--- title: "LogAn: Large-scale log analysis with small language models" url: https://daily.dev/posts/logan-large-scale-log-analysis-with-small-language-models-3i4pl1gv1 source_url: https://developers.redhat.com/articles/2026/05/28/logan-large-scale-log-analysis-small-language-models type: article source: "Red Hat Developer" published: 2026-05-28T07:26:29.927Z updated: 2026-05-28T07:27:09.744Z tags: ["observability", "aiops"] reading_time: 6 upvotes: 0 comments: 0 language: 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. # LogAn: Large-scale log analysis with small language models **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 6 min read · 0 upvotes · 0 comments ## Summary LogAn is an open source log analysis tool developed by IBM Research with Red Hat contributions that addresses the scalability problem of using LLMs on large production log datasets. It combines the Drain template mining algorithm with small language model (SLM) classification to compress millions of log lines into unique structural templates. In a real case, 199,181 log lines compressed to just 97 unique templates, with only 41 requiring analysis. A label broadcasting technique keeps inference time flat at 10-12 seconds regardless of log volume. LogAn classifies logs using Google SRE golden signals (availability, error, latency, saturation, traffic) and fault categories, supports bring-your-own-model, and can be run as a CLI tool or Podman container. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Log-to-Action](https://daily.dev/posts/log-to-action-fh4dx99gr) · Snowflake Community · 0 upvotes · 0 comments - [How GenAI is revolutionizing log management and log analytics](https://daily.dev/posts/how-genai-is-revolutionizing-log-management-and-log-analytics-m7ms72mae) · elastic · 0 upvotes · 0 comments - [Semantic anomaly detection in log files with Cordon](https://daily.dev/posts/semantic-anomaly-detection-in-log-files-with-cordon-fvflcndyi) · Red Hat Developer · 0 upvotes · 0 comments - [AI-first debugging: Tools and techniques for faster root cause analysis](https://daily.dev/posts/ai-first-debugging-tools-and-techniques-for-faster-root-cause-analysis-zdzotqqdq) · LogRocket · 1 upvotes · 0 comments --- Tags: [#observability](https://daily.dev/tags/observability), [#aiops](https://daily.dev/tags/aiops) [View this post on daily.dev](https://daily.dev/posts/logan-large-scale-log-analysis-with-small-language-models-3i4pl1gv1)