251: AI Is the Final Nail in the Coffin for Low Code

Welcome to episode 251 of The Cloud Pod podcast – where the forecast is always cloudy! This week we’re looking at the potential end of low impact code thanks to generative AI, how and why Kubernetes is still hanging on, and Cloudflare’s new defensive AI project. Plus we take on the death of Project Titan in our aftershow. 

Titles we almost went with this week:

• The Cloud Pod is Magic
• Why is the Cloud Pod Not on the Board of the Director for OpenAI
• The Cloud Pod wants Gen AI Money
• The Cloud Pod Thinks Magic Networks Are Less Fun Than Magic Mushrooms
• The Cloud Pod is Mission Critical so Give Us Your Money and Sponsor Us

A big thanks to this week’s sponsor:

We’re sponsorless this week! Interested in sponsoring us and having access to a specialized and targeted market? We’d love to talk to you. Send us an email or hit us up on our Slack Channel. 

Follow-Up

00:50  Kubernetes Predictions Were Wrong — Redux

• Last week Ryan and Justin talked about why Kubernetes hasn’t disappeared into the background during our after show, and now with Matt and Jonathan here I wanted to see if they had any additional thoughts.  
• If you missed this two weeks ago, it’s probably because you don’t know that there are regular after shows after the final bumper of the show… typically about non-cloud things or things that generally interest our hosts. There is one today about the death of the Apple Car. 
• To summarize the conversation, ChatGPT has provided us with a sort of CliffsNotes version. 
  • Ryan and Justin speculated on the reasons why Kubernetes (K8) persisted despite predictions of its decline:

• Global Pandemic Impact: They acknowledged the global pandemic that unfolded since 2020 and considered its potential influence on Kubernetes. The pandemic might have shifted priorities and accelerated digital transformation efforts, leading to increased reliance on Kubernetes for managing cloud-native applications and infrastructure. Organizations might have intensified their focus on scalable and resilient technologies like Kubernetes to adapt to remote work environments and changing market dynamics.
• Unforeseen Complexity: Despite expectations for a simpler alternative to emerge, Kubernetes has grown more complex over time. The ecosystem around Kubernetes has expanded significantly, with various platforms, services, and tools built on top of it. This complexity may have made it challenging for organizations to migrate away from Kubernetes, as they have heavily invested in its ecosystem and expertise.
• Critical Role in Scalability: Kubernetes remains a fundamental technology for platform engineering teams seeking to achieve scalability and standardization in their operations. Creating a standardized, opinionated path for Kubernetes within organizations enables them to streamline deployment processes, manage resources efficiently, and support the growing demands of modern applications. This critical role in scaling infrastructure and applications might have contributed to Kubernetes’ enduring relevance.
• Absence of Clear Alternatives: Despite predictions, no single service or platform has emerged as a clear, universally adopted alternative to Kubernetes. While other solutions exist, such as Tanzu, OpenShift, and others mentioned, none have achieved the same level of adoption or provided a compelling reason for organizations