Proceeding of the Faculty of technical Sciences, Novi Sad

Electrotechnical and Computer Engineering

Vol. 39 No. 09 (2024): Proceedings of Faculty of Technical Sciences

HORIZONTAL SCALING K8S PODS USING KEDA AUTOSCALER

  • Marko Stanić
DOI:
https://doi.org/10.24867/28BE46Stanic
Submitted
September 6, 2024
Published
2024-09-06

Abstract

The paper presents the implementation of a con­figuration management software for K8s pods and auto­scaling based on number of messages in SQS. It is described how to use KEDA autoscaler with K8s container orchestrator and Python library for cloud and K8s resource management.

References

[1] IBM Data Science - Best Practices https://ibm.github.io/data-science-best-practices/scaling.html
[2] Kubernetes https://kubernetes.io/
[3] KEDA https://keda.sh/
[4] SQS https://aws.amazon.com/sqs/
[5] Minikube https://minikube.sigs.k8s.io/docs/start/
[6] ElasticMQ https://github.com/softwaremill/elasticmq
[7] Helm https://helm.sh/