Azure Savings Plans - Deep Dive

Overview - Azure Savings Plans

What is it?

Azure Savings Plans are a way to save money on your cloud costs by committing to use a certain amount of computing power over time. Instead of paying the full price for each virtual machine or service, you pay a lower rate by promising to use a fixed amount of resources for one or three years. This helps you plan your budget and reduce unexpected charges.

Why it matters

Without Azure Savings Plans, cloud costs can be unpredictable and expensive, especially if you run many virtual machines or services. Savings Plans help businesses save money by rewarding steady usage with discounts. This makes cloud computing more affordable and easier to manage, allowing companies to invest more in their projects instead of just paying bills.

Where it fits

Before learning about Azure Savings Plans, you should understand basic Azure services like virtual machines and how billing works. After this, you can explore other cost management tools like Azure Reserved Instances and Azure Cost Management to optimize spending further.

Mental Model

Core Idea

Azure Savings Plans let you pay less by promising to use a set amount of computing power over time, turning unpredictable costs into predictable savings.

Think of it like...

It's like buying a gym membership where you pay a fixed monthly fee for unlimited access instead of paying for each visit separately. If you go often, you save money compared to paying per visit.

┌───────────────────────────────┐
│       Azure Savings Plans      │
├───────────────┬───────────────┤
│ Commitment    │ Discounted    │
│ (1 or 3 years)│ Usage Rates   │
├───────────────┼───────────────┤
│ Fixed $/hour  │ Applies to VM  │
│ amount       │ and compute   │
│               │ services      │
└───────────────┴───────────────┘

Build-Up - 6 Steps

1

Foundation

Understanding Azure Compute Costs

Concept: Learn how Azure charges for compute resources like virtual machines by usage time and size.

Azure charges you based on the type and size of virtual machines or compute services you use, measured in hours or seconds. The price varies depending on the power and features of the machine. Without any discounts, you pay the full listed price for every hour your resources run.

Result

You see your cloud bill grow directly with how much and what kind of compute resources you use.

Knowing how Azure charges for compute is essential to understanding why committing to usage can save money.

2

Foundation

What Are Azure Savings Plans?

Concept: Introduce the idea of committing to a fixed hourly spend to get discounted rates on compute usage.

Azure Savings Plans let you commit to spending a certain amount of money per hour on compute resources for 1 or 3 years. In exchange, Azure gives you a lower price on those resources. This commitment applies across many types of virtual machines and compute services, giving flexibility.

Result

You pay less per hour for compute resources as long as your usage matches or exceeds your committed spend.

Understanding the commitment model helps you see how predictable spending leads to savings.

3

Intermediate

Types of Azure Savings Plans

🤔Before reading on: do you think Azure Savings Plans apply only to virtual machines or to other services too? Commit to your answer.

Concept: Azure offers different Savings Plans for various compute services, not just virtual machines.

There are two main types: Compute Savings Plans and App Service Savings Plans. Compute Savings Plans cover virtual machines, container instances, and other compute services. App Service Savings Plans apply to Azure App Service and Functions. This lets you save across different workloads with one commitment.

Result

You can choose a Savings Plan that fits your workload type and get discounts on multiple services.

Knowing the plan types helps you pick the best savings option for your specific cloud usage.

4

Intermediate

How Usage Matches Commitment

🤔Before reading on: do you think you must use exactly the committed amount every hour, or can usage vary? Commit to your answer.

Concept: Usage can vary, but savings apply up to your committed spend each hour.

If your usage is less than your commitment, you still pay for the full committed amount. If usage is more, the extra is charged at regular pay-as-you-go rates. This means you get the best savings when your usage is steady or above your commitment.

Result

You save money when your usage matches or exceeds your commitment, but might pay more if usage is lower.

Understanding this helps you plan commitments to avoid paying for unused capacity.

