Deploy Bruin with AWS Lambda
Package Bruin in an AWS Lambda container image for short scheduled or event-driven production pipeline runs.
What
Goal - Run Bruin pipelines as short AWS Lambda jobs packaged as container images.
Best for - Scheduled or event-driven AWS workloads that fit Lambda runtime and resource limits.
Prerequisites
- An AWS account with permission to manage Lambda, ECR, EventBridge, IAM, Secrets Manager, and CloudWatch Logs
- AWS CLI configured locally
- Docker installed
- A Bruin project ready to deploy
- Production data platform credentials
Bruin CLI gives you an open-source runtime inside your AWS account. For longer pipelines or richer managed operations, use AWS ECS or Bruin Cloud. Bruin Cloud adds governed scheduling, lineage, backfills, notifications, secure connections, and observability.
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.