Right-sizing resources in Azure - Step-by-Step Execution

Process Flow - Right-sizing resources

Start: Identify resource usage

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Collect metrics: CPU, Memory, Disk

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Analyze usage vs capacity

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Decision: Over-provisioned?

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Downsize resource

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Apply changes

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End

This flow shows how to check resource usage, decide if resizing is needed, and then apply changes or keep monitoring.

Execution Sample

Azure

1. Check VM CPU and memory usage
2. Compare usage to VM size limits
3. If usage < 50%, choose smaller VM size
4. Resize VM to new size
5. Monitor after resizing

This process checks if a virtual machine is too large and resizes it to save cost.

Process Table

Step	Action	Metric Checked	Condition	Decision	Result
1	Collect CPU usage	CPU=30%	30% < 50%	Yes, over-provisioned	Proceed to downsize
2	Collect Memory usage	Memory=40%	40% < 50%	Confirm over-provisioned	Select smaller VM size
3	Select new VM size	Current: Standard_D4s_v3	New: Standard_D2s_v3	Smaller size chosen	Prepare resize
4	Apply resize	Resize VM	N/A	Resize successful	VM now Standard_D2s_v3
5	Monitor post-resize	CPU=45%, Memory=50%	Within limits	No further action	End process
6	Exit	N/A	N/A	Process complete	Right-sizing done

💡 Process stops after confirming resource usage fits new size and no further resizing needed.

Status Tracker

Variable	Start	After Step 1	After Step 2	After Step 3	After Step 4	Final
CPU Usage	Unknown	30%	30%	30%	45%	45%
Memory Usage	Unknown	Unknown	40%	40%	50%	50%
VM Size	Standard_D4s_v3	Standard_D4s_v3	Standard_D4s_v3	Standard_D2s_v3	Standard_D2s_v3	Standard_D2s_v3
Decision	None	Over-provisioned	Over-provisioned	Smaller size chosen	Resized	Complete

Key Moments - 3 Insights

Why do we check both CPU and memory usage before resizing?

Because both CPU and memory affect performance; resizing based on only one might cause problems. See execution_table rows 1 and 2 where both metrics are checked before deciding.

What happens if usage is just under 50%, is resizing always needed?

Not always; 50% is a guideline. The process confirms both CPU and memory are low before resizing, as shown in rows 1 and 2.

Why monitor after resizing instead of stopping immediately?

To ensure the new size handles workload well without issues. Execution_table row 5 shows monitoring after resize to confirm.

Visual Quiz - 3 Questions

Look at the execution_table, what is the CPU usage after resizing the VM?

A 45%

B 30%

C 50%

D 40%

💡 Hint

Check the 'CPU Usage' variable in variable_tracker after Step 4.

At which step does the process decide to select a smaller VM size?

A Step 1

B Step 3

C Step 2

D Step 4

💡 Hint

Look at the 'Decision' column in execution_table row for Step 3.

If memory usage was 70% instead of 40%, what would likely change in the execution_table?

A Decision to downsize would still happen

B Resize would be larger instead of smaller

C Decision to keep current size would happen

D Monitoring step would be skipped

💡 Hint

Refer to the 'Condition' and 'Decision' columns in execution_table rows 1 and 2.

Concept Snapshot

Right-sizing resources means adjusting cloud resources to fit actual usage.
Check CPU and memory usage.
If usage is low, choose a smaller size.
Resize the resource.
Monitor after resizing to ensure performance.
This saves cost and avoids waste.

Full Transcript

Right-sizing resources in Azure means checking how much CPU and memory a virtual machine uses. If these are low, it means the VM is bigger than needed. The process starts by collecting CPU and memory usage metrics. If both are below 50%, it decides the VM is over-provisioned. Then it selects a smaller VM size and applies the resize. After resizing, it monitors the VM to make sure the new size works well. This helps save money by not paying for unused capacity. The process stops when monitoring shows usage fits the new size.