Kubernetes-based, scale-to-zero, request-driven compute
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Updated
Jun 4, 2024 - Go
Kubernetes-based, scale-to-zero, request-driven compute
OpenSearch Kubernetes Operator
Escalator is a batch or job optimized horizontal autoscaler for Kubernetes
Horizontal Pod Autoscaler built with predictive abilities using statistical models
Custom Pod Autoscaler program and base images, allows creation of Custom Pod Autoscalers
Dynamically scale kubernetes resources using the length of an AMQP queue (number of messages available for retrieval from the queue) to determine the load
Kubernetes operator that prescales cluster nodes to ensure a cronjobs start exactly on time
A Kubernetes controller for automatically optimizing pod requests based on their continuous usage. VPA alternative that can work with HPA.
Operator for managing Kubernetes Custom Pod Autoscalers (CPA).
Lightweight ML model proxy and autoscaler for kubernetes
Horizontal Pod Autoscaler, modified to work as a Custom Pod Autoscaler
🌊 Horizontal service autoscaler for Docker Swarm mode
Garm external provider for EC2
Autoscale Anything Anywhere All at once! 👀
Equinix Metal external provider for GARM
GARM external provider for OCI
Nomad Autoscaler APM Plugin for AWS Cloudwatch
The agent to scale your server fleet automatically depending on the actual load it sustains.
Add a description, image, and links to the autoscaler topic page so that developers can more easily learn about it.
To associate your repository with the autoscaler topic, visit your repo's landing page and select "manage topics."