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In today’s fast-paced and complex technological landscape, observability has become a critical aspect of ensuring the reliability and performance of software systems.

However, traditional observability tools and techniques can only go so far in providing insights into the behavior of these systems. Enter ChatGPT, a conversational AI tool that can help bridge the gap between observability and human understanding.

In this session, we will explore ChatGPT and how it could theoretically be used to enhance an enterprise’s observability practices. We will briefly look at how ChatGPT can be trained to understand and interpret system logs, metrics, and other observability data, and explore whether it can provide useful real-time insights and recommendations to engineers and operators.

By attending this session, you will gain a deeper understanding of how conversational AI can be leveraged to improve observability in software systems, and how ChatGPT help you avoid potential issues before they become critical problems.