Evidence First, Answer Second: Building an Observable Industrial AI Agent with SigNoz
The problem with traditional alarms
What I built
How the agent uses knowledge
The LLM does not own the safety decision
Making the full decision visible with SigNoz
The dashboard that changed how I understood the agent
Following an incident from detection to recovery
What I learned
Conclusion
Project links
References
This article discusses content originally published by at Dev.to.
Full stack developer building high-traffic platforms, AI services, and custom web applications. Explore my portfolio, learn about my background, or get in touch.
I spent the last two weeks trying to explain to our compliance officer why sending insurance claim data to OpenAI's API is a non-starter for our product roadmap. She pulled out a regulatory document, I pulled out a cost projection, and we both realized we were talking past each o...
Last month, I got a request from a client to build a feature that automatically generates summaries of user-submitted articles. My first instinct? Panic. I started Googling "how to train NLP models" and immediately got lost in research papers about attention mechanisms and tokeni...
Last month, I watched a junior developer paste an entire microservice architecture into ChatGPT to debug a timing issue. Sensitive database credentials were right there in the logs. Database URL. API keys. Everything. When I pointed it out, they shrugged and said, "It's just Chat...