# How Trigger.dev is using ClickHouse to scale observability for long-running AI workflows

DevFeed: [How Trigger.dev is using ClickHouse to scale observability for long-running AI workflows](<https://devfeed.tech/articles/how-trigger-dev-is-using-clickhouse-to-scale-observability-for-long-running-ai-workflows-5612.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/trigger-dev-scaling-observability>)

Author: ClickHouse

Published: 2026-07-09T13:07:00Z

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>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [Serverless](<https://devfeed.tech/topics/serverless.md>), [observability ai agents](<https://devfeed.tech/topics/observability-ai-agents.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [logs](<https://devfeed.tech/tags/logs.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>), [traces](<https://devfeed.tech/tags/traces.md>), [video](<https://devfeed.tech/tags/video.md>)

## AI overview

Trigger.dev migrated observability workloads for its serverless asynchronous workflow platform from Postgres to ClickHouse. The move addressed scaling bottlenecks while enabling fast analysis of logs, traces, and execution telemetry, with P95 queries around 200 ms and substantially lower telemetry storage requirements.

## Source excerpt

Trigger.dev migrated from Postgres to ClickHouse to scale observability for its serverless AI workflow platform, delivering ~200 ms P95 query performance and a dramatically smaller telemetry storage footprint.