Add new Elastic Forecast scaler#1710
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Signed-off-by: Rick Brouwer <[email protected]>
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Added experimental notice and updated title for Elastic Forecast scaler. Signed-off-by: Rick Brouwer <[email protected]>
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Attention! I have switched the scaler to Experimental! I am doing this to get feedback and to see if it is actually being used. We are going to use it initially (logically), but I want to get feedback on that from users as well. I am going to collect that myself. But I am also very curious whether "others" are going to use it. With this feedback, we can determine the future for a scaler like this. If it would be better not to do that (make it experimental), feel free to let me know, and I'll drop the commit. |
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Pull request overview
Adds documentation for the new Elastic Forecast (Experimental) scaler in the KEDA v2.20 docs, describing how to configure the elastic-forecast trigger and how the scaler manages Elastic ML forecasts over time.
Changes:
- Introduces a new scaler documentation page for
elastic-forecast, including trigger metadata, authentication options, and prerequisites. - Documents forecast lifecycle behavior (creation, renewal, expiry) and multi-metric filtering via
byFieldValue/partitionFieldValue. - Adds example ScaledObject / TriggerAuthentication manifests for self-hosted Elastic and Elastic Cloud.
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Docs for kedacore/keda#7496
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