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We use very expensive machines to run our algorithms so it was very important for us to understand how we can better utilize them. Before, once we hit some memory error or we suspected that we might need more resources, we provisioned more machines to prepare for the worst-case scenario. Now our infrastructure scales automatically and our resources match exactly our processing needs. We can now tune our infrastructure usage and not waste a lot of resources.

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