---
title: "Discussion on \"LLM Observability: A Technical Deep Dive\" | Hashnode"
description: "Discussion on \"LLM Observability: A Technical Deep Dive\". observability with OpenTelemetry"
url: "https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9"
---

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Discussion

# [LLM Observability: A Technical Deep Dive](https://blog.ratishfolio.com/llm-observability-a-technical-deep-dive?utm_source=hashnode&utm_medium=feed)

observability with OpenTelemetry

Jul 19 · 6 min read · blog.ratishfolio.com  
Read the article

-   [#llm](https://hashnode.com/tag/llm)
-   [#observability](https://hashnode.com/tag/observability)
-   [#opentelemetry](https://hashnode.com/tag/opentelemetry)
-   [#distributed-system](https://hashnode.com/tag/distributed-system)
-   [#system-design](https://hashnode.com/tag/system-design)

## Written by

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

@Ratishjain

  
[View profile](https://hashnode.com/@Ratishjain)

Software engineer with experience building backend services, cloud infrastructure, and AI-powered applications. Over the past few years, I’ve worked across API design, distributed systems, DevOps, and AI workflows, helping take products from idea to production. I enjoy solving engineering problems end-to-end—whether that involves designing system architecture, building reliable backend services, automating infrastructure, or integrating AI where it creates real value. Interests: Backend Engineering, Platform Engineering, Cloud Infrastructure, Distributed Systems, and Applied AI.

## Responses 6

Markdown supported · ⌘↵ to post

[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.

[Synfinity Dynamics Pvt Ltd](https://hashnode.com/@synfinity-dynamics)

[Jul 21](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f1fa7c2aeb207fbc09ce4)

Excellent explanation of Metrics, Logs, and Traces, especially Understanding Traces and Spans.

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

[Jul 21](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f1fa7c2aeb207fbc09ce4#reply-6a5f36837eb546b431facbc9)

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

[Sanoary Istiaque](https://hashnode.com/@istyy)

[Jul 21](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f115b126153b10f9c3821)

Excellent breakdown of LLM observability. The distinction between metrics, logs, traces, and spans makes the topic easy to understand, while the OpenTelemetry pipeline shows how these concepts fit into a real production system. I especially liked the focus on tracing retrieval steps, tool calls, latency, and token costs rather than monitoring only infrastructure.

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

[Jul 21](https://hashnode.com/posts/llm-observability-a-technical-deep-dive/6a5cb7649e72dcf6ce640dc9/comment/6a5f115b126153b10f9c3821#reply-6a5f157aa54d38f337c88c77)

Thank you! I'm glad the breakdown resonated with you. Really appreciate your kind words and thoughtful insights.