--- title: As a lead, did you ever see Big O problems appear in... description: A real-world example of O(n²) complexity hiding in a logging system: appending logs to a growing array and reserializing the entire array on every flush caused... canonical: https://daily.dev/posts/as-a-lead-did-you-ever-see-big-o-problems-appear-in-logging-or-diagnostics--sbg3cztwp twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: As a lead, did you ever see Big O problems appear in logging or diagnostics? | daily.dev og:description: A real-world example of O(n²) complexity hiding in a logging system: appending logs to a growing array and reserializing the entire array on every flush caused... og:url: https://daily.dev/posts/as-a-lead-did-you-ever-see-big-o-problems-appear-in-logging-or-diagnostics--sbg3cztwp og:image: https://api.daily.dev/og/posts/sBg3CZTwP.png og:image:alt: As a lead, did you ever see Big O problems appear in logging or diagnostics? og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # As a lead, did you ever see Big O problems appear in logging or diagnostics? **[Rebeloper](https://daily.dev/sources/rebeloper)** · 1 min read · 0 upvotes · 0 comments ## Summary A real-world example of O(n²) complexity hiding in a logging system: appending logs to a growing array and reserializing the entire array on every flush caused massive IO spikes in production during long sessions. The fix was switching to streaming writes to avoid full rewrites on each entry. ## Full article daily.dev links to this article rather than hosting it. 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