#Autoscaler
Showing 11 of 11 repositories tagged #autoscaler, ranked by stars
Kubernetes-based, scale-to-zero, request-driven compute
Ultrafast serverless GPU inference, sandboxes, and background jobs
AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
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
Another Autoscaler is a Kubernetes controller that automatically starts, stops, or restarts pods from a deployment at a specified time using a cron expression.
Kubernetes pod autoscaler based on queue size in AWS SQS
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