5

Advanced

Combining Savings Plans with Other Discounts

🤔Before reading on: can Azure Savings Plans be combined with Reserved Instances or other discounts? Commit to your answer.

Concept: Azure Savings Plans can work alongside other discount programs but have specific rules.

Savings Plans apply automatically to eligible usage, even if you have Reserved Instances. However, Reserved Instances provide discounts on specific VM sizes and regions, while Savings Plans offer more flexibility. Azure applies the best discount available to your usage to maximize savings.

Result

You get the best possible discount by combining Savings Plans with other offers, without double charging.

Knowing how discounts stack helps optimize cost savings in complex environments.

6

Expert

Optimizing Commitments for Dynamic Workloads

🤔Before reading on: do you think committing to a fixed spend is risky for workloads that change often? Commit to your answer.

Concept: Experts analyze usage patterns and adjust Savings Plans to balance savings and flexibility for changing workloads.

For workloads that vary, experts monitor usage trends and may buy multiple Savings Plans or adjust commitments over time. They also use Azure Cost Management tools to forecast usage and avoid overcommitting. This strategy reduces wasted spend and maximizes discounts even with fluctuating demand.

Result

You achieve significant savings without locking into unused capacity, adapting to real usage.

Understanding usage patterns and adjusting commitments is key to mastering cost optimization with Savings Plans.

Under the Hood

Azure Savings Plans work by recording your committed hourly spend and automatically applying discounted rates to eligible compute usage up to that amount each hour. The system tracks your actual usage and compares it to your commitment, charging the difference at standard rates if you exceed it. Discounts apply across multiple compute services within the plan's scope, providing flexibility. Billing systems aggregate usage and apply the best discount available per resource.

Why designed this way?

Savings Plans were designed to offer more flexibility than Reserved Instances, which lock you into specific VM types and regions. By committing to a spend amount rather than specific resources, customers can adapt their usage without losing discounts. This design balances cost savings with operational flexibility, responding to customer feedback for simpler, more adaptable pricing models.

┌───────────────────────────────┐
│       User Commits $X/hour     │
├───────────────┬───────────────┤
│ Usage Hour 1  │ Usage Hour 2  │
├───────────────┼───────────────┤
│ Actual Usage  │ Actual Usage  │
│ $Y/hour      │ $Z/hour      │
├───────────────┼───────────────┤
│ Discounted   │ Discounted    │
│ Charges =    │ Charges =     │
│ min(X,Y) *   │ min(X,Z) *    │
│ discounted  │ discounted   │
│ rate        │ rate         │
├───────────────┴───────────────┤
│ Charges above commitment at full rate │
└───────────────────────────────┘

Myth Busters - 4 Common Misconceptions

Quick: Do you think Azure Savings Plans require you to use the exact same VM size and region always? Commit to yes or no.

Common Belief: Savings Plans lock you into specific VM sizes and regions like Reserved Instances.

Reality: Savings Plans apply discounts based on your committed spend amount, regardless of VM size or region, offering more flexibility.

Why it matters: Believing this limits your willingness to use Savings Plans, missing out on flexible savings.

Quick: Do you think you save money even if your usage is below your committed spend? Commit to yes or no.

Common Belief: You save money as long as you have a Savings Plan, no matter your actual usage.

Reality: If your usage is below your commitment, you still pay for the full committed amount, which can increase costs if underused.

Why it matters: Misunderstanding this can lead to overcommitting and paying for unused capacity.

Quick: Do you think Savings Plans apply only to virtual machines? Commit to yes or no.

Common Belief: Savings Plans only discount virtual machines, not other compute services.

Reality: Savings Plans cover multiple compute services like containers and app services, depending on the plan type.

Why it matters: Not knowing this can cause missed savings opportunities across your cloud workloads.

Quick: Do you think Savings Plans and Reserved Instances discounts stack to double your savings? Commit to yes or no.

Common Belief: You can combine Savings Plans and Reserved Instances discounts to get double discounts on the same usage.

