Deploy Bruin with Google Cloud Run Jobs
Run Bruin pipelines as Google Cloud Run Jobs using Artifact Registry, Secret Manager, Cloud Scheduler, and Cloud Logging.
What
Goal - Run Bruin pipelines as Google Cloud Run Jobs for serverless batch execution.
Best for - GCP teams that want scheduled container jobs without running a long-lived service.
Prerequisites
- A Google Cloud project
gcloudCLI configured locally- Docker installed
- Permission to use Cloud Run, Artifact Registry, Secret Manager, Cloud Scheduler, IAM, and Cloud Logging
- A Bruin project ready to deploy
Bruin CLI runs as an open-source containerized workload in your GCP project. Bruin Cloud is the managed option when you want scheduling, monitoring, lineage, backfills, notifications, and encrypted connections handled by Bruin.
More guides
Chat with an AI Agent
Use Bruin Cloud's chat to ask an AI agent about your data, generate reports, and run Bruin Cloud CLI tasks like pipeline status and history.
Configure AI Agents
Create and configure AI agents in Bruin Cloud - pick a project, add messaging integrations, attach a connection set, and set permissions.
Connect Bruin Cloud MCP to Claude Code
Set up the Bruin Cloud MCP so your AI agent can query pipelines, inspect runs, and trigger actions in Bruin Cloud directly from your terminal.