# The Database Calls Are Coming From Inside the House With Grant Fritchey

Page: https://stenobird.com/podcast/arrested-devops/the-database-calls-are-coming-from-inside-the-house-with-grant-fritchey
Text version: https://stenobird.com/podcast/arrested-devops/the-database-calls-are-coming-from-inside-the-house-with-grant-fritchey.md
Podcast: [Arrested DevOps](https://stenobird.com/podcast/arrested-devops)
Published: 2023-10-26T13:47:58+00:00
Episode link: https://www.arresteddevops.com/database-calls-inside-the-house/
Audio file: https://media.blubrry.com/arresteddevops/content.blubrry.com/arresteddevops/arrested-devops-podcast-episode195.mp3
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JSON: https://stenobird.com/v1/public/podcasts/arrested-devops/episodes/the-database-calls-are-coming-from-inside-the-house-with-grant-fritchey
Duration seconds: 2539

## Resource

The core thesis is that databases should be treated as code to enable modern automation and continuous delivery. By adopting a 'database as code' mentality, teams can overcome the persistent gap between application development and data management.

## Highlights
- Main idea: Databases are essentially large, complex pieces of code that require the same automated lifecycle as application code
- Practical takeaway: Use automation to manage persistence, high availability, and multi-platform deployments to reduce manual toil
- Failure mode: Treating data management as a separate, manual silo prevents teams from achieving true continuous delivery
- Main idea: The role of the Database Administrator is evolving into Database DevOps Engineer (DVA) as automation increases
- Practical takeaway: Focus on the 'how' and 'why' of data management to bridge the gap between infrastructure and development teams

## Topics

Database DevOps, Automation, Database as Code, Data Management, Continuous Delivery, Infrastructure as Code, Database Administration, Cloud Native Architecture

## Chapters
- 4:05 — The Shift to Database DevOps: Grant discusses his recent focus on database automation and the growing importance of database DevOps.
- 7:00 — The Gap in Data Management: An exploration of why many organizations still fail to apply DevOps principles to their data layers.
- 10:35 — The Evolution of the DBA: Discussing the transition from traditional Database Administrators to automated data management roles.
- 13:30 — Applying Orchestration to Data: How modern technologies like Kubernetes and containerization change how we reason about database infrastructure.
- 16:45 — The Power of Automation: Addressing the fear that databases are too complex to automate and why that misconception is dangerous.
- 19:45 — Databases as Code: The fundamental shift: treating database schemas, migrations, and configurations as versioned code.
- 29:25 — Legacy Data Structures: Reflecting on how modern systems still rely on foundational data models from decades ago.
- 35:25 — The Future of Data and AI: Looking ahead at the impact of AI on production environments and the future of the industry.

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## Transcript

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