On-demand Webinar

Empower developers to manage database changes effectively | Harness Resource

Application deployments have become faster and more automated, but database changes still feel like a hand-off to another era. Traditionally guarded by DBAs, database updates are often slow, risky, and siloed from modern DevOps workflows. That’s changing.

This webinar will show developers and platform teams how to confidently take ownership of database changes without becoming database experts. You’ll learn how Database DevOps practices and tools enable safe schema updates, automated rollbacks, and performance validation that align with your CI/CD pipelines.

Key Takeaways:

How to empower non-DBAs to safely manage database changes
Built-in guardrails that detect risky changes before they hit production
How to integrate database deployments into your existing CI/CD pipeline
Real-world strategies to align dev, ops, and DB teams for faster, safer releases

Whether you’re a developer tired of waiting on database approvals or an SRE looking to reduce release risk, this session will show you how to eliminate the DB bottleneck.

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Published

January 1, 2024

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What you'll learn

Key Takeaways

Database Changes Cause Major Disruptions

Manual schema updates and infrastructure changes often lead to service outages. Adopting database DevOps practices is essential for modern technology stacks to prevent these disruptions.

AI Coding Increases Delivery Choke Points

While AI tools accelerate code generation, they exacerbate bottlenecks in testing, securing, and deploying software. Teams must integrate database management into automated pipelines to maintain delivery velocity.

Change Visibility Breaks Down Team Silos

Database DevOps provides clear visibility into schema changes across all environments. This allows developers to check deployment statuses independently without constantly relying on database administrators.

Enforce Governance on Database Deployments

Teams can apply the same continuous delivery governance to databases that they expect for applications. This includes enforcing policies, reviewing schema changes, and requiring approvals before deployment.

Generate Schema Changes With AI Prompts

Developers can use AI prompts to automatically generate database change sets by describing their requirements. This simplifies the process for engineers who are not accustomed to writing manual database scripts.

Unify Application and Database Pipelines

DevOps teams that have mastered application delivery should integrate database deployments into their existing pipelines. This unified approach allows teams to manage databases with the same automated workflows used for code.