[jira] [Commented] (COMDEV-341) Apache RocketMQ Scaler for KEDA

["hien nguyen (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/COMDEV-341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17070504#comment-17070504 ] 

hien nguyen commented on COMDEV-341:
------------------------------------

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
> [wlliqipeng@apache.org|mailto:wlliqipeng@apache.org], [vongosling@apache.org|mailto:vongosling@apache.org]
>  



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