Kubernetes Autoscaling with Custom Metrics

Apr 17, 2018 · Barcelona, Spain

Autoscaling of services in Kubernetes helps reducing the operation management of the cluster and reduce hardware costs. Until recently autoscaling of deployments was restricted using CPU and memory metrics but now we have the ability to define also custom metrics that drive the autoscaling. We'll use Prometheus as a backend for autoscaling and do a demo to see how it works.

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  • Docker Barcelona

    Learn, Collaborate & Dockerize! Meet other developers and ops engineers in your community that are using and learning about Docker. Docker is an open platform that helps you build, ship and run applications anytime and anywhere. Developers use Docker to modify code and to streamline application development, while operations gain support to quickly and flexibly respond to their changing needs. Docker ensures agility, portability and control for all your distributed apps.  Docker is also ...

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