There are 3 repositories under autoscaler topic.
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.
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).
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.
A horizontal autoscaler for Kubernetes workloads
Dynamically scale kubernetes resources using length of an AMQP queue
Automatically scale the LXC containers resources on Proxmox hosts with AI
Terraform module to provision DynamoDB autoscaler
Kafka Consumer Operator. Kubernetes operator to manage consumers of unbalanced kafka topics with per-partition vertical autoscaling based on Prometheus metrics
Autoscale Anything Anywhere All at once! :eyes:
Horizontal Pod Autoscaler, modified to work as a Custom Pod Autoscaler
Simple and efficient autoscalling solution for K8S
Autoscaling Azure SQL Database Hyperscale with Azure Functions
WIP - Scaling Spark Data Platform with EKS. The solution uses Karpenter and Cluster Autoscaler, Yunikorn for advanced scheduling.
DiViM-S (or divims) is an opensource orchestrator and autoscaler for BigBlueButton pools behind a Scalelite server
[Poor man's Horizontal] Kubernetes Pod Autoscaler with InfluxDB and Graphite as metric source
Terraform plan for creating an HA, autoscaled multi-node RKE2 cluster on VMware vSphere
Autoscaler for DC/OS hosted in a cloud provider
Workshop for Kubernetes/AKS scalability options: HPA, Cluster Autoscaler and Virtual Node