# How Langfuse is scaling LLM observability for the agentic era with ClickHouse Cloud

DevFeed: [How Langfuse is scaling LLM observability for the agentic era with ClickHouse Cloud](<https://devfeed.tech/articles/how-langfuse-is-scaling-llm-observability-for-the-agentic-era-with-clickhouse-cloud-5376.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/langfuse-llm-analytics>)

Author: ClickHouse

Published: 2026-02-03T00:00:00Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [observability](<https://devfeed.tech/topics/observability.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [llm](<https://devfeed.tech/tags/llm.md>), [observability](<https://devfeed.tech/tags/observability.md>), [rag](<https://devfeed.tech/tags/rag.md>)

## AI overview

Langfuse describes how ClickHouse Cloud supports real-time observability and analytics for complex, agentic LLM applications. The article highlights a migration from Postgres that reduced query latency and supported growing ingestion volumes, along with planned wide-table modeling intended to reduce memory usage and accelerate analytical queries.

## Source excerpt

"We're building observability for engineering teams working on the most complex and advanced agentic systems. ClickHouse has served us really, really well." Max Deichmann, Co-Founder and CTO