Logs are essentially a language, and if you throw the right information into a large language model (LLM), it can help explain what happened. There is a hook in Gonzo where users can throw a log into their favorite LLM via backend APIs. This helps bubble up patterns such as repeated critical metrics and assists in pattern analysis and heat charts to separate the signal from the noise. As more code is created by AI, the complexity of logs is not getting simpler, necessitating a step back to look at the fundamentals of how data is…
