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Microcks's high performance makes it deal for both functional and performance testing. However fixed scaling for the core microcks Deployment makes it hard to scale the microcks layer up and down for performance testing.
Description
Supporting auto-scaling of the microcks Deployment , via standard k8s auto-scaling constructs.
Implementation ideas
Include a HorizontalPodAutoscaler in the k8s resources managed from the Microcks CR.
Or make the Microcks CR implement the scalesub-resource, allowing e.g. HPA or KEDA to control auto-scaling.
The text was updated successfully, but these errors were encountered:
I'm sorry for the long delay in our answer on this issue.
This topic is essential for Microcks adopters running it at scale and with advanced GitOps expertise and practices.
So, we are working on a new operator to manage all Microcks configurations using customer resources for advanced community users.
This issue has been automatically marked as stale because it has not had recent activity 😴
It will be closed in 30 days if no further activity occurs. To unstale this issue, add a comment with a detailed explanation.
There can be many reasons why some specific issue has no activity. The most probable cause is lack of time, not lack of interest. Microcks is a Cloud Native Computing Foundation project not owned by a single for-profit company. It is a community-driven initiative ruled under open governance model.
Let us figure out together how to push this issue forward. Connect with us through one of many communication channels we established here.
Reason/Context
Microcks's high performance makes it deal for both functional and performance testing. However fixed scaling for the core
microcks
Deployment makes it hard to scale the microcks layer up and down for performance testing.Description
Supporting auto-scaling of the microcks Deployment , via standard k8s auto-scaling constructs.
Implementation ideas
Include a
HorizontalPodAutoscaler
in the k8s resources managed from theMicrocks
CR.Or make the
Microcks
CR implement thescale
sub-resource, allowing e.g. HPA or KEDA to control auto-scaling.The text was updated successfully, but these errors were encountered: