Fabric Unified Admin Monitoring: Part 3
Part II of this blog series explored how FUAM collects and organises data, and its pre-built reports that provide actionable insights. In this final blog, we’ll cover its limitations, operational considerations, and tips on how to deploy it.
Limitations and Considerations
FUAM delivers a strong foundation for monitoring Fabric and Power BI, but it’s not without trade-offs. Before rolling it out across an organisation, administrators should be aware of a few important considerations:
Not an Official Microsoft Product
Although FUAM was created by Microsoft employees, it is not part of the official product portfolio. Instead, it’s released as a community-driven solution accelerator. This has several implications:
– No official support:
there is no Microsoft support agreement behind FUAM. If something breaks, organisations must rely on GitHub issues, community discussions, or internal expertise.
– Community-driven roadmap:
new features and bug fixes depend on contributions from users and any future maintainers. While this allows faster iteration, it also means there is no guaranteed release cycle.
– Low Maturity level
while FUAM already covers many admin scenarios, it’s still a relatively young solution accelerator. Its feature set and documentation are evolving, and organisations adopting it today may encounter rough edges or incomplete coverage in certain monitoring areas. The real question is whether FUAM can keep up with how quickly Fabric is evolving.
Dependency on Fabric APIs and Monitoring Apps
FUAM extracts data through APIs such as the Admin API and Scanner API, as well as through existing Microsoft monitoring apps (for example, Capacity Metrics). While this is an advantage because it reuses official endpoints, it introduces some risks:
- Potential breaking changes – APIs evolve, and Microsoft may update or deprecate certain endpoints without prior notice. This might cause parts of FUAM to malfunction or break.
- Service limitations – API throttling, data latency, and retention limits apply to FUAM just as they do to any other tool. For instance, some activity logs are only available for a limited time, which impacts long-term analysis if ingestion is interrupted.
- Dependency chain – FUAM’s stability is tied to upstream services. If one of those services experiences downtime, data collection may be incomplete, and ingestions may fail.
Maintenance and Customisation Effort
The modular design of FUAM is a double-edged sword. It allows administrators to tailor the solution to their needs, but it also places responsibility on the organisation to maintain it:
– Initial setup:
deploying the pipelines, lakehouses, and reports requires Fabric knowledge and admin permissions.
– Upgrades:
staying aligned with the latest GitHub release requires periodic updates, testing, and validation within your environment. If there are custom reports built on FUAM, they may also need to be updated to remain compatible with any future releases.
– Customisation:
while FUAM provides ready-to-use reports, many organisations will want to adapt them to their governance policies. This requires additional development effort.
– Operational monitoring:
ironically, FUAM itself needs monitoring. If pipelines fail or refreshes break, administrators must detect and resolve these issues.
Governance and Security Considerations
Finally, because FUAM centralises sensitive administrative data, organisations must handle it with care by enforcing strict access control – ensuring only trusted administrators can access lakehouses and reports containing tenant-wide telemetry – aligning data retention policies with compliance requirements, as FUAM can store monitoring data indefinitely, and reviewing its open-source pipelines and transformations to ensure auditability before deployment.
Costs and Resource Impact
One of FUAM’s main attractions is that it is free to use – there are no licensing fees because it is an open-source solution. However, “free” does not mean costless. Running FUAM within your Fabric environment introduces both resource and operational costs that organisations should be aware of:
- Fabric capacity consumption – All data extractions, pipelines, and report refreshes run inside your Fabric tenant. This means FUAM consumes compute, storage, and capacity resources, which can affect performance if workloads are not properly optimised.
- Storage costs – FUAM retains data in raw and transformed formats (Bronze, Silver, and Gold layers). Over time, this historical data can grow significantly, increasing storage requirements. Organisations will need to balance retention policies with compliance and cost considerations. While one of FUAM’s strengths is the ability to track history indefinitely, there needs to be a careful balance between deep backtracking and cost optimisation.
- Operational and opportunity costs – While FUAM comes with pre-built pipelines and reports, it still requires initial deployment, ongoing updates, and occasional troubleshooting. If a pipeline breaks or an API changes, resolving the issue requires dedicated expertise which could be costly.
Key Takeaways
Fabric Unified Admin Monitoring brings together monitoring, governance, and historical insights in a way that existing Microsoft Fabric and Power BI tools do not. By leveraging Fabric-native components, FUAM gives administrators visibility across tenants, workspaces, capacities, and more – all within their own environment. While it is community-driven and not officially supported by Microsoft, its flexibility, extensibility, and ability to retain historical data make it a valuable accelerator for organisations that want to move beyond fragmented dashboards. For teams willing to invest in setup and ongoing upkeep, FUAM can serve as the foundation for proactive governance, optimisation, and compliance.
How to Get Started
If you’d like to try FUAM in your own tenant, here are some useful resources to get you going:
- Official Microsoft Fabric Toolbox – FUAM’s main GitHub repository with code, documentation, and deployment guides
- Kevin Chant’s Tips on Implementing – FUAM best practices and setup guidance from the field
- Marthe Moengen’s Blog on FUAM – A step-by-step guidance on setup and usage
- Kevin Chant’s FUAM Deploymenator – A tool that could accelerate deployment using a push-based method instead of the original pull-based one
- David Alzamendi’s hands on tutorial on how to set up FUAM
