The Tiny AI Agent That Saved My System Before Any Monitoring Tool Even Noticed

Author(s): Manash Pratim Originally published on Towards AI. There’s a moment every engineer dreads. The dashboards are green. The alerts are silent. Everything looks calm until it isn’t. One minute your logs are flowing normally. The next minute, the system collapses like a badly timed Jenga tower. Image generated using AIThe article discusses the author’s experience creating a small Python agent that monitors system logs in real-time, catching issues before traditional monitoring tools can trigger alerts. By focusing on behavioral patterns, the author outlines the engineering challenges faced while building and optimizing this agent, including log deduplication and effective AI usage for predictions, ultimately concluding that this method could serve as a vital layer of observability in software systems. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI