# How Blacksmith paired Postgres and ClickHouse for fast CI and real-time observability

DevFeed: [How Blacksmith paired Postgres and ClickHouse for fast CI and real-time observability](<https://devfeed.tech/articles/how-blacksmith-paired-postgres-and-clickhouse-for-fast-ci-and-real-time-observability-4993.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/blacksmith-real-time-observability>)

Author: ClickHouse

Published: 2025-07-29T12:50:25Z

Content type: article

Language: en

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

Topics: [ci](<https://devfeed.tech/topics/ci.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [build times](<https://devfeed.tech/topics/build-times.md>), [GitHub Actions](<https://devfeed.tech/topics/github-actions.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [build-times](<https://devfeed.tech/tags/build-times.md>), [ci](<https://devfeed.tech/tags/ci.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [github-actions](<https://devfeed.tech/tags/github-actions.md>), [observability](<https://devfeed.tech/tags/observability.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

## AI overview

Blacksmith uses Postgres for operational metadata and ClickHouse Cloud to query large volumes of CI observability data. The article describes the move as a way to improve analytical-query performance, scalability, and developer experience.

## Source excerpt

What happens when you combine Postgres, ClickHouse Cloud, and real-time ingestion via the Postgres CDC connector in ClickPipes?