AI-Powered Log Analyzer
A log analysis tool that uses OpenAI's GPT-4 API to automatically analyze and summarize application logs, cutting through noisy output to surface what matters.
Problem
Reading through large volumes of raw application logs to find the root cause of an issue is slow, and most of the content in a log file isn't relevant to the problem at hand.
Why I built it
Wanted to apply GPT-4 to a concrete backend workflow (log triage) rather than a generic chat interface, and see how far prompt-based summarization could go on real log volume.
Solution
A Java backend that ingests log files, batches and rate-limits requests to the OpenAI API to stay within usage limits, and returns a structured summary of what happened instead of a wall of raw text.
How it’s built
- Asynchronous request processing, request batching, and rate limiting to efficiently handle large log files while complying with OpenAI API limits.
- Modular backend components for log parsing, prompt generation, AI response processing, and structured result presentation.
Source is on GitHub.
Tech stack
Published January 1, 2026
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