Kubernetes-based, scale-to-zero, request-driven compute
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Updated
May 31, 2024 - Go
Kubernetes-based, scale-to-zero, request-driven compute
OpenSearch Kubernetes Operator
Escalator is a batch or job optimized horizontal autoscaler for Kubernetes
HireFire integration library for Ruby applications
Terraform module to provision DynamoDB autoscaler
Workshop for Kubernetes/AKS scalability options: HPA, Cluster Autoscaler and Virtual Node
Horizontal Pod Autoscaler built with predictive abilities using statistical models
Kubernetes pod autoscaler based on queue size in AWS SQS
Autoscale Docker Swarm services based on cpu utilization.
Custom Pod Autoscaler program and base images, allows creation of Custom Pod Autoscalers
Terraform module to autoscale ECS Service based on CloudWatch metrics
Dynamically scale kubernetes resources using the length of an AMQP queue (number of messages available for retrieval from the queue) to determine the load
Autoscaling Azure SQL Database Hyperscale with Azure Functions
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 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.
Dynamically scale kubernetes resources using length of an AMQP queue
[Poor man's Horizontal] Kubernetes Pod Autoscaler with InfluxDB and Graphite as metric source
Operator for managing Kubernetes Custom Pod Autoscalers (CPA).
PM2 module to help dynamically scale applications based on utilization demand.
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."