# Goodbye limitations, hello data: How Qonto is rethinking observability with ClickHouse Cloud

DevFeed: [Goodbye limitations, hello data: How Qonto is rethinking observability with ClickHouse Cloud](<https://devfeed.tech/articles/goodbye-limitations-hello-data-how-qonto-is-rethinking-observability-with-clickhouse-cloud-5535.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/qonto>)

Author: ClickHouse Team

Published: 2026-05-01T00:00:00Z

Content type: article

Language: en

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

Topics: [telemetry](<https://devfeed.tech/topics/telemetry.md>), [Grafana](<https://devfeed.tech/topics/grafana.md>), [incident](<https://devfeed.tech/topics/incident.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [compression](<https://devfeed.tech/tags/compression.md>), [grafana](<https://devfeed.tech/tags/grafana.md>), [incident](<https://devfeed.tech/tags/incident.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [observability](<https://devfeed.tech/tags/observability.md>), [s3](<https://devfeed.tech/tags/s3.md>), [sql](<https://devfeed.tech/tags/sql.md>), [sre](<https://devfeed.tech/tags/sre.md>), [traces](<https://devfeed.tech/tags/traces.md>), [tracing](<https://devfeed.tech/tags/tracing.md>)

## AI overview

Qonto describes moving its observability workloads from Grafana Tempo to ClickHouse Cloud, extending trace-query windows while avoiding aggressive sampling. The article also covers compression savings and an AI companion built with the ClickHouse MCP server for plain-English incident investigation.

## Source excerpt

How Qonto uses ClickHouse Cloud to power observability at scale -- replacing sampling and hour-capped queries with two-week query windows, 99.84% compression on high-cardinality data, and an AI incident companion built on the ClickHouse MCP server.