Modern systems generate huge volumes of logs. Application logs, server logs, and infrastructure logs often contain the first clues when something breaks. The problem is not a lack of data, but the effort required to read and understand it. Engineers ...

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Learn to build a log analysis agent that uses LangChain and OpenAI to automatically interpret application logs. The tutorial covers creating a FastAPI backend that chunks large log files, designing effective prompts for an LLM to act as a senior SRE, and building a simple web UI for file uploads. Includes deployment instructions for Sevalla with auto-deployment from GitHub. The agent reads logs, identifies errors, explains root causes, and suggests next steps in plain language.

How to Build and Deploy a LogAnalyzer Agent using LangChain