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            <h1>Introduction to the Qumulo REST API</h1>
            <p><a href="https://qumulo.com/">Qumulo</a> creates products that to let users manage their unstructured file data for high-performance workloads at exabyte scale.</p>
            <p>You can use the Qumulo REST API or <code>qq</code> CLI to automate tasks (such as creating shares, quotas, or snapshots), streamline your workflows, and study your clusters' analytics to better understand how your Qumulo cluster's storage is used.</p>
            <ul>
                <li><strong>Qumulo REST API:</strong> To get started, see <a href="https://github.com/Qumulo/qumulo-api-introduction">Introduction to the Qumulo API</a> and the <a target="_blank" href="https://docs.qumulo.com/rest-api-guide/">Qumulo REST API Guide</a> on the Qumulo Documentation Portal.</li>
                <li><strong><code>qq</code> CLI tool:</strong> This wrapper that provides a streamlined command-line interface for the API. For more information, see <a target="_blank" href="https://docs.qumulo.com/qq-cli-command-guide/">Qumulo qq CLI Command Guide</a> on the Qumulo Documentation Portal.</li>
                <li><strong><code>python</code> bindings:</strong> This is the main method of interacting with the Qumulo API programmatically. For more information, see <a target="_blank" href="https://pypi.org/project/qumulo-api/">qumulo-api</a> in the Python Package Index.</li>
                <li><strong><code>curl</code> commands:</strong> These examples explain the raw REST elements that back the API.</li>
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            <p>The following Qumulo tools can help you perform routine tasks automatically:</p>
            <ul>
                <li><strong><a href="https://github.com/Qumulo/power-tools">Power Tools:</a></strong> Monitor workload data, such as paths, clients, IOPS, and throughput</li>
                <li><strong><a href="https://github.com/Qumulo/qdu">Disk Usage (<code>du</code>):</a></strong> Use Qumulo's aggregates to see the usage of a full file tree in real time</li>
                <li><strong><a href="https://github.com/Qumulo/qsplit">Parallel Copy (<code>qsplit</code>):</a></strong> Use capacity aggregates to divide a large data copy job to run with <code>rsync</code></li>
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