On-Demand Instances vs Dedicated Hosts
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 meets developers should use dedicated hosts when they need to meet strict compliance or licensing requirements, such as for software that requires per-socket or per-core licensing models, or when running applications that demand high levels of security and isolation from other tenants. Here's our take.
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
On-Demand Instances
Nice PickDevelopers 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
Dedicated Hosts
Developers should use Dedicated Hosts when they need to meet strict compliance or licensing requirements, such as for software that requires per-socket or per-core licensing models, or when running applications that demand high levels of security and isolation from other tenants
Pros
- +It is also useful for workloads with specific hardware dependencies, like certain legacy applications or performance-sensitive tasks that benefit from dedicated resources without the overhead of virtualization
- +Related to: aws-ec2, azure-dedicated-hosts
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use On-Demand Instances if: You want 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 and can live with specific tradeoffs depend on your use case.
Use Dedicated Hosts if: You prioritize it is also useful for workloads with specific hardware dependencies, like certain legacy applications or performance-sensitive tasks that benefit from dedicated resources without the overhead of virtualization over what On-Demand Instances offers.
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
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