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

Process Flow - Right-sizing resources

Start: Assess current resource usage

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Collect metrics: CPU, Memory, Network

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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

→Monitor continuously

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End

This flow shows how to check resource usage, decide if resizing is needed, then adjust resources accordingly.

Execution Sample

AWS

1. Check CPU and memory usage of EC2 instance
2. If usage < 30%, consider smaller instance type
3. Change instance type to smaller size
4. Monitor performance after change

This example shows how to decide and apply right-sizing for an AWS EC2 instance.

Process Table

Step	CPU Usage (%)	Memory Usage (%)	Decision	Action Taken
1	45	50	No resizing needed	Keep current instance type
2	25	20	Over-provisioned	Plan to downsize
3	25	20	Downsize to t3.medium	Change instance type
4	30	35	Performance acceptable	Continue monitoring
5	55	60	Usage increased	Consider resizing again
6	N/A	N/A	End of evaluation cycle	Stop

💡 Evaluation cycle ends after monitoring confirms stable performance or triggers new resizing.

Status Tracker

Variable	Start	After Step 2	After Step 3	After Step 4	Final
CPU Usage (%)	45	25	25	30	55
Memory Usage (%)	50	20	20	35	60
Instance Type	t3.large	t3.large	t3.medium	t3.medium	t3.medium
Decision	None	Downsize	Downsize applied	Monitor	Review needed

Key Moments - 2 Insights

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

Because resizing based on only one metric might cause performance issues if the other resource is still heavily used. See execution_table steps 1 and 2 where both metrics guide the decision.

What happens if usage increases after downsizing?

We monitor continuously and may need to resize again to a larger instance, as shown in execution_table step 5.

Visual Quiz - 3 Questions

Look at the execution table, what was the CPU usage when the decision to downsize was made?

A 25%

B 45%

C 30%

D 55%

💡 Hint

Check the 'CPU Usage (%)' and 'Decision' columns at step 2 in the execution_table.

At which step was the instance type changed to a smaller size?

A Step 1

B Step 3

C Step 2

D Step 4

💡 Hint

Look at the 'Action Taken' column in the execution_table for the step where the instance type changes.

If memory usage stayed high but CPU was low, what would be the best action?

A Downsize instance

B Keep current instance

C Upsize instance

D Stop monitoring

💡 Hint

Refer to the key_moments about checking both CPU and memory before resizing.

Concept Snapshot

Right-sizing resources means adjusting cloud resources to match actual usage.
Check CPU and memory metrics regularly.
If usage is low, downsize to save cost.
If usage is high, upsize to maintain performance.
Always monitor after changes to ensure stability.

Full Transcript

Right-sizing resources in cloud means checking how much CPU and memory your server uses. If the usage is low, you can choose a smaller server to save money. If usage is high, pick a bigger server to keep things running smoothly. You start by collecting usage data, then decide if resizing is needed. After changing the server size, keep watching the usage to make sure performance stays good. This process repeats regularly to keep costs low and performance high.