How Honeycomb.io improved observability with LLMs Level Up

AI and machine learning are becoming indispensable in maximizing system performance- for both developers and end users. But teasing out the right tools and methods can be challenging.

Philip Carter, Principal Product Manager at Honeycomb, sits down with us to discuss the developer experience and observability tools in the context of open-source telemetry projects- specifically with OpenTelemetry. He shares the positive impact these projects have had on the software community, especially the improvement in observability through open telemetry standards. He discusses the benefits of open telemetry for both vendors and customers, shedding light on the integration of machine learning into product development. Philip also delves into the role of observability tools in enhancing language models and data querying.

Join us as we discuss:
How open telemetry and observability drive Innovation for the software communityThe balance between the challenges and opportunities with AI augmentationBy putting developers at the center of software development efforts, companies will provide better products and higher customer satisfaction