Continuously monitor Fabric resource usage (CPU, memory, storage) and manually adjust capacity settings based on observed patterns, ensuring no over-provisioning.

Implement auto-scaling policies that dynamically adjust Fabric capacity based on real-time workload demands, with predefined rules to balance performance and cost.

Allocate fixed, dedicated resources for critical workloads only, ignoring the potential for fluctuating demand across other workloads.

Use Azure Monitor and Azure Cost Management solely for tracking usage and costs, without implementing any changes to capacity settings.