# DBT Cloud - life cycle modesl management

**URL:** <https://discourse.getdbt.com/t/dbt-cloud-life-cycle-modesl-management/12744>\
**Category:** In-Depth Discussions\
**Created:** [April 4, 2024, 8:55am UTC](https://discourse.getdbt.com/t/dbt-cloud-life-cycle-modesl-management/12744 "2024-04-04T08:55:28Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![christophe.hervouet](https://avatars.discourse-cdn.com/v4/letter/c/5daacb/32.png) [@christophe.hervouet](https://discourse.getdbt.com/u/christophe.hervouet)\
**Post date:** [April 4, 2024, 8:55am UTC](https://discourse.getdbt.com/t/dbt-cloud-life-cycle-modesl-management/12744/1 "2024-04-04T08:55:28Z")

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Hi dears dbt fans

sorry I very beginner ;\>) on dbt cloud

I have some questions around Lifecycle / DEVOPS / DATA ops management on dbt cloud

1. I created a new dbt cloud project linked to a BigQuery (project + dataset)  
linked a github repository

Perfect , i guess it’s a kind of workspace

I share this projects with 4 persons

1. How to deploy models & setup jobs on TEST & Prod bigquery environments ?  
BigQuery (projects + datasets)

Do we need  
#1 To create TEST & Prod projects & deploy models scripts (via Terraform ?) & setup jobs ?  
Or #2 to play with Deploy (Jobs & env) via our project interface ?  
\<== Problem : scripts source is always our master branch for TEST & DEV build jobs ← can be dangerous for PROD