Right-Size Every Azure VM, Autonomously
Most Azure VM fleets are provisioned for peak load and never revisited, leaving teams paying for capacity they rarely use. Sedai continuously analyzes utilization patterns and right-sizes VMs (in-family, cross-family, and burstable) while optimizing purchasing, so your fleet matches actual demand.
VM Optimization Isn't a One-Time Sizing Decision.
Azure gives you dozens of VM families and sizes, but choosing right the first time isn't the same as staying right. Workloads drift, teams estimate for the worst case, and manual rightsizing can't keep pace across a growing fleet.
Peak-load estimates become the safe default, and the safe default becomes permanent.
Downsizing without deep analysis risks throttling or availability issues, so teams round up instead, and the gap between allocated and actual usage compounds every month.
Rightsizing doesn't scale with the fleet.
Tracking utilization and adjusting instance types across hundreds or thousands of VMs by hand can't keep up with how fast workload patterns shift.
Azure's VM catalog adds another layer of difficulty.
Azure's VM catalog adds another layer of difficulty. With general-purpose, compute-optimized, memory-optimized, and burstable families all in play, matching the right family — not just the right size — to a workload's actual profile is its own analysis problem.
How We Help
Continuous VM Right-Sizing
Sedai analyzes utilization data to right-size VMs — in-family for consistency, cross-family for true mismatches, or burstable B-series where usage patterns fit.
Safe, Autonomous Execution
Sedai applies changes with built-in safety checks, audit trails, and health monitoring — or via Copilot mode for teams who want to approve first.
Purchasing Optimization
Get recommendations across on-demand, reserved instances, and savings plans, layered on top of rightsizing to minimize total compute spend.
Stop Sizing for Peak.
Start Paying for Actual.