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Bruin Cloud ​

Bruin Cloud is a managed platform built on top of the open-source Bruin CLI. It runs your pipelines on a schedule, stores your connections securely, gives you a UI for monitoring runs and lineage, and ships an AI layer that can chat with your data, build dashboards, and answer questions in tools like Slack and Teams.

INFO

This section of the documentation covers Bruin Cloud. If you are looking for the open-source CLI, start at the Quickstart.

What you get ​

  • Managed scheduling: pipelines defined in your Git repo run on their configured schedule without you running a server.
  • Connections and secrets: BigQuery, Snowflake, Postgres, Databricks, S3, and dozens of other platforms configured through the UI. Credentials are encrypted at rest with HashiCorp Vault.
  • Run monitoring: runs, logs, lineage, backfills, manual runs, and per-asset history for every pipeline.
  • AI agents and dashboards: configurable agents scoped to projects and connection sets. Use them in the Bruin Cloud chat, embed them in Slack, Teams, Google Chat, Discord, WhatsApp, or Telegram, schedule them, or build dashboards with them.
  • Cross-pipeline dependencies: depend on assets that live in a different pipeline or repo using URIs.
  • Insights: cost explorer, pipeline health, risk report, and usage tracking.
  • Catalog and governance: a glossary, owners, and built-in quality rules that score every asset.
  • Team administration: team settings, API tokens, and a full audit log.

How to read these docs ​

If you are new to Bruin Cloud, start with Getting Started. It walks through wiring up a Git repo, adding connections, and enabling your first pipeline.

If you haven't installed the open-source CLI yet, the cloud docs assume you'll be defining pipelines in code — Quickstart, Pipeline definition, and Asset definition schema are the starting points there.

From there:

  • Projects: connect a Git repo, choose between the GitHub App and a personal access token, migrate existing projects.
  • Connections: configure the connections your pipelines and agents use.
  • Pipelines: enable pipelines, trigger runs, manage backfills, view lineage.
  • Runs: cross-pipeline run history, rerun, mark success/failure, drill into per-asset logs.
  • Backfills: multi-interval re-processing across historical date ranges.
  • Assets: asset catalog, per-asset detail, profile, columns, custom checks, AI suggestions.
  • Catalog: glossary, owners, and global lineage across pipelines.
  • Insights: cost explorer, pipeline health, risk report, usage.
  • Dashboards: AI-built dashboards your team can re-open without re-asking.
  • AI Agents: create agents, chat with them, schedule them, deploy them to chat platforms.
  • Integrations: connect agents to Slack, Microsoft Teams, Google Chat, Discord, WhatsApp, or Telegram.
  • Notifications: pipeline-level Slack, Teams, Discord, and webhook notifications.
  • Cross-pipeline dependencies: depend on assets that live in other pipelines.
  • Governance: the rules that drive quality scores and the risk report.
  • Instance Types: sizing assets at run time.
  • Team Settings, API Tokens, Audit Logs: team administration.
  • Cloud MCP: talk to Bruin Cloud from Cursor, Claude Code, or Codex.
  • FAQ: short answers to common questions, including patterns that look plausible but are not real features.

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