Autoscaler

Cross-Platform, Cloud Ready, Microservices


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About Autoscaler

The Autoscaler service provides on-demand scaling of services, allowing you to efficiently dedicate resources where they are needed most in your Kubernetes cluster and minimizing costs and ensuring user satisfaction.

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Elastic Scaling

Easily scale up and down Workers based on key metrics. Allocate resources where they are needed most.

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Extensibility

Pluggable support for monitoring workloads, scaling decisions and scaling commands allows the Autoscaler to be used in many different environments.

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Ready to go

Out of the box support for the Worker Framework, RabbitMQ and Kubernetes makes it easy to start scaling today!

Get Involved

Get involved in the Autoscaler project. Suggest new features, report issues or take part in development.