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This repository has been archived by the owner on Mar 31, 2023. It is now read-only.
The K8s HPA automatically scales the number of Pods in a replication controller, deployment, replica set or stateful set based on observed CPU utilization (or, with custom metrics support, on some other application-provided metrics). This naturally fits into Alcor's performance requirement to scale up the number of replicas for each Microservice when the load increases.
Detailed Requirements
Define HorizontalPodAutoscaler including target metrics (like CPU)
Tune scaling policies including ScaleDown and ScaleUp policies (like periodSecond, selectPolicy and stabilizationWindowSeconds etc.). Make recommended default behavior for each Microservice.
Stress testing a few key Microservices (PM for example) to trigger scale up and down policies.
Feature Requirements
The K8s HPA automatically scales the number of Pods in a replication controller, deployment, replica set or stateful set based on observed CPU utilization (or, with custom metrics support, on some other application-provided metrics). This naturally fits into Alcor's performance requirement to scale up the number of replicas for each Microservice when the load increases.
Detailed Requirements
Reference
K8s HPA: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/
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