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Data Science Tech Brief By HackerNoon
Data Science Tech Brief By HackerNoon

Your Redshift Cluster Is Probably Idle 85% of the Time — And You're Paying for All of It

20 June 2026 11:34 HackerNoon

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About this episode

    This story was originally published on HackerNoon at: <a href="https://hackernoon.com/your-redshift-cluster-is-probably-idle-85percent-of-the-time-and-youre-paying-for-all-of-it">https://hackernoon.com/your-redshift-cluster-is-probably-idle-85percent-of-the-time-and-youre-paying-for-all-of-it</a>.
        <br> Your Redshift cluster is probably idle most of the day and billing you for all of it. <br>
        Check more stories related to data-science at: <a href="https://hackernoon.com/c/data-science">https://hackernoon.com/c/data-science</a>.
        You can also check exclusive content about <a href="https://hackernoon.com/tagged/data-analytics">#data-analytics</a>, <a href="https://hackernoon.com/tagged/data-engineering">#data-engineering</a>, <a href="https://hackernoon.com/tagged/data-management">#data-management</a>, <a href="https://hackernoon.com/tagged/redshift-data-architecture">#redshift-data-architecture</a>, <a href="https://hackernoon.com/tagged/redshift-provisioned">#redshift-provisioned</a>, <a href="https://hackernoon.com/tagged/serverless-rpu">#serverless-rpu</a>, <a href="https://hackernoon.com/tagged/cloud-cost-optimization">#cloud-cost-optimization</a>, <a href="https://hackernoon.com/tagged/redshift-data-sharing">#redshift-data-sharing</a>,  and more.
        <br>
        <br>
        This story was written by: <a href="https://hackernoon.com/u/xavariannabarun">@xavariannabarun</a>. Learn more about this writer by checking <a href="https://hackernoon.com/about/xavariannabarun">@xavariannabarun's</a> about page,
        and for more stories, please visit <a href="https://hackernoon.com">hackernoon.com</a>.

            <br>
            <br>
            Your Redshift cluster is probably idle most of the day and billing you for all of it. Here's the SQL query, the breakeven formula, and two real production cases that show exactly when Serverless wins, when Provisioned wins, and when neither is the right answer.
    </p>

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