[
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
> [wlliqip...@apache.org|mailto:wlliqip...@apache.org],
> [vongosl...@apache.org|mailto:vongosl...@apache.org]
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscr...@community.apache.org
For additional commands, e-mail: dev-h...@community.apache.org
