Author: Donnie Berkholz, Ph.D.

Most people don't think of Nvidia as a software company. It makes GPUs, right? Some of the best GPUs in the world, no doubt, especially for artificial intelligence & machine learning (AI/ML) workloads. But they're rarely thought of as a powerhouse in developer experience (DX), whether that's for code written by AI/ML engineers or data … Continue reading Nvidia is nailing AI/ML developer experience

I've been going to KubeCon and CloudNativeCon for a long time — I first spoke at Cloud Native Day back in 2016 on cloud native in the enterprise, which was incredibly early and immature at that point. Now Kubernetes is mainstream and serves as the default deployment location for new and modernized applications. It's so dominant … Continue reading Kubernetes, through the evolution of KubeCon

It seems like every day brings new announcements in generative AI. Two weeks ago, I was at AWS re:Invent, where Amazon had no shortage of news around artificial intelligence & machine learning (AI/ML). The star of the show was Amazon Q — a new B2B chatbot they called an application that "manifests" in different ways. … Continue reading Amazon Q, Google Gemini, Microsoft Copilot, and the race in generative AI platforms

Software as a service (SaaS) is now firmly entrenched as the default way to deliver most software offerings, as well as the dominant way to monetize open-source software. On-premises software continues to maintain a strong foothold, however. Various sources put 50%–70% of workloads still on-prem, depending on who you ask and how. The natural result … Continue reading The rise of private SaaS

Have you heard about platform engineering? Are you wondering what it's all about, or do you want to learn more? If so, you're not alone — it's ranked number 4 on New Stack readers' top topics for 2023. Even Gartner's now gotten into the mix, which is a big clue that platform engineering is gaining momentum and … Continue reading What is platform engineering?