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This means fewer false positives and ensures you catch critical issues without the guesswork.\"}],\"\\n\",[\"$\",\"p\",null,{\"children\":[\"$\",\"img\",null,{\"src\":\"https://storage.googleapis.com/sentry-docs-changelog/7vEbftw-anomaly-alert-example.jpg\",\"alt\":\"Image showing monitoring a metric, such as application's throughput. The chart shows two \\\"anomalies\\\", indicated by a red bar: a spike and a dip. Sentry opens an alert automatically in response to those anomalies.\"}]}],\"\\n\",[\"$\",\"p\",null,{\"children\":\"For example, you can configure anomaly detection to monitor your app’s throughput. When Sentry detects unusual deviations from regular patterns (“anomalies”) it triggers an alert automatically, such as the spike and dip in red in the chart above. 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They are now available in open beta."/><meta name="zd-site-verification" content="ocu6mswx6pke3c6qvozr2e"/><link rel="canonical" href="https://sentry.io/changelog/anomaly-detection-metrics-alerts-beta/"/><meta property="og:title" content="Anomaly detection simplifies alert configuration–now in beta | Sentry Changelog"/><meta property="og:description" content="Anomaly alerts make metrics-based alerts easier to create and more flexible, by automatically detecting thresholds and adjusting them based on seasonality. They are now available in open beta."/><meta property="og:image" content="https://changelog.sentry.dev/img/hero.png"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:title" content="Anomaly detection simplifies alert configuration–now in beta | Sentry Changelog"/><meta name="twitter:description" content="Anomaly alerts make metrics-based alerts easier to create and more flexible, by automatically detecting thresholds and adjusting them based on seasonality. They are now available in open beta."/><meta name="twitter:image" content="https://changelog.sentry.dev/img/hero.png"/><link rel="icon" href="https://changelog.sentry.dev/favicon.ico"/><script>document.querySelectorAll('body link[rel="icon"], body link[rel="apple-touch-icon"]').forEach(el => document.head.appendChild(el))</script><script src="/_next/static/chunks/app/changelog/%5Bslug%5D/page-29d4f90624b89131.js" async=""></script><link rel="preload" as="image" href="https://storage.googleapis.com/sentry-docs-changelog/7vEbftw-anomaly-alert-example.jpg"/><link rel="preload" as="image" href="https://storage.googleapis.com/sentry-docs-changelog/-wUHmZ0-anomaly-alert-setup.webp"/><div hidden id="S:1"><div class="relative min-h-[calc(100vh-8rem)] w-full mx-auto grid grid-cols-12 bg-gray-200" data-sentry-component="ChangelogEntry" data-sentry-source-file="page.tsx"><div class="col-span-12 md:col-start-3 md:col-span-8"><div class="max-w-3xl mx-auto px-4 p-4 sm:px-6 lg:px-8"><div class="flex justify-between items-center space-x-4 py-3"><a data-sentry-element="Link" data-sentry-source-file="page.tsx" href="/changelog/"><button class="flex items-center gap-2 px-6 py-3 font-bold text-center text-primary uppercase align-middle transition-all rounded-lg select-none hover:bg-gray-900/10 active:bg-gray-900/20" type="button"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" aria-hidden="true" class="w-4 h-4" data-sentry-element="svg" data-sentry-source-file="page.tsx"><path stroke-linecap="round" stroke-linejoin="round" d="M10.5 19.5L3 12m0 0l7.5-7.5M3 12h18" data-sentry-element="path" data-sentry-source-file="page.tsx"></path></svg>Back</button></a></div><article class="bg-white rounded-lg shadow-lg mb-8 undefined" data-sentry-component="Article" data-sentry-source-file="article.tsx"><div class="p-6"><h3 class="text-3xl text-primary font-semibold mb-2">Anomaly detection simplifies alert configuration–now in beta</h3><div><div class="flex flex-wrap gap-1 py-1"></div><div class="prose max-w-none text-gray-700 py-2"><!--$--><p>Anomaly detection removes the complexity and guesswork of creating metric-based alerts, by automatically recognizing patterns in your data and identifying when something deviates from the norm. It dynamically adjusts thresholds based on seasonality and long-term trends—all out of the box, with zero required configuration. This means fewer false positives and ensures you catch critical issues without the guesswork.</p>
