---
title: "Comment by Sarah Pan on \"LLM Observability: A Technical Deep Dive\" | Hashnode"
description: "This was a really useful breakdown. The metrics / logs / traces distinction also made the topic much easier to understand. I’m curious whether you think LLM obs"
url: "https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f342a430ea8c1788d5ecd"
---

[Discussion](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9)

Comment [LLM Observability: A Technical Deep Dive](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9)

[Sarah Pan](https://hashnode.com/@sarahpan)

[Jul 21](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f342a430ea8c1788d5ecd)

This was a really useful breakdown. The metrics / logs / traces distinction also made the topic much easier to understand. I’m curious whether you think LLM observability will eventually become a default layer in AI products, the same way application monitoring is now.

[Ratish Jain](https://hashnode.com/@Ratishjain)

[Jul 21](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f342a430ea8c1788d5ecd#reply-6a5f36877eb546b431facc05)

Thank you! I'm glad the breakdown resonated with you.