# How LY Corporation uses ClickHouse to observe one of the largest Kafka deployments on earth

DevFeed: [How LY Corporation uses ClickHouse to observe one of the largest Kafka deployments on earth](<https://devfeed.tech/articles/how-ly-corporation-uses-clickhouse-to-observe-one-of-the-largest-kafka-deployments-on-earth-5386.md>)

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

Author: ClickHouse

Published: 2026-02-09T13:22:47Z

Content type: article

Language: en

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

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [Grafana](<https://devfeed.tech/topics/grafana.md>), [data](<https://devfeed.tech/topics/data.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Microservice](<https://devfeed.tech/topics/microservice.md>), [site-reliability-engineering](<https://devfeed.tech/topics/site-reliability-engineering.md>)

Tags: [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [data](<https://devfeed.tech/tags/data.md>), [ecosystem](<https://devfeed.tech/tags/ecosystem.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [logging](<https://devfeed.tech/tags/logging.md>), [logs](<https://devfeed.tech/tags/logs.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [observability](<https://devfeed.tech/tags/observability.md>), [performance](<https://devfeed.tech/tags/performance.md>), [production](<https://devfeed.tech/tags/production.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scale](<https://devfeed.tech/tags/scale.md>), [software](<https://devfeed.tech/tags/software.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [sync](<https://devfeed.tech/tags/sync.md>), [tech-lead](<https://devfeed.tech/tags/tech-lead.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>)

## AI overview

LY Corporation uses ClickHouse to monitor a massive Apache Kafka deployment, processing more than 1 trillion messages and 2.6 PB of I/O daily. ClickHouse ingests 7 million API-log rows per second and enables millisecond-level debugging across more than 4.1 trillion rows in real time, using only 24 servers.

## Source excerpt

"ClickHouse plays a really important role in our automated monitoring efforts. We're handling a massive amount of data--about seven million rows per second--but with just 24 servers, we've achieved outstanding cost performance." - Haruki Okada, Senior Softw