Complete guide to dbt-core CI/CD using Orchestra 🔀

There were three big problems we found which were time sinks for data teams when setting up CI/CD for dbt-core

1. Having to spin up extra infrastructure (Airflow and Git Containers) just to run dbt-core in staging environments
2. Managing manifest.json files and pulling these from S3 buckets into git containers just to make sure diffs get done properly
3. Lacking alerting and centralised metadata for dbt operations run as part of CI/CD runs and having to debug dbt dags using only github logs

If you're building data pipelines with dbt-core and want to take your workflows to the next level, this is the video for you.

In this comprehensive guide, we walk you through setting up a complete CI/CD pipeline for dbt-core using Orchestra, an open-source tool built to automate and orchestrate dbt runs with maximum control and flexibility. Whether you're just getting started with CI/CD or you're looking to optimise your current setup, this video covers everything from fundamentals to advanced deployment strategies.

Tired of manually running dbt models, dealing with messy version control, or struggling to test your changes before merging them into production? We'll show you how CI/CD with Orchestra can help you:

---- Automatically trigger tests and validations on pull requests
---- Deploy dbt jobs to production environments without human error
---- Use GitHub Actions with dbt-core for clean, automated workflows
---- Track runs and failures in a centralised interface


Orchestra plugs directly into your dbt-core repo and brings powerful automation features like scheduled runs, branch-specific deployments, real-time logs, and detailed model-level insights.

Think of it as the missing CI/CD layer that helps you ship analytics code faster, safer, and with better visibility. It's built by data engineers who get the challenges of running dbt in production—so it's developer-friendly and designed to fit into existing Git-based workflows.

📚 Explore more:
Docs: https://docs.getorchestra.io/docs/git...
Portal: https://app.getorchestra.io/signup