Major Description
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.
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
Mentor
wlliqipeng@apache.org
, vongosling@apache.org