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How To Optimize Large S3 API Costs using Alluxio

Written by @bin-fan | Published on 2020/8/6

TL;DR
This article describes how engineers at Datasapiens brought down S3 API costs by implementing Alluxio as a data orchestration layer between S3 and Presto. The main conclusion from these use cases is that using AlluxIO has the following benefits: lower latency in data processing pipelines. The infrastructure costs were above expectations due to S3 cost increases, making up a large proportion of the overall cost (described in detail below) This architecture achieves faster performance and reduced compilation times. In addition, we saw a drop in infrastructure costs due to the increase in S3 costs.

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Written by
@bin-fan
VP of Open Source and Founding Member @Alluxio

Topics and
tags
benchmark|hadoop|cloud-storage|sql|apache-spark|distributed-systems|open-source|aws
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: 12hpdDxkreNmO_6mN2w42q34B-DTk0MN9xr4ZKQfdfc