custom-pod-autoscaler

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

AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.

Autoscaling volumes for Kubernetes (with the help of Prometheus)

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

An open cloud native capacity solution which helps you achieve ultimate resource utilization in an intelligent and risk-free way.

GitHub Actions Runner Manager

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

Solution Accelerators for Serverless Spark on GCP, the industry's first auto-scaling and serverless Spark as a service

Extensible generative AI platform on Kubernetes with OpenAI-compatible APIs.

Wave Autoscale (Open Source Version) - Deprecated. We have transitioned to a AI-powered version of Wave Autoscale.