Case Study: How Development Workspaces Were Consuming 20% of Fabric Capacity

When our client reached out, they were facing a critical issue:
their F64 capacity was frequently overloaded, causing reports to run slowly and frustrating business users. Performance complaints were becoming common, and the team had little visibility into what was really causing the bottlenecks.

The Audit

After a detailed audit of capacity consumption, one surprising fact stood out:
almost 20% of the resources were being consumed by development and test workspaces.

These environments typically shouldn’t have a heavy load. Development workspaces are meant for experimentation, testing, and occasional refreshes — not for running scheduled refreshes day and night. Yet in this case, many dev/test artifacts had scheduled refreshes configured, creating a constant drain on capacity.

The Fix

The first step was straightforward:

• Turn off scheduled refreshes in development and test workspaces.
• Ensure that data is refreshed only when truly needed for development or testing.

This immediate action alone improved the overall capacity condition and freed up resources for production workloads.

But we didn’t stop there.

The Strategy

To prevent the problem from recurring, we helped design a capacity management strategy that included:

• Creating a dedicated small Fabric capacity (sometimes F2 is enough) just for development and test workspaces.
• This dev capacity could be started and stopped as needed, further reducing costs.
• Developers retained full flexibility to test and experiment, without risking performance on the production capacity.

The Result

With this new setup:

• Production capacity was stabilized. Reports became faster and more reliable for end users.
• Development teams gained a dedicated environment tailored to their needs.
• Costs were optimized — no need to buy another expensive F64 just to “fix” overloads.

---

Key Takeaway

Very often, development done directly on production capacity is the hidden source of performance issues. By separating environments and managing refresh policies properly, organizations can avoid overloads, reduce costs, and deliver a smoother experience for business users.

👉 Does this situation sound familiar in your organization? Let’s talk about how we can help.

#MicrosoftFabric #PowerBI #Optimization #MicrosoftFabricOptimization #SelfService #SelfServiceBI #CitizenDeveloper #FabricMonitoring #FabricObservability #FabricManagement #FabricGovernance #BestPractices