# Using Event Patterns in ClickStack to accelerate observability analysis

DevFeed: [Using Event Patterns in ClickStack to accelerate observability analysis](<https://devfeed.tech/articles/using-event-patterns-in-clickstack-to-accelerate-observability-analysis-5241.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/event-patterns-clickstack>)

Author: Mike Shi

Published: 2025-11-26T15:47:47Z

Content type: article

Language: en

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

Topics: [observability](<https://devfeed.tech/topics/observability.md>), [log management](<https://devfeed.tech/topics/log-management.md>), [Traces](<https://devfeed.tech/topics/traces.md>)

Tags: [analysis](<https://devfeed.tech/tags/analysis.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [logs](<https://devfeed.tech/tags/logs.md>), [observability](<https://devfeed.tech/tags/observability.md>), [traces](<https://devfeed.tech/tags/traces.md>)

## AI overview

This post explains how event patterns in ClickStack automatically cluster similar logs and traces to reveal recurring behaviors, anomalies, and rare signals. It describes dynamic, query-time analysis built on Drain3 and discusses how the approach helps engineers analyze noisy log data during exploratory investigations.

## Source excerpt

In this post, we'll explore why log analysis is inherently hard, what event patterns solve, how ClickStack implements them, and why we've chosen to do so at query time. We'll also share practical guidance on how to make the most of event patterns today, a