All 7 AWS Batch questions
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What is AWS Batch and what type of workloads is it designed for? What are job queues and job definitions in AWS Batch? What are compute environments in AWS Batch, and how do managed and unmanaged compute environments differ? How does AWS Batch support defining dependencies between jobs to build multi step processing pipelines? How does AWS Batch multi node parallel jobs support tightly coupled high performance computing workloads? How can AWS Batch be integrated with Step Functions or EventBridge to build complex, automated data processing workflows?
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How does AWS Batch support using Spot Instances to reduce compute costs for batch workloads?

Intermediate

Answer

AWS Batch can be configured to use Spot Instances within a managed compute environment, taking advantage of significantly discounted spare EC2 capacity for workloads that can tolerate interruption, and AWS Batch automatically handles the process of retrying a job on different capacity if the Spot Instance running it is reclaimed, making it an excellent low cost option for fault tolerant batch processing jobs.
aws batch create-compute-environment --compute-environment-name spot-env --type MANAGED --compute-resources '{"type":"SPOT","bidPercentage":50,"maxvCpus":100}'
Real-world example A media rendering company runs its overnight video rendering jobs using AWS Batch with a Spot Instance compute environment, cutting compute costs by more than half compared to using regular On Demand instances for the same workload.

Common follow-ups: What happens to a job if its Spot Instance is interrupted mid execution?;How do you decide on an appropriate bid percentage for Spot Instances in Batch?

AWS Cost Management & Billing;EC2 & Compute
All 7 AWS Batch questions