Observability Lab: Predictive Auto-Scaling for Kubernetes Workloads
A robust, distributed cloud file system simulation featuring proactive ML-based auto-scaling, a secure Spring Boot backend, and a modern React dashboard.
AI-Powered DevOps Platform: ML-driven predictive scaling, anomaly detection, automated incident response, and performance optimization.
Kedastral is an open-source, domain-agnostic predictive autoscaling companion for KEDA, written in Go.
AWS K3s autoscaler reducing costs by 40-50% via Lambda, Prometheus metrics, and intelligent EC2 scaling with spot instances, Multi-AZ support, and predictive scaling.
Add a description, image, and links to the predictive-scaling topic page so that developers can more easily learn about it.
To associate your repository with the predictive-scaling topic, visit your repo's landing page and select "manage topics."