Reality: Azure applies the best discount available but does not stack discounts on the same usage to avoid double charging.

Why it matters: Expecting double discounts can lead to incorrect budgeting and disappointment.

Expert Zone

1

Savings Plans discounts apply at the billing system level, automatically optimizing across all eligible usage without manual intervention.

2

The commitment is to a dollar amount per hour, not specific resources, allowing seamless shifting of workloads without losing discounts.

3

Azure Cost Management APIs can forecast Savings Plans usage and recommend optimal commitment amounts based on historical data.

When NOT to use

Avoid Savings Plans if your workloads are highly unpredictable or short-lived, as overcommitting can increase costs. In such cases, pay-as-you-go or short-term Reserved Instances might be better.

Production Patterns

Enterprises often combine multiple Savings Plans for different workload types and regions, continuously monitoring usage to adjust commitments quarterly. Automation scripts integrate with Azure Cost Management to alert when usage deviates significantly from commitments.

Connections

Subscription Budgeting

Builds-on

Understanding Azure Savings Plans helps refine budgeting by turning variable compute costs into predictable expenses.

Financial Futures Contracts

Similar pattern

Both involve committing to buy a resource at a set price in the future to reduce uncertainty and manage risk.

Gym Membership Models

Analogous pricing strategy

Both use upfront commitments to offer discounts for regular usage, balancing customer commitment with provider revenue predictability.

Common Pitfalls

#1 Overcommitting to a high hourly spend without matching usage.

Wrong approach:

Commit to $10/hour Savings Plan but only use $5/hour compute resources.

Correct approach:

Analyze usage trends and commit closer to $5/hour or slightly above to avoid paying for unused capacity.

Root cause:

Misunderstanding that commitment charges apply regardless of actual usage.

#2 Assuming Savings Plans apply to all Azure services.

Wrong approach:

Expect discounts on storage or networking costs under Savings Plans.

Correct approach:

Use Savings Plans only for eligible compute services; manage other costs with different tools.

Root cause:

Confusing compute discounts with overall Azure billing.

#3 Buying multiple Savings Plans without tracking usage overlap.

Wrong approach:

Purchase several Savings Plans for the same workload without monitoring actual usage.

Correct approach:

Use Azure Cost Management to monitor usage and adjust Savings Plans to avoid redundant commitments.

Root cause:

Lack of ongoing cost monitoring and adjustment.

Key Takeaways

Azure Savings Plans reduce compute costs by committing to a fixed hourly spend over 1 or 3 years.

They offer more flexibility than Reserved Instances by applying discounts across various VM sizes and regions.

Savings Plans require careful planning to match commitments with actual usage to avoid paying for unused capacity.

Combining Savings Plans with other discounts maximizes savings but discounts do not stack on the same usage.

Experts continuously monitor and adjust Savings Plans commitments to optimize costs for dynamic workloads.

Practice

1. What is the main benefit of using Azure Savings Plans?

easy

A. Lowering costs by committing to use services over time

B. Increasing the speed of virtual machines

C. Automatically scaling app services

D. Improving security of cloud resources

Solution

1. Step 1: Understand the purpose of Azure Savings Plans

   Azure Savings Plans are designed to reduce costs by committing to use certain Azure services over a period.

2. Step 2: Compare options to the main benefit

   Options A, B, and D describe performance or security improvements, which are not the primary goal of Savings Plans.

3. Final Answer:

   Lowering costs by committing to use services over time -> Option A

4. Quick Check:

   Cost savings = Lowering costs by commitment [OK]

Hint: Savings Plans reduce cost by commitment, not performance [OK]

Common Mistakes:

• Confusing cost savings with performance improvements
• Thinking Savings Plans improve security
• Assuming Savings Plans scale resources automatically

2. Which of the following is the correct Azure CLI command to create a savings plan?

easy

A. az savingsplan deploy --name MyPlan --scope subscription

B. az savingsplan new --name MyPlan --scope subscription

C. az savings create --plan MyPlan --scope subscription

D. az savings-plan create --name MyPlan --scope subscription

Solution

1. Step 1: Identify the correct Azure CLI syntax for savings plans

   The official command to create a savings plan uses az savings-plan create with parameters like --name and --scope.

