8 min read
From F64 to F32: Three Fabric Sizing Mistakes and the Fixes
Why we moved Microsoft Fabric from F64 to F32: the three sizing mistakes, the monitoring and alerts we added, and when going smaller is the wrong call.
Capacity Planning
7 articles
1 min read
Microsoft Fabric Capacity Planning: Right-Sizing Your Data Platform
For development and test environments, implement auto-pause policies to reduce costs during inactive periods. Monitor utilization patterns and adjust…
1 min read
Capacity Planning for AI: Scaling AI Infrastructure
Strategic capacity planning ensures AI systems can scale efficiently within budget.
1 min read
Capacity Planning for AI Workloads: A Practical Guide
1. Start with benchmarks Measure actual performance 2. Plan for peaks 2 3x average for safety 3. Build in headroom 20 30% buffer 4. Monitor continuously…
1 min read
Azure OpenAI PTU: Provisioned Throughput Units Explained
Aspect Pay As You Go PTU Pricing Per token Per PTU hour Throughput Shared, variable Dedicated, consistent Latency Variable Lower, consistent Commitment None…
8 min read
Fabric Throttling Explained: Reading Carryforward Before Users Do
How Fabric smoothing, carryforward and the four throttling stages work, how to read them in the Capacity Metrics app, and which levers actually help.
1 min read
Understanding Microsoft Fabric Capacities and SKUs
A Fabric Capacity is a pool of compute resources that powers all Fabric workloads in assigned workspaces. Unlike traditional Azure services where you…