What is the recommended architecture for integrating Splunk with multi cloud infrastructure to keep data egress costs as low as possible
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the recommended architecture for integrating Splunk with multi cloud infrastructure to keep data egress costs as low as possible
2 real searches · 1 real-search pass
Splunk documentation multi cloud data collection architecture filtering aggregation edge processors Ingest Actions Edge Processor data egress costs AWS Azure GCPGoogle ↗
OBSERVEDOther / navigational
Splunk Edge Processor routing filtering data reduction documentation cloud deploymentsGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Splunk documentation multi cloud data collection architecture filtering aggregation edge processors Ingest Actions Edge Processor data egress costs AWS Azure GCP Google ↗
Splunk Edge Processor routing filtering data reduction documentation cloud deployments Google ↗
- Edge Processor Validated Architecture | Splunk Enterprise, Splunk Cloud Platform (last updated 2026-02-12T16:51:34.835Z) · help.splunk.com
- Filter and mask data using an Edge Processor | Splunk Cloud Platform (last updated 2026-06-16T02:24:55.398Z) · help.splunk.com
- About the Edge Processor solution | Splunk Cloud Platform (last updated 2026-10-03T00:08:12.721Z) · help.splunk.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Splunk documentation multi cloud data collection architecture filtering aggregation edge processors Ingest Actions Edge Processor data egress costs AWS Azure GCP OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Splunk Edge Processor routing filtering data reduction documentation cloud deployments OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |