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      <title>How We Reduced an App's Crash Rate from 2% to 0.1%</title>
      <dc:creator>Luma Commons</dc:creator>
      <pubDate>Sun, 27 Sep 2026 14:40:56 +0000</pubDate>
      <link>https://dev.to/lumacommons/how-we-reduced-an-apps-crash-rate-from-2-to-01-3b3b</link>
      <guid>https://dev.to/lumacommons/how-we-reduced-an-apps-crash-rate-from-2-to-01-3b3b</guid>
      <description>&lt;p&gt;How We Reduced an App's Crash Rate from 2% to 0.1%&lt;/p&gt;

&lt;p&gt;A 2% crash rate meant roughly 8,000 user sessions were ending in a crash every month for a retail banking app serving around 400,000 monthly active users.&lt;/p&gt;

&lt;p&gt;We spent three months identifying the root causes and brought the crash rate down to 0.1%.&lt;/p&gt;

&lt;p&gt;The biggest issues weren't obvious bugs. They were:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Core Data being accessed from multiple threads&lt;/li&gt;
&lt;li&gt;Memory pressure on older iPhones&lt;/li&gt;
&lt;li&gt;A third‑party analytics SDK that was leaking file handles&lt;/li&gt;
&lt;li&gt;Smaller issues around optionals, deep linking, and iOS edge cases&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Before fixing any of these, we first fixed the crash reporting and monitoring setup. Once we had reliable data, we could identify patterns instead of guessing.&lt;/p&gt;

&lt;p&gt;The biggest lesson: you can't fix what you can't see.&lt;/p&gt;

&lt;p&gt;We also added ongoing monitoring for crash rates, memory usage, release performance, and recurring crash signatures so stability wouldn't degrade again as the product evolved.&lt;/p&gt;

&lt;p&gt;Read the full breakdown here:&lt;br&gt;
&lt;a href="https://www.lumacommons.com/blog/reducing-crash-rate-to-zero-point-one" rel="noopener noreferrer"&gt;https://www.lumacommons.com/blog/reducing-crash-rate-to-zero-point-one&lt;/a&gt;&lt;/p&gt;

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      <category>ios</category>
      <category>mobile</category>
      <category>debugging</category>
      <category>swift</category>
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