<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Benchmarking on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/benchmarking/</link><description>Recent content in Benchmarking on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 28 Oct 2026 16:55:14 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/benchmarking/index.xml" rel="self" type="application/rss+xml"/><item><title>Grafana o11y-bench v1.1 joins Fireworks Specialized Intelligence Index</title><link>https://curadevops.metacog.co.kr/insights/2026-10-28-evaluate-ai-models-for-observability-o11y-bench-joins-firewo/</link><pubDate>Wed, 28 Oct 2026 16:55:14 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-10-28-evaluate-ai-models-for-observability-o11y-bench-joins-firewo/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Learn:&lt;/strong> o11y-bench provides a structured way to evaluate AI models on real SRE workflows—metric queries, incident investigation, dashboard management—which may inform future AI tooling decisions for the observability stack, but nothing in production needs to change today.&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> This benchmark shapes thinking about how to objectively compare AI models for observability use cases before committing to a vendor or internal tooling investment, but no strategic decision is forced by this release.&lt;/li>
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