Reserved Instances vs On-Demand 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 on-demand instances for short-term, unpredictable, or experimental workloads where flexibility is key, such as development and testing environments, proof-of-concept projects, or applications with sporadic traffic spikes. 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
On-Demand Instances
Developers should use On-Demand Instances for short-term, unpredictable, or experimental workloads where flexibility is key, such as development and testing environments, proof-of-concept projects, or applications with sporadic traffic spikes
Pros
- +They are cost-effective for scenarios where usage cannot be predicted in advance, avoiding the risks of over-provisioning or under-utilization associated with reserved instances
- +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 On-Demand Instances if: You prioritize they are cost-effective for scenarios where usage cannot be predicted in advance, avoiding the risks of over-provisioning or under-utilization associated with reserved instances 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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