Reserved Instances vs Spot Instances
Developers and organizations should use Reserved Instances when they have predictable, long-running workloads such as production servers, databases, or batch processing jobs that require consistent compute capacity meets developers should use spot instances to drastically reduce cloud computing costs for workloads that can handle interruptions, such as big data analytics, ci/cd pipelines, or rendering jobs. Here's our take.
Reserved Instances
Developers and organizations should use Reserved Instances when they have predictable, long-running workloads such as production servers, databases, or batch processing jobs that require consistent compute capacity
Reserved Instances
Nice PickDevelopers and organizations should use Reserved Instances when they have predictable, long-running workloads such as production servers, databases, or batch processing jobs that require consistent compute capacity
Pros
- +They are ideal for reducing cloud costs in scenarios where usage patterns are stable, as they offer savings of up to 75% compared to on-demand pricing
- +Related to: aws-ec2, azure-virtual-machines
Cons
- -Specific tradeoffs depend on your use case
Spot Instances
Developers should use Spot Instances to drastically reduce cloud computing costs for workloads that can handle interruptions, such as big data analytics, CI/CD pipelines, or rendering jobs
Pros
- +They are particularly valuable in scalable architectures where tasks can be distributed and restarted without significant impact, making them a key component in cost-optimized cloud strategies for startups and enterprises alike
- +Related to: aws-ec2, azure-virtual-machines
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Reserved Instances if: You want they are ideal for reducing cloud costs in scenarios where usage patterns are stable, as they offer savings of up to 75% compared to on-demand pricing and can live with specific tradeoffs depend on your use case.
Use Spot Instances if: You prioritize they are particularly valuable in scalable architectures where tasks can be distributed and restarted without significant impact, making them a key component in cost-optimized cloud strategies for startups and enterprises alike over what Reserved Instances offers.
Developers and organizations should use Reserved Instances when they have predictable, long-running workloads such as production servers, databases, or batch processing jobs that require consistent compute capacity
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