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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
Dealing with infrastructure costs typically isn’t high on an R&D team’s priority list. But these aren’t typical times, and lowering costs is unfortunately yet another burden being placed on already overloaded teams. For those responsible for data-intensive applications, reducing database costs can be a low-hanging fruit for significant cost reduction.
For some inspiration, here’s a look at how several dev teams significantly reduced database costs while actually improving database performance.
Moreover, moving to ScyllaDB reduced the database cost of the Connection-Polling service from $54,000 to $6,000 — a 9x savings.
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