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As mentioned in the article, The EFK stack (Elasticsearch, Fluentd, Kibana) is great for unified logging. And its not just for OpenShift, its working wonders for our current project with Kubernetes on AWS.

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Could you give more details about why Fluentd and not Beats + Logstash on the other end? I don't like the idea of running Ruby on every machine just to ship logs somewhere.

Beats are pretty lightweight and for what I used them they work.

Many people use the ELK stack which is Logstash. I imagine you can swap out Fluentd for Logstash.

I find it a little heavy for log aggregation. LogDNA has been great for my K8s clusters, and is relatively cheap.

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