Kubernetes-based, scale-to-zero, request-driven compute
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Updated
May 14, 2024 - Go
Kubernetes-based, scale-to-zero, request-driven compute
Escalator is a batch or job optimized horizontal autoscaler for Kubernetes
OpenSearch Kubernetes Operator
Horizontal Pod Autoscaler built with predictive abilities using statistical models
Custom Pod Autoscaler program and base images, allows creation of Custom Pod Autoscalers
A Kubernetes controller for automatically optimizing pod requests based on their continuous usage. VPA alternative that can work with HPA.
Lightweight ML model proxy and autoscaler for kubernetes
Dynamically scale kubernetes resources using the length of an AMQP queue (number of messages available for retrieval from the queue) to determine the load
Jenkins autoscaler that scales VMs based on executors usage
Kubernetes operator that prescales cluster nodes to ensure a cronjobs start exactly on time
Operator for managing Kubernetes Custom Pod Autoscalers (CPA).
Kafka Consumer Operator. Kubernetes operator to manage consumers of unbalanced kafka topics with per-partition vertical autoscaling based on Prometheus metrics
Horizontal Pod Autoscaler, modified to work as a Custom Pod Autoscaler
Autoscale Anything Anywhere All at once! 👀
Simple and efficient autoscalling solution for K8S
Elastic Cloud Autoscaler based on CPU util or cron schedules
🌊 Horizontal service autoscaler for Docker Swarm mode
Helps Thanos reach scraping targets on CF and beyond
Add a description, image, and links to the autoscaler topic page so that developers can more easily learn about it.
To associate your repository with the autoscaler topic, visit your repo's landing page and select "manage topics."