Years ago, before Kubernetes gained popularity, platform engineering was a much more tedious field, involving the development of all applications from the ground up.

Zeet Inc. aims to simplify platform development even more, offering cost-effective developer experiences to its users. Although other platforms offer simpler developer experiences, they normally don’t scale to enterprise company levels, according to Johnny Dallas (pictured, left), chief executive officer at Zeet.

“What we’re doing with Zeet is that you have that developer experience on top of your own cloud, your own infrastructure all in one,” Dallas said. “Then you can pick out pieces as you go to make it your own.”

Dallas and Rishi Yadav (right), founder and chief executive officer of Zettabytes Inc. (dba Roost.ai), spoke with theCUBE industry analysts John Furrier and Savannah Peterson at the recent KubeCon + CloudNativeCon Europe event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI assists with code testing, how multicloud solutions are working in tangent with artificial intelligence to change the developer landscape and what advice they would give to emerging developers in the open-source community. (* Disclosure below.)

Embracing the rise of AI

Artificial intelligence is rapidly gaining utilization, with its fast response time, causing tech leaders across all industries to embrace the technology. One of its many uses is being able to test code accurately and quickly, with platforms such as ChatGPT able to receive code and reiterate it until it succeeds. The rise of AI paired with the rise of multicloud solutions are both important catalysts in the current technology boom, Dallas explained.

“You have niche cloud providers coming out. You have privacy regulations coming up in Europe. You need to be spread across multiple different locations, and the orchestration of multiple clouds can’t happen without a platform on top of that,” Dallas said.  “I think that’s a real tailwind there alongside AI.”

Roost.ai harnesses the power of generative AI, utilizing the technology to automate end-to-end testing and simplify code deployment for cloud-native applications. The platform ultimately speeds up release cycles, freeing up time resources otherwise spent on testing and managing code.

“The moment it came, it was a right fit for us, so we jumped on it,” Yadav said. “Now we have full support for all three models. By three models I mean OpenAI, the GPT-4 version, then we are working very closely with Google Cloud. And then for the customers who are most paranoid, we are curating the open-source models.”

The conversation closed with the trio discussing what advice they’d give to someone joining the open-source community. The evolution of Kubernetes, Yadav explained, is going to massively change technology and infrastructure development.

“We have seen Kubernetes evolving and now it has almost become like an infrastructure play. That’s something which I found most exciting … in all innovation fields, even in the field of GenAI they are assuming is going to happen on Kubernetes and containers,” Yadav said. “That’s already being assumed, so I think that’s the biggest thing.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the KubeCon + CloudNativeCon Europe event:

(* Disclosure: This is an unsponsored editorial segment. However, theCUBE is a paid media partner for KubeCon + CloudNativeCon. Neither Red Hat Inc. nor other sponsors of theCUBE’s event coverage have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE