---
title: "Discussion on \"ClickHouse Cloud Executable UDFs GA: Native Code, Network Access, and Query-Level Metrics\" | Hashnode"
description: "Discussion on \"ClickHouse Cloud Executable UDFs GA: Native Code, Network Access, and Query-Level Metrics\". LLM observability has a data problem hiding inside a measurement problem. Teams collect prompts, completions, model names, latency, and trace identifiers, but token-usage fields are not always present"
url: "https://hashnode.com/posts/clickhouse-cloud-executable-udfs-ga-native-code-network-access-and-query-level-metrics/6af369295396ff02840171e3"
---

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# [ClickHouse Cloud Executable UDFs GA: Native Code, Network Access, and Query-Level Metrics](https://aidatalegends.hashnode.dev/clickhouse-cloud-executable-udfs-ga-native-code-network-access-and-query-level-metrics?utm_source=hashnode&utm_medium=feed)

LLM observability has a data problem hiding inside a measurement problem. Teams collect prompts, completions, model names, latency, and trace identifiers, but token-usage fields are not always present

1d ago · 4 min read · aidatalegends.hashnode.dev  
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-   [#database](https://hashnode.com/tag/database)

## Written by

[Aritra Chakraborty](https://hashnode.com/@aidatalegends)

@aidatalegends · Kolkata, India

  
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Writing about practical AI and data engineering at aidatalegends.com

I write AI Data Legends: hands-on guides to LLMs on Amazon Bedrock, Databricks, vector search, AI agents and workflow automation. Each post here is an excerpt; the full articles with diagrams, code and sources live at aidatalegends.com.

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