams have less visibility into change impact, incident risk, and service health.
That lack of context can slow delivery and increase the likelihood of outages or misdirected troubleshooting.
Developer applications and service asset management bring this context together in a trusted, shared model. With Service Collection, teams can track application and service configuration items, connect them to development work, understand relationships across the stack, and quickly identify owners.
This helps application development teams make safer changes, resolve incidents faster, reduce coordination overhead, and build and operate reliable services with greater confidence.
What is application and service asset management?
Application and service asset management is the practice of tracking the lifecycle, ownership, and dependencies of applications and services to improve operational visibility. By connecting applications to infrastructure such as relational databases, web services, microservices, or cloud environments, teams gain the service context needed to reduce incident risk and speed up deployments.
It combines several closely related capabilities:
Service configuration management: maintaining accurate information about services, applications, databases, APIs, cloud resources, and the relationships between them.
Asset and configuration tracking: organizing the systems and components that support software application delivery and production operations.
Service management workflows: applying that context to incidents, changes, requests, approvals, and reporting.
In Service Collection, Assets provides the structure for this data. Assets is your CMDB that stores all the configuration records and their relationships over time, helping teams understand not just what exists, but how components connect.
Service Collection’s Assets Data Manager then helps improve data quality by consolidating and reconciling records from multiple sources before teams rely on them operationally.
Why application and service asset management matters for developers
When application and component information is scattered across spreadsheets and siloed systems, it becomes difficult to get a clear picture of which applications a company runs, how they’re used, and, critically, what breaks when something changes.
Service Collection Assets gives you a structured, queryable CMDB that brings all your application and component data into one place — replacing scattered spreadsheets with a live, connected registry.
Atlassian Assets centralizes your application and service catalog in a single structured, searchable CMDB, replacing scattered spreadsheets and siloed tools with live, connected records. It maps dependencies among apps, components, and infrastructure and ties directly into Jira Service Management workflows, so teams always know what they have, who owns it, and what's affected when things change.
Assess change impact faster: Teams can understand which applications, environments, or dependent services may be affected before shipping a change.
Improve incident response: Responders can quickly identify the service owner, upstream and downstream dependencies, and likely affected infrastructure.
Reduce context switching: Developers and operators can access service and asset context directly in Jira Service Management workflows.
Strengthen service ownership: Teams can make ownership, support responsibility, and dependency data easier to find and maintain.
Improve trust in application services and operational data: Assets Data Manager helps reconcile records from cloud tools, discovery tools, and internal systems into a cleaner source of truth.
Support better collaboration with operations teams: Shared configuration context helps engineering and operations work from the same understanding during changes and incidents.
How Service Collection supports app and service-aware development
Service Collection helps development and operations teams bring configuration data into the workflows where it matters. Instead of keeping service models separate from day-to-day work, teams can connect apps, services, and dependencies directly to requests, incidents, and changes.
Build a service-centric CMDB with Assets
Assets lets teams define object schemas for the components that matter to software and application delivery and operations, and then map infrastructure and relational databases. That can include business services, applications, environments, APIs, databases, queues, cloud resources, repositories, and supporting teams.
Within a CMDB, those configuration items can be linked through relationships that reflect how services actually run. For example, a customer-facing application might depend on an API gateway, a database cluster, cloud infrastructure, and an owning team. That connected model becomes useful when teams need to understand impact quickly.
Best practice: start with one or two critical application services and the dependencies that matter most for incidents and changes. A lean, service-centric CMDB is usually more useful than a large model nobody maintains.
Use Assets Data Manager to improve data quality
Application and service data often comes from many places: cloud platforms, discovery tools, spreadsheets, internal documentation, and engineering systems. If those sources disagree, teams lose confidence in the model.
Assets Data Manager helps consolidate, cleanse, and reconcile data from multiple sources into a more reliable operational record. This makes it easier to normalize naming conventions, reduce duplicates, and identify gaps before they affect incidents, audits, or approvals.
For engineering and platform teams, that means more confidence in service ownership, environment records, and dependency data.
Map business services with application services and assets to access the impact of incidents and changes
Jira Service Management allows teams to associate requests or changes with Asset objects directly from the ticket view. That means an incident can be linked to the affected application or service, while a change can reference the environment or infrastructure it touches.
Once linked, responders and approvers have better context. They can see what service is involved, who owns it, what other components may be affected, and whether related work is already in progress.
Support faster troubleshooting with relationship context
A service record on its own is helpful. A service record connected to its dependencies is much more powerful. Relationship data helps teams move from “something is broken” to “this specific dependency may be the cause” more quickly.
For example, if a web application is degraded, the team can review the linked database, authentication provider, queue, and cloud environment to narrow the investigation. That shared view can also support incident swarming by giving development and operations teams a common map of the service.
