Cluster Workers On-Demand Instead of Spot
Worker nodes can be reclaimed and rescheduled without losing the job, which is why they are the pool Spot pricing is designed for.
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AWSAzureGoogle CloudDatabricks
Found, explained, handed over.
Findings with a dollar figure attached, idle, oversized, orphaned, unscheduled and undiscounted spend.
Detect
ZopNight checks this automatically across AWS, Azure and Google Cloud, with read-only access to the account.
Explain
Every finding says exactly what to change: Move cluster workers to spot instances. 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
- Databricks Cluster on AWS, Databricks Cluster on Azure, Databricks Cluster on Google Cloud
- The fix, by hand on AWS
- Confirm the workload tolerates worker preemption.
- Switch worker availability to spot-with-fallback; keep the driver on-demand.
These are the steps the finding carries in the product.
- Category
- Commitment discounts. Reserved Instance, Savings Plan and Committed Use opportunities, where steady usage justifies a commitment.
- Where it appears
- The Savings tab of Recommendations, with every affected resource listed.
- Rule IDs
RC-2214RC-2314RC-2414- Full reference
Related checks
See the discount opportunities in your account.
Connect a read-only role and the first pass runs on your own estate. This check, and the rest of the catalogue, with it.
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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.