autoscaler

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

Automatically scale LXC containers resources on Proxmox hosts

A Kubernetes controller for automatically optimizing pod requests based on their continuous usage. VPA alternative that can work with HPA.

Autoscale Docker Swarm services based on cpu utilization.

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

Operator for managing Kubernetes Custom Pod Autoscalers (CPA).

A metrics-based autoscaler for Fly.io

Kubernetes operator that prescales cluster nodes to ensure a cronjobs start exactly on time

HireFire integration library for Ruby applications

Terraform module to autoscale ECS Service based on CloudWatch metrics

PM2 module to help dynamically scale applications based on utilization demand.