How Honeycomb.io improved observability with LLMs
Descarga y escucha en cualquier lugar
Descarga tus episodios favoritos y disfrútalos, ¡dondequiera que estés! Regístrate o inicia sesión ahora para acceder a la escucha sin conexión.
How Honeycomb.io improved observability with LLMs
Esta transcripción es generada automáticamente. Ten en cuenta que no se garantiza una precisión absoluta.
Descripción
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. https://www.linkedin.com/in/phillip-carter-4714a135/Principal Product...
mostra másPhilip 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 community
- The balance between the challenges and opportunities with AI augmentation
- By putting developers at the center of software development efforts, companies will provide better products and higher customer satisfaction
Información
Autor | Cody Chasteen |
Organización | Cody Chasteen |
Página web | - |
Etiquetas |
-
|
Copyright 2024 - Spreaker Inc. an iHeartMedia Company