<p><img src="https://storage.googleapis.com/sentry-docs-changelog/7vEbftw-anomaly-alert-example.jpg" alt="Image showing monitoring a metric, such as application's throughput. The chart shows two "anomalies", indicated by a red bar: a spike and a dip. Sentry opens an alert automatically in response to those anomalies."/></p>
<p>For example, you can configure anomaly detection to monitor your app’s throughput. When Sentry detects unusual deviations from regular patterns (“anomalies”) it triggers an alert automatically, such as the spike and dip in red in the chart above. This allows your team to quickly be notified and address the issue.</p>
<p>Anomaly alerts are now available in open beta for all Sentry users on a Trial, Business, or Enterprise plan.</p>
<p><img src="https://storage.googleapis.com/sentry-docs-changelog/-wUHmZ0-anomaly-alert-setup.webp" alt="Screenshot of the Sentry interface for creating anomaly alerts"/></p>
<p>To get started, navigate to the <em>Alerts</em> tab in the left nav bar and click on <em>Create Alert</em>. From there, select a metric and choose <em>Anomaly</em> as your detection method, optionally adjust the sensitivity, and let Sentry handle the rest.</p>
<p>Learn more:</p>
<ul>
<li><a href="https://docs.sentry.io/product/alerts/create-alerts/metric-alert-config/#anomaly-alerts">Docs: Configure anomaly alerts</a></li>
<li><a href="https://blog.sentry.io/anomaly-alerts-open-beta-smarter-monitoring-fewer-false-alarms/">Blog: Anomaly Alerts Now in Open Beta: Smarter Monitoring, Fewer False Alarms</a></li>
</ul><!--/$--></div><dl><dd class="text-xs leading-6 text-gray-400"><time dateTime="March 25, 2025" data-sentry-component="DateComponent" data-sentry-source-file="date.tsx">March 25, 2025</time></dd></dl></div></div></article><div data-sentry-component="ArticleFooter" data-sentry-source-file="index.tsx"><div class="mb-8 py-5 px-8 rounded-md flex flex-col md:flex-row items-center justify-center flex-wrap gap-2" style="background:url('/_next/static/media/squiggle.51734ec6.png') 0px 0px / 300px 300px, linear-gradient(315deg, rgb(24, 13, 28) 0.57%, rgb(69, 38, 80) 100%) 0% 0% / cover"><div class="flex-1 text-white uppercase text-base">Your code is broken. Let's Fix it.</div><a class="text-primary styles_btn__MGuqZ text-white bg-indigo-600 hover:bg-indigo-700 disabled:bg-indigo-300 px-4 py-2 text-sm font-medium duration-150 transition-all disabled:cursor-not-allowed inline-flex items-center w-full md:w-auto justify-center uppercase rounded-3xl !text-white" data-sentry-element="Button" data-sentry-source-file="index.tsx" href="https://sentry.io/signup">Get Started</a></div></div></div></div></div></div><script>$RS=function(a,b){a=document.getElementById(a);b=document.getElementById(b);for(a.parentNode.removeChild(a);a.firstChild;)b.parentNode.insertBefore(a.firstChild,b);b.parentNode.removeChild(b)};$RS("S:1","P:1")</script><script>$RC=function(b,c,e){c=document.getElementById(c);c.parentNode.removeChild(c);var a=document.getElementById(b);if(a){b=a.previousSibling;if(e)b.data="$!",a.setAttribute("data-dgst",e);else{e=b.parentNode;a=b.nextSibling;var f=0;do{if(a&&8===a.nodeType){var d=a.data;if("/$"===d)if(0===f)break;else f--;else"$"!==d&&"$?"!==d&&"$!"!==d||f++}d=a.nextSibling;e.removeChild(a);a=d}while(a);for(;c.firstChild;)e.insertBefore(c.firstChild,a);b.data="$"}b._reactRetry&&b._reactRetry()}};$RC("B:0","S:0")</script><div hidden id="S:2"></div><script>$RC("B:2","S:2")</script><div hidden id="S:3"></div><script>$RC("B:3","S:3")</script></body></html>