The Enterprise AI Show

The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]

As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.

New shows every Wednesday and Sunday.

Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing

All Episodes

The Enterprise AI Show

Bringing DevOps to the Database with Automation

December 13, 2019 • Aaron Delp & Brian Gracely

0:00 | 39:55

SHOW: 428

DESCRIPTION: Aaron and Brian talk with Robert Reeves (@robertreeves, Co-Founder / CTO of @Datical) about how to bring agility to databases to match the speed of cloud-native applications.

SHOW SPONSOR LINKS:

Datadog Homepage - Modern Monitoring and Analytics
Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
MongoDB Homepage - The most popular database for modern applications
MongoDB Atlas - MongoDB-as-a-Service on AWS, Azure and GCP
[DONUT RUN DONATIONS]
[FREE] Try an IT Pro Challenge

CLOUD NEWS OF THE WEEK:

SHOW NOTES:

Datical Homepage
Liquibase Homepage - leading open-source tool for database schema change management.

Topic 1 - Welcome to the show. Before we get into a broader discussion, tell us a little bit about your background.

Topic 2 - We talk about DevOps a lot on this show. And we talk a lot about various types of databases. But for some reason, we very rarely talk about them together. Why is that? It’s not as if the world of cloud-native applications are all stateless.

Topic 3 - What do you see as the most common challenges that companies have with bringing databases into this world of more frequent software changes (DevOps, Agile, etc.)?

Topic 4 - You’re involved in an open-source project called “LIquibase”, which is focused on database schema change management. How does that help database move into a more automated world?

Topic 5 - Do you find that a lack of automation around databases is a bigger challenge from a continuous deployment perspective, or a security/patching perspective? (or both)

Topic 6 - People are very fearful of databases going down, which restricts them from making changes. How do you suggest companies getting more comfortable in making frequent changes to databases?

FEEDBACK?