Spot Instances for cost savings in AWS - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is an AWS Spot Instance?

An AWS Spot Instance is a type of virtual server that uses spare AWS capacity at a lower price. It can be interrupted by AWS when the capacity is needed elsewhere.

beginner

Why are Spot Instances cheaper than On-Demand Instances?

Spot Instances are cheaper because they use unused AWS capacity that can be taken back anytime. This makes them less reliable but much more cost-effective.

intermediate

What happens when AWS reclaims a Spot Instance?

AWS sends a two-minute warning before interrupting the Spot Instance. The instance is then terminated or stopped, so workloads must handle interruptions gracefully.

intermediate

Name one best practice when using Spot Instances for cost savings.

Use Spot Instances for flexible, fault-tolerant workloads like batch jobs or stateless applications that can handle interruptions.

advanced

How can you protect critical workloads when using Spot Instances?

Combine Spot Instances with On-Demand or Reserved Instances to ensure availability and use Spot for cost savings on flexible parts of your workload.

What is the main reason Spot Instances are cheaper than On-Demand Instances?

A They run slower

B They have better hardware

C They use spare AWS capacity that can be reclaimed

D They come with longer contracts

Spot Instances use spare AWS capacity that can be taken back, which lowers their price.

How much warning time does AWS provide before reclaiming a Spot Instance?

A 2 minutes

B 30 seconds

C 10 minutes

D No warning

AWS provides a two-minute warning before interrupting a Spot Instance.

Which workload is best suited for Spot Instances?

A Stateless batch processing jobs

B Critical database servers

C Real-time financial transactions

D Long-term storage

Stateless batch jobs can handle interruptions and are ideal for Spot Instances.

What should you do to ensure availability when using Spot Instances?

A Use only Spot Instances

B Avoid using Spot Instances

C Use Spot Instances for all workloads

D Mix Spot with On-Demand or Reserved Instances

Mixing Spot with On-Demand or Reserved Instances helps maintain availability.

What is a key risk of using Spot Instances?

A Higher cost

B Instances can be interrupted anytime

C Limited geographic regions

D No access to AWS support

Spot Instances can be interrupted by AWS when capacity is needed elsewhere.

Explain how Spot Instances help reduce cloud costs and what trade-offs they involve.

Think about why AWS offers these instances cheaper and what you must plan for.

Describe a strategy to use Spot Instances safely in a production environment.

Consider how to balance cost savings with reliability.

Practice

1. What is the main benefit of using Spot Instances in AWS?

easy

A. They offer unlimited storage space for your data.

B. They guarantee 24/7 uptime without interruptions.

C. They automatically scale your application based on traffic.

D. They provide significant cost savings by using spare capacity.

Solution

1. Step 1: Understand Spot Instances purpose

   Spot Instances use spare AWS capacity and are cheaper but can be interrupted.

2. Step 2: Compare options

   Only They provide significant cost savings by using spare capacity. mentions cost savings from spare capacity, others describe unrelated features.

3. Final Answer:

   They provide significant cost savings by using spare capacity. -> Option D

4. Quick Check:

   Spot Instances = Cost savings [OK]

Hint: Spot Instances save money by using spare capacity [OK]

Common Mistakes:

• Thinking Spot Instances guarantee uptime
• Confusing Spot Instances with auto-scaling
• Assuming Spot Instances provide extra storage

2. Which of the following is the correct way to request a Spot Instance using AWS CLI?

easy

A. aws ec2 request-spot-instances --spot-price 0.05 --instance-count 1 --type t3.micro

B. aws ec2 create-spot-instance --price 0.05 --count 1 --instance-type t3.micro

C. aws ec2 spot-instance-request --max-price 0.05 --count 1 --instance t3.micro

D. aws ec2 launch-spot-instance --price 0.05 --number 1 --type t3.micro

Solution

1. Step 1: Identify correct AWS CLI command

   The correct command is aws ec2 request-spot-instances with parameters like --spot-price, --instance-count, and --type.

2. Step 2: Check options for syntax correctness

   Only aws ec2 request-spot-instances --spot-price 0.05 --instance-count 1 --type t3.micro uses the correct command and parameter names as per AWS CLI documentation.

