GCP Vertex AI Vector Search Endpoint Idle
A deployed index endpoint holds its machine allocation and bills for it whether or not a query arrives.
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Google Cloud
Found, explained, handed over.
Findings with a dollar figure attached, idle, oversized, orphaned, unscheduled and undiscounted spend.
Detect
ZopNight checks this automatically across Google Cloud, with read-only access to the account.
Explain
Every finding says exactly what to change: Undeploy the idle Vertex AI index endpoint. 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
- Vertex AI Vector Search Index Endpoints on Google Cloud
- The fix, by hand
- Confirm no application queries this endpoint.
- Undeploy the index from the endpoint to stop node charges.
These are the steps the finding carries in the product.
- Category
- Idle resources. Resources running but doing no useful work: zero invocations, no connections, no traffic.
- Where it appears
- The Savings tab of Recommendations, with every affected resource listed.
- Rule ID
RC-1217- Full reference
Related checks
See the idle 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.