Kubernetes-based, scale-to-zero, request-driven compute
Escalator is a batch or job optimized horizontal autoscaler for Kubernetes
AI Inference Operator for Kubernetes
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
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
A Kubernetes controller for automatically optimizing pod requests based on their continuous usage. VPA alternative that can work with HPA.
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
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! 👀
Horizontal Pod Autoscaler, modified to work as a Custom Pod Autoscaler
Simple and efficient autoscalling solution for K8S
Elastic Cloud Autoscaler based on CPU util or cron schedules
A horizontal autoscaler for Kubernetes workloads
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