Use automation to keep operational workflows moving
Automation can help teams act on service and configuration context without extra manual work. Teams can trigger notifications, route tickets, create follow-up tasks, or update records based on changes in state or linked objects.
Common examples include:
Routing incidents based on the selected service or owning team
Creating follow-up tasks when a critical dependency changes
Notifying stakeholders when incidents affect high-priority services
Associating standard operational checks with specific environments or components
Walkthrough example: from service model to faster incident triage, root cause, and resolution
Here is a practical example of how application and service asset management can work in Service Collection with Jira Service Management and Assets.
Scenario
A platform engineering team supports an internal developer portal and several customer-facing applications. Service ownership is partly documented, but dependency information is inconsistent and spread across diagrams, cloud tools, and team knowledge.
When incidents happen, responders spend too much time figuring out what changed and what components are involved.
Step 1: Define the service model
The team creates an Assets schema to represent key configuration items in its CMDB, including business services, applications, environments, databases, APIs, and owning teams. They start with one high-value application service and map its most important dependencies.
They define relationships such as:
Application depends on API service
API service depends on database cluster
Application runs in production environment
Platform team owns runtime infrastructure
Step 2: Consolidate source data with Data Manager
The team uses Data Manager to bring together records from cloud inventories, internal spreadsheets, and existing service documentation. Duplicate application names are reconciled, missing owners are flagged, and outdated records are cleaned up before publishing into the working model.
Outcome: the team now has a cleaner, more trustworthy service model rather than relying on competing versions of the truth.
Step 3: Connect the model to Jira Service Management workflows
The team adds Assets fields to incident and change workflows so engineers and operators can select the affected service or configuration item. When a new incident is created, responders can immediately see the linked application, owner, environment, and related dependencies.
That reduces the time spent asking basic triage questions and helps teams involve the right people earlier.
Step 4: Use the model during an incident
An incident has been reported due to elevated errors in a customer-facing application. The responder links the affected service in Jira Service Management and reviews the related configuration items. They see that the application depends on a shared authentication API and a database cluster.
A recent change is already associated with the authentication API. That clue helps the team narrow the investigation quickly and bring in the right owners without guessing.
Step 5: Improve future change planning
After the incident, the team starts using the same service relationships during change reviews. Before rolling out updates, they can see which dependent services may be affected and coordinate with the right teams in advance.
What this looks like in practice
Stage | What the team does | Operational value |
Model the service | Create service, app, environment, and dependency objects in Assets | Builds a usable CMDB for engineering and operations |
Improve data quality | Use Data Manager to reconcile data from multiple systems | Creates more trust in ownership and dependency data |
Connect to workflows | Link services and configuration items to incidents and changes | Gives teams context where they already work |
Triage faster | Use dependency relationships during incidents | Shortens investigation and escalation time |
Plan changes better | Review affected services and components before implementation | Improves risk awareness and coordination |
How to approach implementation
If you are building this capability for engineering or application development teams, a phased rollout usually works best.
Start with one critical application or service that frequently appears in incidents or changes.
Define the minimum useful set of configuration items and relationships.
Use Data Manager to improve the quality of source data before scaling broadly.
Add Assets context to incident and change workflows first, where it creates immediate operational value.
Expand the CMDB gradually as teams prove the model is useful and maintainable.
Good first milestone: make it easy for a responder or approver to answer what service is affected, what supports it, who owns it, and what else may be impacted.
Customer spotlight: Lucid Motors
[Assets is an] absolutely crucial part of our Jira infrastructure, and I frankly don’t know how you could do hardware engineering with Jira, without also tracking your hardware in the same space. Because when we tried to do it with fractured hardware tracking tools… there was no traceability inherent to our systems. And if you tried to do everything in those other tools, there’s no agility in that either. So we’ve really found something that works for us.
Felipe Luisi, Senior Product Manager, Lucid Motors
Frequently asked questions
What is application and service asset management?
Application and service asset management is the practice of tracking applications, services, dependencies, environments, configuration items, and ownership in a connected model. It gives development and operations teams reliable context for incidents, changes, requests, and service planning.
How does Assets support application development teams?
Assets provides a structured CMDB for modeling applications, APIs, databases, environments, cloud resources, and the teams that own them. Teams can link this context to Jira Service Management incidents and changes to assess impact, route work, and troubleshoot faster.
What is the difference between a CMDB and an asset inventory?
An asset inventory records what exists, while a CMDB also captures how configuration items relate to one another and support a service. Assets can serve as both by storing application and service records together with their dependencies, ownership, and operational context.
How can teams improve the quality of application and service data?
Use Assets Data Manager to consolidate, cleanse, normalize, and reconcile records from multiple sources before publishing them into the working model. Start with the data needed for critical incidents and changes, then expand as the service model proves useful and maintainable.