This tutorial aims to provide an understanding of how to leverage Reserved and Spot Instances in cloud computing for cost optimization.
By the end of this tutorial, you should be able to understand what Reserved and Spot Instances are, how they work, and how to use them to save costs in cloud computing.
Reserved Instances are a billing concept where you reserve a virtual machine on a per-hour basis and get significant discounts compared to the on-demand pricing. They are best for predictable workloads.
Spot Instances are spare cloud computing instances that can be used at steep discounts compared to on-demand pricing. They are best for flexible start and end times, or workloads that are only feasible at very low compute prices.
We will use AWS as our cloud service provider for the examples.
# This is a simple AWS CLI command to launch a reserved instance
aws ec2 run-instances --image-id ami-0abcdef1234567890 --count 1 --instance-type m4.large --key-name MyKeyPair --security-group-ids sg-903004f8 --subnet-id subnet-6e7f829e
This command launches a m4.large
instance in the specified subnet with the specified security group.
# This is a simple AWS CLI command to request a spot instance
aws ec2 request-spot-instances --spot-price "0.05" --instance-count 1 --type "one-time" --launch-specification file://my-spot-instance.json
This command requests one spot instance at a maximum price of $0.05 per hour. The instance specification is provided in the my-spot-instance.json
file.
In this tutorial, we have learned about Reserved and Spot Instances in cloud computing and how to leverage them for cost savings. We've also seen how to launch these instances using AWS CLI.
Compare the pricing of on-demand instances and reserved instances on AWS.
Practice launching a reserved instance and a spot instance on AWS.