Tag: CI/CD & DataOps
The Rescue dbt_rerun Deployment: Rebuilding Changed and Broken Models Without Disrupting Production
Keeping production data correct after a dbt change is harder than it looks. Learn how we introduced a dedicated rescue deployment to rebuild exactly what’s needed and when it’s needed, bringing consistency back to production data without costly full reruns or pipeline disruptions.
Why Data Teams Struggle Without Separate Dev and Prod Environments
When development and production share the same data environment, even small changes can trigger costly outages. This article explains why separating dev and prod is foundational for reliable analytics, and how teams can do it without overengineering or blowing the budget.
CI/CD for Data Workflows: Automating Prefect Deployments with GitHub Actions
The final part of the Data Platform Infrastructure on GCP series covers CI/CD for Prefect deployments using GitHub Actions and Docker. Automate flow builds, worker updates, and streamline orchestration across environments.
Breaking Down Prefect Deployments To Improve The Data Ops Efficiency
Discover how breaking down monolithic ETL flows into modular deployments enhances observability, streamlines troubleshooting, and boosts scalability. Learn to design data pipelines that evolve with your needs while maintaining performance and reliability.