Scaling Kubernetes Pods using Prometheus Metrics

This page summarizes the projects mentioned and recommended in the original post on /r/kubernetes
k8s-sig-instrumentation Prometheus prometheus-operator Kubernetes Operator

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  • kube-prometheus

    Use Prometheus to monitor Kubernetes and applications running on Kubernetes

    • It wasn't super clear to me how to get started with the https://github.com/prometheus-operator/kube-prometheus project and add support for custom metrics for HorizontalPodAutoscalers to use. So I wrote how-to once I got it wired up. Hopefully, this helps someone else out! I hadn't used APIService objects before, so learning that made metrics-server click.

  • metrics-server

    Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.

    • Could you expand on why CPU usage was not enough for your use case. How do you compare both approaches? It would be great to understand what could be improved on Metrics Server side https://github.com/kubernetes-sigs/metrics-server/issues/627

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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