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https://issues.apache.org/jira/browse/COMDEV-341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17070504#comment-17070504
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hien nguyen commented on COMDEV-341:
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Hi,
I would like to take this task for GSoC proposal. I will research more about
KEDA, although never used it before. I have experience with Docker, multiple
replica architectures, Java. I will submit more in details the architecture for
this proposal. Please guide me more about this task. Thank you so much.
> Apache RocketMQ Scaler for KEDA
> -------------------------------
>
> Key: COMDEV-341
> URL: https://issues.apache.org/jira/browse/COMDEV-341
> Project: Community Development
> Issue Type: Wish
> Components: GSoC/Mentoring ideas
> Reporter: duheng
> Priority: Major
> Labels: RocketMQ, gsoc2020
>
> h3. Context
> KEDA allows for fine-grained autoscaling (including to/from zero) for
> event-driven Kubernetes workloads. KEDA serves as a Kubernetes Metrics Server
> and allows users to define autoscaling rules using a dedicated Kubernetes
> custom resource definition. KEDA has a number of “scalers” that can both
> detect if a deployment should be activated or deactivated, and feed custom
> metrics for a specific event source. In this topic, you need to implement the
> RocketMQ scalers.
> h3. You should learn before applying for this topic
> Helm/Apache RocketMQ Operator/Apache RocketMQ Docker Image
> Apache RocketMQ multi-replica mechanism(based on DLedger)
> How KEDA works
> h3. Mentor
> [[email protected]|mailto:[email protected]],
> [[email protected]|mailto:[email protected]]
>
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