Skip to content

fixing a wrong call out to "search boost window" #307

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 2 commits into from
Closed

fixing a wrong call out to "search boost window" #307

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a65225e
fixing a wrong call out to "search boost window"
Kushmaro Feb 4, 2025
4699efe
Merge branch 'main' into Kushmaro-docs-patch-1
Kushmaro Feb 4, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion serverless/pages/pricing.asciidoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ You can control costs using the following strategies:
* **Search Power setting:** <<elasticsearch-manage-project-search-power-settings,Search Power>> controls the speed of searches against your data. With Search Power, you can
improve search performance by adding more resources for querying, or you can reduce provisioned
resources to cut costs.
* **Time series data retention:** By limiting the number of days of <<elasticsearch-ingest-time-series-data,time series data>> that are available for caching,
* **Search Boost window:** By limiting the number of days of <<elasticsearch-ingest-time-series-data,time series data>> that are available for caching,
you can reduce the number of search VCUs required.
* **Machine learning trained model autoscaling:** Configure your trained model deployment to allow it to scale down to zero allocations when there are no active inference requests:
** When starting or updating a trained model deployment, <<enabling-autoscaling-in-kibana-adaptive-resources,Enable adaptive resources>> and set the VCU usage level to *Low*.
Expand Down
Loading