Problem Currently, Microsoft Fabric capacities run continuously once they are enabled. Many organizations only need Fabric workloads during business hours (for example, Monday–Friday, 9 AM–6 PM). If the capacity continues running outside these hours, it can lead to unnecessary compute costs. At the moment, administrators must rely on external automation tools such as: Azure Automation Power Automate to schedule capacity start and stop operations. While these solutions work, they require extra setup, permissions, maintenance, and monitoring. Proposed Solution Introduce a built-in scheduling feature inside Fabric Capacity Settings that allows a Tenant Admin or Capacity Admin to define when a Fabric capacity should automatically start or stop. Example scheduling options could include: Start capacity at 8:00 AM Stop capacity at 7:00 PM Capacity pause during weekends Custom schedules for holidays or non-working days This configuration could be added directly in: Fabric Admin Portal → Capacity Settings → Scheduling Benefits Cost Optimization Organizations only pay for capacity when it is actually needed. Simplified Administration No need to configure external automation scripts or workflows. Built-in Governance Centralized scheduling managed directly inside Fabric. Better Cloud Cost Control Especially useful for development, testing, and non-production capacities. Real-World Example A company runs its analytics workloads during business hours only. Instead of running Fabric capacity 24/7, the admin could configure: Start: 8:00 AM (Monday–Friday) Stop: 7:00 PM (Monday–Friday) Paused on weekends This could significantly reduce operational costs while maintaining performance during working hours. Why This Matters As adoption of Microsoft Fabric grows, organizations are increasingly focused on cost governance and efficiency. Providing native scheduling for Fabric capacity would be a highly valuable feature for many customers. 👍 If you find this idea useful, please vote so the Microsoft Fabric team can consider adding this feature.
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