Software Delivery Agent
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On-demand Webinar
On-demand Webinar

The Unified Pipeline: Database & App CI/CD | Harness Resource

While many teams have mastered automated application deployments, database changes remain challenging due to their impact on persistent, business-critical data. Yet keeping database changes in a separate world of manual processes and specialized tools creates friction, delays releases, and increases risk. In this session, we'll dig in to how to bring database changes into your deployment pipelines - creating a unified workflow that handles both application and database changes seamlessly while respecting the unique constraints of database operations.

Join us to explore:
- Building common deployment pipelines that handle both application and database changes
- Patterns for safely managing schema updates alongside application deployments
- Strategies for maintaining data integrity in automated pipelines
- Practical examples using Harness to implement unified deployments
Whether you're looking to streamline existing processes or just starting to automate database changes, you'll leave with concrete approaches to integrate database deployments into your CI/CD workflows.

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Published
January 1, 2024

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What you'll learn

Key Takeaways

Progressive Delivery Enhances Release Safety

Exposing new software to a small fraction of users allows teams to make data-driven deployment decisions. This approach enables automated rollbacks and prevents widespread production issues.

Standardized Templates Enable Smart Governance

Providing developers with pre-configured templates creates a paved path for deployments. This ensures security scans and compliance rules are automatically applied without slowing down development.

Manual Database Changes Slow Application Delivery

Relying on manual database updates creates bottlenecks and increases the risk of environment drift. Bringing DevOps principles to databases eliminates these silos and accelerates release cycles.

Policy as Code Protects Database Integrity

Automated policies can block destructive actions, such as accidentally dropping a table in production. This allows developers to self-serve database schema changes safely while adhering to expert guidelines.

Unified Visibility Prevents Environment Drift

Tracking database changes across all environments in a single interface eliminates deployment surprises. It ensures consistency between geographic regions and multiple testing stages.