SageMaker Batch Transform Job Over-Provisioned
A batch transform job bills for every instance it requests for the whole run, so instances the data volume cannot keep busy are billed idle.
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AWS
Found, explained, handed over.
Findings with a dollar figure attached, idle, oversized, orphaned, unscheduled and undiscounted spend.
Detect
ZopNight checks this automatically across AWS, with read-only access to the account.
Explain
Every finding says exactly what to change: Rightsize the SageMaker batch transform job. Where the saving can be proven it is priced; where it cannot, the finding says so.
Fix
The finding opens with the fix already written out, step by step, so it is one ticket, not an investigation.
- Applies to
- SageMaker Batch Transform Job on AWS
- The fix, by hand
- Review the CloudWatch CPUUtilization/MemoryUtilization for this transform job.
- Set a smaller InstanceType in the CreateTransformJob TransformResources (or the Transformer config).
- Consider reducing InstanceCount or tuning MaxConcurrentTransforms / BatchStrategy if multiple instances were used.
- Re-run the job and confirm utilisation is healthier on the smaller instance.
These are the steps the finding carries in the product.
- Category
- Rightsizing. Resources sized for headroom they never use. A smaller size runs the same workload for less.
- Where it appears
- The Savings tab of Recommendations, with every affected resource listed.
- Rule ID
RC-1614- Full reference
Related checks
See the oversized resources in your account.
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- $30M+annualised cloud spend under management
- 550K+resources tracked since launch
- 20-60%off the bill in the first month
- SOC 2Type II report, plus ISO 27001
Figures published on zop.dev.