autoscaling

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Escalator is a batch or job optimized horizontal autoscaler for Kubernetes

General purpose metrics adapter for Kubernetes HPA metrics

Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling

Add-on for KEDA to scale HTTP workloads

Horizontal Pod Autoscaler built with predictive abilities using statistical models

Autoscaling Spring Boot with the Horizontal Pod Autoscaler and custom metrics on Kubernetes

Important production-grade Kubernetes Ops Services

Terraform module to create AWS Auto Scaling resources 🇺🇦

Custom Pod Autoscaler program and base images, allows creation of Custom Pod Autoscalers

Autoscaling volumes for Kubernetes (with the help of Prometheus)

Automatically scale virtual machines resources on Proxmox hosts

Custom controller that extends the Horizontal Pod Autoscaler

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

A .NET implementation of RTMP live streaming server, supporting HTTP-FLV, WebSocket-FLV, HLS, Kubernetes, cloud storage services integration and more.

Automatically scale LXC containers resources on Proxmox hosts

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