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Interesting article, though I wish there were more details on why this was cheaper, and where the hundreds of thousands of dollars saved annually came from.



Mainly saved in infrastructure costs: Elasticsearch and Kubernetes resources.


Also from Fair here.

A lot of the cost savings were because we could decrease the size of our elasticsearch cluster. This was mostly due to the flattening of the elasticsearch document schema, which improved performance dramatically but also allowed us to run significantly fewer ES nodes.


Gotcha, thanks for reaching back!




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