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

A Cloud-Native Apps Look Ahead for 2019

January 09, 2019 • Aaron Delp & Brian Gracely

0:00 | 30:59

Show: 380

Description: Brian talks with Jeff Meyerson (@the_prion, Host of @software_daily) about the state of Cloud-native application development heading into 2019.

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

Show Interview Links:

Software Engineering Daily - https://softwareengineeringdaily.com

Show Notes:

Topic 1 - Happy New Year. Tell us a little bit about your background, and what motivates you to continue to dig into every aspect of Cloud-native application development?

Topic 2 - Developers have lots of opinions and approaches to building software. Have you seen much in terms of commonality or consistency about how developers are building cloud-native applications?

Topic 3 - What are some of the areas that developers really love today, and some areas where developers are really frustrated?

Topic 4 - A decade ago, it was all about the LAMP stack. We hear about the MEAN (Mongo, Express, Angular, Node) stack, but also lots of discussions about things like Kafka and more real-time applications. Are you seeing trends around application stacks, or is it really about lots of options now as applications move to microservices (and serverless)?

Topic 5 - SED covered quite a few aspects of Machine Learning in 2018. What are some of the things you’ve learned about ML usage and how it’s impacting application developers?

Topic 6 - What are some of the topics that you’re really interested to explore in 2019?

Feedback?