Microsoft Fabric
Microsoft Fabric9 min read•
Cost Management Strategies for Fabric
Optimize Fabric costs without sacrificing performance.
By Administrator
Managing Fabric costs effectively requires understanding consumption patterns and implementing optimization strategies.
Understanding Fabric Costs
Capacity-Based Pricing Pay for reserved capacity: - Consistent monthly cost - Shared across workloads - Scale up or down as needed
Consumption Components - Compute (CU consumption) - Storage (OneLake data) - Egress (data transfer out)
Cost Optimization Strategies
Pause Development Capacities Stop charging when not in use: - Pause overnight - Pause weekends - Automated scheduling
Right-Size Capacity Match capacity to workload: - Start small, scale up - Monitor utilization - Avoid over-provisioning
Autoscale Configuration Automatically adjust: - Handle peak loads - Return to baseline - Set spending limits
Efficient Workloads Optimize processing: - Incremental refresh vs full - Efficient Spark code - Query optimization
Monitoring Costs
Capacity Metrics App Track utilization: - CU consumption by workload - Peak vs average usage - Throttling events
Azure Cost Analysis Detailed billing: - By resource - Trends over time - Forecasting
Budget Controls
- Set Azure budgets
- Configure alerts at thresholds
- Review weekly/monthly
- Allocate by department
Frequently Asked Questions
Can I pause Fabric capacity?
Yes, you can pause Fabric capacity through the Azure portal when not in use. While paused, you are not charged for compute but still pay for OneLake storage. Data and artifacts remain accessible for viewing.
How does autoscale work in Fabric?
Autoscale automatically increases capacity during high demand and returns to baseline when load decreases. You set a maximum scale limit to control costs. Only pay for the higher capacity when actually used.
Microsoft FabricCostOptimizationManagement