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Prometheus is a defacto standard for monitoring in kubernetes. Prometheus metrics are consumed by multiple addons in Kubernetes for monitoring, alerting, autoscaling etc., This talk will walkthrough how the prometheus metrics can be used for real time prediction so the application pods can be scaled horizontally or vertically. Getting the right sizing of pods is an important task especially when running kubernetes in cloud environments so we can optimise the cost. This talk will walk through the framework used for predicting the right sizing of the pods based on prometheus metric and how we can leverage a custom pod-autoscaler to scale the pods dynamically.
Ravi Hari is a Principal Software Engineer at Intuit. He works on Infrastructure and Observability for Kubernetes at Intuit. He is a maintainer of ArgoProj.
