What if you could cut your cloud bill by almost half just by planning ahead?
Why Reserved Instances and Savings Plans in AWS? - Purpose & Use Cases
Imagine you run a small online store and manually pay for each server hour as your website grows. You watch your bills climb unpredictably every month, making it hard to plan your budget.
Paying for cloud servers hour-by-hour means costs can spike unexpectedly. You waste money because you can't lock in lower prices, and tracking usage manually is confusing and error-prone.
Reserved Instances and Savings Plans let you commit to using cloud resources for a set time at a lower price. This means you save money and get predictable bills without constantly watching usage.
Pay $0.10 per hour for each server, every hour, no discounts
Commit to 1 year, pay $0.06 per hour, save up to 40%
You can confidently plan your cloud costs and save money by committing to usage ahead of time.
A startup commits to a 3-year Savings Plan for their web servers, cutting their monthly cloud bill by half while focusing on growing their app.
Manual pay-as-you-go can lead to unpredictable and high costs.
Reserved Instances and Savings Plans offer discounted, predictable pricing.
They help you save money and plan your cloud budget better.
Practice
Solution
Step 1: Understand the purpose of Reserved Instances and Savings Plans
Both are pricing models that offer discounts in exchange for a commitment to use AWS resources for a period.Step 2: Identify the main benefit
The main benefit is cost savings by committing to usage, not performance or support features.Final Answer:
They reduce cloud costs by committing to usage over time -> Option CQuick Check:
Cost savings = C [OK]
- Thinking Reserved Instances improve instance speed
- Confusing cost savings with free support
- Assuming automatic scaling is included
Solution
Step 1: Recall Savings Plan characteristics
Savings Plans offer flexible discounts that apply to compute usage regardless of instance type or region.Step 2: Match the correct description
A flexible pricing model that applies to compute usage regardless of instance type correctly describes Savings Plans as flexible pricing models, unlike Reserved Instances which are specific.Final Answer:
A flexible pricing model that applies to compute usage regardless of instance type -> Option AQuick Check:
Savings Plans = Flexible pricing = A [OK]
- Confusing Savings Plans with Reserved Instances
- Thinking Savings Plans are one-time payments
- Assuming Savings Plans are free trials
Solution
Step 1: Understand Reserved Instance scope
Standard Reserved Instances apply to specific instance types and regions. m5.large is different from m5.xlarge.Step 2: Check discount application
The discount partially applies because m5.xlarge is double the size of m5.large; the RI covers the equivalent of one m5.large unit.Final Answer:
The discount applies partially, covering the m5.large portion of the m5.xlarge -> Option AQuick Check:
RI discount partial for larger instance = D [OK]
- Assuming full discount on different instance sizes
- Thinking discount applies across regions
- Believing discount applies to any instance type
Solution
Step 1: Understand Savings Plan coverage
Compute Savings Plans apply discounts to supported compute services like EC2, Fargate, and Lambda.Step 2: Identify billing mismatch cause
If instances run on unsupported services or outside the plan scope, discounts won't apply, causing billing to be higher than expected.Final Answer:
You purchased a Compute Savings Plan but launched instances outside supported services -> Option BQuick Check:
Discounts apply only to supported services = A [OK]
- Confusing Reserved Instances with Savings Plans
- Assuming multi-region must be enabled always
- Ignoring service eligibility for discounts
Solution
Step 1: Analyze workload and flexibility needs
The workload is steady and predictable, so committing to usage saves money. Flexibility to change instance types is important.Step 2: Compare options
Standard RIs are less flexible; Convertible RIs allow changes but require longer commitment. Compute Savings Plans offer flexibility across instance types and families with 1-year commitment.Step 3: Choose best option
Compute Savings Plan balances cost savings and flexibility best for this scenario.Final Answer:
Purchase a 1-year Compute Savings Plan covering the equivalent usage -> Option DQuick Check:
Flexibility + cost savings = Compute Savings Plan = B [OK]
- Choosing Standard RIs despite flexibility needs
- Ignoring commitment length impact
- Assuming On-Demand is cheapest for steady workloads
Ready to prove it?
Pass the test and this pattern moves unknown
