This jumpstart deploys Fabric Cost Analysis (short: FCA) a solution to enable holistic monitoring of Microsoft Fabric Cost with the help of Microsoft Fabric.
🎬 Demo presentation available on YouTube : Fabric Cost Analysis
⚠️ Caution: The FCA solution accelerator is not an official Microsoft product! It is a solution accelerator, which can help you implement a cost monitoring solution within and for Fabric. Consequently, there is no official support provided, and there remains a potential risk of failures.
Content
Architecture

FCA Inputs
FCA gathers diverse data in Lakehouse to provide cost insights:
- FCA extracts Azure Cost in FOCUS format (a Unified Standard for Cloud Billing Data)
- FCA extracts enriched Microsoft Learn documentation data
- (optional) FCA extracts Azure Reservations details
- (optional) FCA extracts Azure Quotas
ℹ️ FCA will display only data related to Fabric costs, no other Azure cost will be prepare for analyze.
FCA Outputs
Report
| Page Name | FinOps Phase 🔗 | Purpose | Sample |
|---|---|---|---|
| Home | Inform | The page presents a summary of key financial metrics, some of which are already included in the cost of capacity, while others are not | Savings Benefits due to RI![]() Effect of pausing a capacity having throttling ![]() |
| Summary | Inform | The page provides an overview of cost per capacities across different regions, helping stakeholders to understand cost distributions and resource allocations within a specified timeframe | ![]() |
| Capacity Usage | Optimize | The page is designed to enhance efficiency by illustrating how capacity is being utilized, enabling stakeholders to monitor and optimize resource allocation effectively | ![]() |
| Reservation | Optimize | The page aims to reduce cloud waste by providing a comprehensive view of reservation-related data to verify the total usage of the reservation across the different capacities and a specified timeframe | ![]() |
| Cost Detail | Operate | The page offers a detailed view of cost distributions across different categories and resources and includes Year-to-Date calculations to help stakeholders to define, track, and monitor expenses effectively | ![]() |
| Quota | Operate | The page offers a detailed view of Azure Quotas per subscriptions | ![]() |
| Support | This page is designed to facilitate the learning and comprehension of the specific aspects of fabric costs and the contents of this report | ![]() |
Data Agent
With a Data Agent on top of the FCA semantic model you can query in natural language Fabric Cost.
The following provides an example of communication in both English and French.

And from Teams:

Support
The FCA solution accelerator template is not an official Microsoft service.
Ideas/Suggestions: Submit ideas and suggestions as issues in this repository.
Bug Reports: A backlog is maintained on the project issues page. If you encounter problems or have suggestions, add an entry to the issues section.
Important: Support tickets should not be opened for issues related to these templates. For any questions or concerns about the templates, create an issue in this repository.
Community Content
Below is a curated list of blog posts, sessions and articles that dive deeper into the use cases, design choices, and benefits of FCA solution.
- https://blog.crossjoin.co.uk/2025/10/19/monitor-fabric-costs-with-fabric-cost-analysis/
- https://www.jamesserra.com/archive/2025/12/fabric-cost-analysis-fca/
- https://blog.robsewell.com/blog/fca-fabric-cost-analysis-for-finops/
- https://sqlyard.com/2026/01/12/fabric-cost-analysis-explained-bringing-clarity-to-microsoft-fabric-costs/
- https://community.fabric.microsoft.com/t5/Fabric-platform-Community-Blog/Fabric-Cost-Analysis-Shine-a-light-on-your-platform-costs/ba-p/4907392
- https://www.linkedin.com/events/fabriccostanalysis-comprendre-m7394636250466578432/
- https://www.packtpub.com/en-us/product/the-definitive-guide-to-microsoft-fabric-9781806698790
- https://www.youtube.com/watch?v=6uOlYj_eSzo&list=PLmmHlkXlpkYZNAQRj4IOhb6usUvkGYj34
- https://www.youtube.com/watch?v=PJSZWTfUfc0&list=PLiYSIjh4cEx0dd7gkLFu2pjDqUkYGv_mU