3. Final Answer:

   aws ec2 request-spot-instances --spot-price 0.05 --instance-count 1 --type t3.micro -> Option A

4. Quick Check:

   Correct CLI syntax = aws ec2 request-spot-instances --spot-price 0.05 --instance-count 1 --type t3.micro [OK]

Hint: Use 'aws ec2 request-spot-instances' with correct flags [OK]

Common Mistakes:

• Using wrong command names like create-spot-instance
• Incorrect parameter names like --price instead of --spot-price
• Mixing instance count and type flags

3. Consider this AWS CLI command output snippet after requesting Spot Instances:

{
  "SpotInstanceRequests": [
    {
      "SpotInstanceRequestId": "sir-12345",
      "State": "active",
      "Status": {"Code": "fulfilled", "Message": "Your Spot request is fulfilled."},
      "InstanceId": "i-67890"
    }
  ]
}

What does this output indicate?

medium

A. The Spot Instance request is active and the instance is running.

B. The Spot Instance request was denied due to price limits.

C. The Spot Instance request is pending and waiting for capacity.

D. The Spot Instance request was cancelled by the user.

Solution

1. Step 1: Analyze the 'State' and 'Status' fields

   The state is "active" and status code is "fulfilled", meaning the request succeeded and instance launched.

2. Step 2: Interpret the meaning of 'InstanceId'

   The presence of an InstanceId means the Spot Instance is running.

3. Final Answer:

   The Spot Instance request is active and the instance is running. -> Option A

4. Quick Check:

   State active + fulfilled = running instance [OK]

Hint: Active state and fulfilled status mean instance is running [OK]

Common Mistakes:

• Confusing 'active' with 'pending'
• Ignoring the 'fulfilled' status message
• Assuming InstanceId is missing means failure

4. You wrote this JSON snippet to request a Spot Instance but it fails:

{
  "InstanceCount": 1,
  "Type": "one-time",
  "LaunchSpecification": {
    "InstanceType": "t3.micro",
    "ImageId": "ami-0abcdef1234567890"
  }
}

What is the likely error causing the failure?

medium

A. Wrong Type value; should be "persistent" only.

B. Missing the SpotPrice field to set max price.

C. Incorrect InstanceCount value; must be zero.

D. Invalid ImageId format; must be numeric only.

Solution

1. Step 1: Check required fields for Spot Instance request

   Spot requests require a SpotPrice to specify max price willing to pay.

2. Step 2: Validate other fields

   InstanceCount of 1 is valid, Type can be "one-time", and ImageId format is correct.

3. Final Answer:

   Missing the SpotPrice field to set max price. -> Option B

4. Quick Check:

   SpotPrice required for request [OK]

Hint: SpotPrice is mandatory in Spot Instance requests [OK]

Common Mistakes:

• Omitting SpotPrice field
• Using invalid Type values
• Misunderstanding ImageId format

5. You want to run a batch job on AWS using Spot Instances to save costs. The job can be interrupted and resumed later. Which strategy best balances cost savings and job completion?

hard

A. Use Reserved Instances for guaranteed availability.

B. Request On-Demand Instances only to avoid interruptions.

C. Request Spot Instances with a low max price and use checkpointing to save progress.

D. Request Spot Instances with the highest max price to avoid interruptions.

Solution

1. Step 1: Understand workload tolerance

   The batch job can handle interruptions and resume, so Spot Instances are suitable.

2. Step 2: Choose cost-effective and reliable approach

   Setting a low max price saves money but risks interruptions; checkpointing allows resuming work safely.

3. Step 3: Evaluate other options

   On-Demand and Reserved Instances cost more and don't leverage Spot savings; highest max price reduces savings.

4. Final Answer:

   Request Spot Instances with a low max price and use checkpointing to save progress. -> Option C

5. Quick Check:

   Interruptible job + low price + checkpointing = best cost savings [OK]

Hint: Use low max price + checkpointing for interruptible jobs [OK]

Common Mistakes:

• Choosing On-Demand or Reserved ignoring cost savings
• Setting max price too high losing savings
• Not implementing checkpointing for interruptions