2. Step 2: Check other options for invalid commands

   Options B, C, and D use incorrect verbs or command structures not supported by Azure CLI.

3. Final Answer:

   az savings-plan create --name MyPlan --scope subscription -> Option D

4. Quick Check:

   Correct CLI command = az savings-plan create [OK]

Hint: Use 'az savings-plan create' to make a new plan [OK]

Common Mistakes:

• Using 'new' instead of 'create' in CLI
• Mixing 'savings' and 'savingsplan' commands
• Incorrect parameter names

3. Given a steady workload of virtual machines running 24/7, what is the expected behavior when applying an Azure Savings Plan?

medium

A. Costs for the virtual machines will decrease due to the commitment

B. Virtual machines will automatically increase CPU cores

C. The workload will be moved to a cheaper region

D. Virtual machines will restart daily to apply savings

Solution

1. Step 1: Understand how Savings Plans affect steady workloads

   Azure Savings Plans reduce costs by committing to usage, so steady workloads like 24/7 VMs benefit from lower prices.

2. Step 2: Eliminate options unrelated to cost savings

   Options A, B, and C describe changes to performance, location, or VM behavior, which Savings Plans do not cause.

3. Final Answer:

   Costs for the virtual machines will decrease due to the commitment -> Option A

4. Quick Check:

   Steady workload + Savings Plan = Lower cost [OK]

Hint: Savings Plans cut cost, not change VM specs or location [OK]

Common Mistakes:

• Thinking Savings Plans change VM performance
• Assuming workload moves to cheaper regions automatically
• Believing VMs restart to apply savings

4. You tried to create an Azure Savings Plan but received an error: "Invalid scope parameter." What is the most likely cause?

medium

A. The savings plan name is too long

B. The scope value is not a valid subscription or resource group ID

C. You did not specify the VM size

D. The Azure CLI version is outdated

Solution

1. Step 1: Analyze the error message about scope

   The error "Invalid scope parameter" indicates the scope argument is incorrect or malformed.

2. Step 2: Identify what scope should be

   Scope must be a valid subscription ID or resource group ID; an invalid or mistyped value causes this error.

3. Final Answer:

   The scope value is not a valid subscription or resource group ID -> Option B

4. Quick Check:

   Invalid scope = wrong subscription/resource ID [OK]

Hint: Check scope is valid subscription or resource group ID [OK]

Common Mistakes:

• Ignoring scope format and using wrong IDs
• Blaming name length for scope errors
• Not updating Azure CLI before retrying

5. A company has fluctuating app service usage but wants to save costs with Azure Savings Plans. Which strategy best fits their needs?

hard

A. Avoid savings plans and pay pay-as-you-go only

B. Commit to the highest possible usage to cover all peaks

C. Commit to a savings plan based on their average steady usage to maximize savings

D. Create multiple savings plans for each app service separately

Solution

1. Step 1: Understand Savings Plans suit steady predictable usage

   Savings Plans work best when usage is steady; fluctuating usage means committing to average steady usage is optimal.

2. Step 2: Evaluate options for cost efficiency

   Commit to the highest possible usage to cover all peaks wastes money by committing to peak usage; C misses savings; D complicates management without extra benefit.

3. Final Answer:

   Commit to a savings plan based on their average steady usage to maximize savings -> Option C

4. Quick Check:

   Average steady usage commitment = best savings [OK]

Hint: Commit to average steady usage, not peaks, for best savings [OK]

Common Mistakes:

• Committing to peak usage wastes money
• Avoiding savings plans due to usage fluctuation
• Creating many small savings plans unnecessarily