<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Observability on SiBlog</title><link>https://sinimite.work/tags/observability/</link><description>Recent content in Observability on SiBlog</description><image><title>SiBlog</title><url>https://sinimite.work/images/og-default.svg?v=20260525-210321</url><link>https://sinimite.work/images/og-default.svg?v=20260525-210321</link></image><generator>Hugo -- 0.156.0</generator><language>zh-cn</language><lastBuildDate>Tue, 28 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sinimite.work/tags/observability/rss.xml" rel="self" type="application/rss+xml"/><item><title>2026 AI 应用工程师求职技术栈：东京、中国大陆与美国市场 JD 深度调研</title><link>https://sinimite.work/posts/ai-engineer-job-market-2026/</link><pubDate>Tue, 28 Jul 2026 00:00:00 +0000</pubDate><guid>https://sinimite.work/posts/ai-engineer-job-market-2026/</guid><description>一份面向东京、中国大陆和美国市场 AI Application Engineer 求职者的技术栈调研：Python、RAG、Agent、评测、云部署、安全与作品集。</description></item><item><title>从 Single-Agent 到 Multi-Agent：健壮 Sub-Agent 系统设计指南</title><link>https://sinimite.work/posts/robust-multi-agent-subagent-design-2026/</link><pubDate>Mon, 27 Jul 2026 00:00:00 +0000</pubDate><guid>https://sinimite.work/posts/robust-multi-agent-subagent-design-2026/</guid><description>面向普通程序员的 Multi-Agent 与 Sub-Agent 架构、指令设计、协调机制、可靠性、安全、评测与生产落地指南</description></item><item><title>RAG 检索工程：从混合检索到生产治理</title><link>https://sinimite.work/posts/rag-retrieval-engineering-guide/</link><pubDate>Fri, 17 Jul 2026 15:40:44 +0900</pubDate><guid>https://sinimite.work/posts/rag-retrieval-engineering-guide/</guid><description>一篇关于 RAG 检索层设计与落地的技术报告，涵盖 BM25、Embedding、ANN、RRF、重排、查询理解、访问控制、评测和部署实践。</description></item><item><title>RAG 系统的可观测性与评估体系设计</title><link>https://sinimite.work/posts/rag-observability-evaluation-design/</link><pubDate>Fri, 17 Jul 2026 15:06:18 +0900</pubDate><guid>https://sinimite.work/posts/rag-observability-evaluation-design/</guid><description>系统讲解 RAG 可观测性与评估体系的设计方法，包括分阶段 Trace、运行指标、评测数据集、质量评分、实验对比、隐私边界和故障降级。</description></item><item><title>OpenTelemetry 入门：面向 AI 应用与 AI Agent 开发者的通俗指南</title><link>https://sinimite.work/posts/opentelemetry-ai-agent-observability-guide/</link><pubDate>Thu, 16 Jul 2026 21:08:52 +0900</pubDate><guid>https://sinimite.work/posts/opentelemetry-ai-agent-observability-guide/</guid><description>面向 AI 应用开发者的 OpenTelemetry 入门指南，涵盖 Trace、Metric、Log、Profile、Context Propagation、Collector、GenAI 语义约定和生产实践。</description></item></channel></rss>