Stop over-provisioning
Rightsizing
Concrete recommendations to resize or pause under-used resources, with the impact
on cost and performance made clear.
How it works
Right-size with the numbers in front of you
Every recommendation pairs a concrete target SKU with the saving
and the performance headroom, so you cut cost without guessing.
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Analyze real utilization
Turbo360 reads CPU, memory, and throughput across your resources to find what is over-provisioned.
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Recommend the right size
Get a concrete target SKU for each resource, with the monthly saving and remaining headroom made clear.
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Review the trade-off
See the cost and performance impact side by side before you change anything.
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Apply with confidence
Resize or pause from the console, knowing the workload still has the capacity it needs.
Where recommendations come from
Two sources of rightsizing recommendations
Turbo360 brings Azure Advisor recommendations into the open and explains them, while running its own advanced analysis on top, so nothing is missed and every action is understood.
How it helps you
What rightsizing gives your team
Stop paying for idle capacity
Resize under-used VMs and databases down to what the workload actually needs.
No performance gamble
Every recommendation shows the headroom left, so you cut cost without risking the app.
Savings you can measure
Each action carries a clear monthly figure, so the win is easy to report.
Putting it into action
Execute the change your way
You decide how much control to hand Turbo360. Apply a recommendation instantly, schedule it for a maintenance window,
or keep Turbo360 read-only and route it into the change process you already run.
Option 1
Connect Azure
Give Turbo360 permission on the Azure side and execute the resize, pause, or downgrade directly from the recommendation.
Option 2
Schedule it for out of hours
Queue the change and let Turbo360 apply it during your maintenance window, so production is never touched while people are working.
Option 3
Push it to your change process
Keep Turbo360 read-only and raise the change in the tool your team already uses, so it follows your existing approval flow.
Not sure about a recommendation?
Let the AI Rightsizing Agent make the call with you
When a resize looks risky, ask the agent. It reads the real telemetry behind the recommendation and gives you data-driven guidance,
in plain language, on exactly why this resource can be safely changed.
Reads the real telemetry
The agent pulls 30 days of CPU, memory, and peak utilization for the exact resource, so the guidance is grounded in how it actually runs, not a generic rule.
Explains it in plain language
No Kusto, no metric charts to decode. You get a clear sentence on why the change is safe and what each spike in the data was caused by.
Shows the headroom it leaves
Every recommendation states how much room stays above peak after the resize, so you can apply it knowing the workload still has space to breathe.
Are your optimizations working?
Track whether you are actually
reducing waste, not just moving it
Your estate never stops changing. A saving you bank in one team can be quietly cancelled out by a new project in another. The savings tracker compares any two points in time and measures waste as a share of spend, so you can prove the trend is heading the right way.
Compare points in time
Put month against month and watch waste as a share of spend move, so a new workload in one place can never hide a saving lost in another.
Track at every scope
Run it at the root tenant or inside any individual cost scope, so you can follow waste and savings down to a single team, department, or environment.
Waste measured as a share of spend
Normalizing to a percentage keeps the measure honest as the estate grows, instead of chasing an absolute dollar figure that always moves.
Cost Analyzer
More features in this module
AI agents
Embrace AI in FinOps
Reduce technical debt & risk
Mitigate infrastructure vulnerabilities
Allocation & visibility
Make every cost accountable
Cost optimization
Reduce cloud waste
Budget planning
Forecast and control spend
Azure showback
Drive cost accountability
Azure reservations
Commit with confidence
Anomaly detection
Spot cost spikes
Scheduling
Run workloads only when needed