Re: [I] [Feature] Daily AI-Powered System Health Report & Risk Detection [hertzbeat]</span></a></span> </h1> <p class="darkgray font13"> <span class="sender pipe"><a href="/search?l=notifications@hertzbeat.apache.org&q=from:%22via+GitHub%22" rel="nofollow"><span itemprop="author" itemscope itemtype="http://schema.org/Person"><span itemprop="name">via GitHub</span></span></a></span> <span class="date"><a href="/search?l=notifications@hertzbeat.apache.org&q=date:20260218" rel="nofollow">Wed, 18 Feb 2026 00:37:56 -0800</a></span> </p> </div> <div itemprop="articleBody" class="msgBody"> <!--X-Body-of-Message--> <pre> infosushant1 commented on issue #4025: URL: <a rel="nofollow" href="https://github.com/apache/hertzbeat/issues/4025#issuecomment-3919428762">https://github.com/apache/hertzbeat/issues/4025#issuecomment-3919428762</a></pre><pre> Hi @anusha975, thanks for offering to help — really appreciate it! Let’s start with abnormal monitor filtering logic + basic statistical summarization (max / avg / trend) as the first sub-task. These are core building blocks for the daily health report and easy to review in a small PR. Suggested scope for the initial PR: Add a utility/service to fetch last 24h monitor metrics Implement abnormal filtering (configurable thresholds for CPU, memory, latency, etc.) Add summarization helpers (max / avg / simple trend) Unit tests for the above I’ll draft a short design note for this part and open an initial PR for feedback. If you have any preference on threshold definitions or existing utilities I should reuse, please let me know. Thanks again! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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