Azure Advisor recommendations - Step-by-Step Execution

Process Flow - Azure Advisor recommendations

Start: Azure resources deployed

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Azure Advisor scans resources

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Analyze configurations & usage

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Generate recommendations

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Categorize by type: Cost, Security, Performance, Reliability

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User reviews recommendations

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User applies or dismisses recommendations

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Resources optimized

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End

Azure Advisor scans your cloud resources, analyzes their setup and usage, then suggests improvements in cost, security, performance, and reliability.

Execution Sample

Azure

1. Deploy Azure VM
2. Azure Advisor scans VM
3. Advisor finds high cost
4. Advisor suggests resizing VM
5. User applies recommendation
6. Cost optimized

This sequence shows how Azure Advisor detects a costly VM and suggests resizing it to save money.

Process Table

Step	Action	Resource State	Advisor Output	User Action
1	Deploy Azure VM	VM running with default size	No recommendations yet	None
2	Advisor scans VM	VM running	Detects high cost due to large VM size	None
3	Advisor generates recommendation	VM running	Suggest resize VM to smaller size	None
4	User reviews recommendation	VM running	Recommendation visible in Advisor dashboard	User decides to apply
5	User applies recommendation	VM resized to smaller size	Cost optimized	Applied resize
6	Advisor rescans	VM resized	No further cost recommendations	None

💡 After applying recommendation, Advisor finds no further cost issues.

Status Tracker

Variable	Start	After Step 2	After Step 3	After Step 5	Final
VM Size	Default large	Default large	Default large	Smaller size	Smaller size
Cost Status	Unknown	High cost detected	High cost detected	Cost optimized	Cost optimized
Recommendation	None	None	Resize VM suggested	Resize VM applied	None

Key Moments - 3 Insights

Why does Azure Advisor suggest resizing the VM?

Because it detects the VM size causes higher cost than needed, as shown in step 2 and 3 of the execution_table.

What happens if the user ignores the recommendation?

The recommendation remains visible and cost stays high, as no action is taken after step 3.

Does Azure Advisor automatically apply recommendations?

No, the user must review and apply recommendations manually, as shown in step 4 and 5.

Visual Quiz - 3 Questions

Look at the execution_table, what is the VM size after step 5?

A Smaller size

B Default large

C Unknown

D Deleted

💡 Hint

Check the 'VM Size' variable in variable_tracker after step 5.

At which step does Azure Advisor detect high cost?

A Step 1

B Step 2

C Step 4

D Step 6

💡 Hint

Look at the 'Advisor Output' column in execution_table for when high cost is first mentioned.

If the user never applies the recommendation, what remains true?

A Cost is optimized

B Recommendation disappears

C High cost remains

D VM is resized automatically

💡 Hint

Refer to key_moments about user action and its effect on cost.

Concept Snapshot

Azure Advisor scans your cloud resources.
It finds ways to save money, improve security, boost performance, and increase reliability.
It shows recommendations in categories.
You review and apply them manually.
After applying, resources become optimized.

Full Transcript

Azure Advisor is a tool that looks at your Azure cloud resources. It checks how they are set up and used. Then it suggests ways to improve them. These suggestions help save money, make your setup safer, run faster, and be more reliable. You see these suggestions in the Azure Advisor dashboard. You decide which ones to apply. For example, if a virtual machine is too big and costs too much, Advisor will suggest resizing it. When you apply this, your costs go down. Advisor then checks again and if all is good, no more recommendations show. This process helps keep your cloud efficient and secure.