AWS Spot Instances vs Google Cloud Preemptible VMs
Developers should use AWS Spot Instances for cost-sensitive, interruptible workloads such as big data analytics, CI/CD pipelines, or rendering jobs where tasks can be checkpointed and resumed meets developers should use preemptible vms for fault-tolerant, stateless workloads like batch jobs, rendering, scientific simulations, or ci/cd pipelines where interruptions are acceptable. Here's our take.
AWS Spot Instances
Developers should use AWS Spot Instances for cost-sensitive, interruptible workloads such as big data analytics, CI/CD pipelines, or rendering jobs where tasks can be checkpointed and resumed
AWS Spot Instances
Nice PickDevelopers should use AWS Spot Instances for cost-sensitive, interruptible workloads such as big data analytics, CI/CD pipelines, or rendering jobs where tasks can be checkpointed and resumed
Pros
- +They are particularly valuable in scalable architectures like Kubernetes clusters or serverless backends, where instance termination can be managed gracefully without data loss
- +Related to: amazon-ec2, aws-cost-optimization
Cons
- -Specific tradeoffs depend on your use case
Google Cloud Preemptible VMs
Developers should use Preemptible VMs for fault-tolerant, stateless workloads like batch jobs, rendering, scientific simulations, or CI/CD pipelines where interruptions are acceptable
Pros
- +They are cost-effective for large-scale, parallelizable tasks that can checkpoint progress and restart if terminated
- +Related to: google-cloud-platform, compute-engine
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use AWS Spot Instances if: You want they are particularly valuable in scalable architectures like kubernetes clusters or serverless backends, where instance termination can be managed gracefully without data loss and can live with specific tradeoffs depend on your use case.
Use Google Cloud Preemptible VMs if: You prioritize they are cost-effective for large-scale, parallelizable tasks that can checkpoint progress and restart if terminated over what AWS Spot Instances offers.
Developers should use AWS Spot Instances for cost-sensitive, interruptible workloads such as big data analytics, CI/CD pipelines, or rendering jobs where tasks can be checkpointed and resumed
Disagree with our pick? nice@nicepick.dev