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kevintroller
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Nov 9, 2023
Co-authored-by: Kevin Troller <kevinmeinrad.troller@mulesoft.com>
rithishapadmanabh
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Nov 14, 2023
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I would change the organization of this section.
- The title can be CPU based Horizontal Autoscaling to be very specific about the feature we have.
- The description of HPA is really the same for both CH2 and RTF. So I would move that to above the table, and in the table/as bullets just link out to specifically CH2 and RTF sections
- Horizontal autoscaling makes Mule applications deployed to CloudHub 2.0 and RTF responsive to CPU usage by automatically scaling up or down replica capacity as needed. In Kubernetes, a Horizontal Pod Autoscaler (HPA) automatically updates a workload resource to automatically match demand.
| |=== | ||
| |Deployment Option | Implementation | More Information | ||
| |CloudHub 2.0 | Horizontal autoscaling makes Mule applications deployed to CHloudHub 2.0 responsive to resource usage by automatically scaling up or down replica capacity as needed. In Kubernetes, a Horizontal Pod Autoscaler (HPA) automatically updates a workload resource to automatically match demand. | xref:cloudhub-2::ch2-configure-horizontal-autoscaling.adoc[] | ||
| |Runtime Fabric | Runtime Fabric instances support horizontal autoscaling Mule application deployments by initiating additional replicas in response to the signals configured. In Kubernetes, a Horizontal Pod Autoscaler (HPA) automatically updates a workload resource to automatically match demand. | xref:runtime-fabric::configure-horizontal-autoscaling.adoc[] |
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Slightly misleading - customers may perceive that they can configure signals. But reality is Mulesoft configures signals (70% etc) out of the box so it is not controllable by the customer, and the only signal we support is CPU, so customers cannot configure type of signal either.
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I'd change to in response to CPU usage the application
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I added the same text for both CH2 and RTF, but maintained in separate rows, to respect the structure of the page.
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