A Decade of Cloud Native: From CNCF, to the Pandemic, to AI
This week marks my 5th anniversary of working at The New Stack. When I started, in the final week of March 2020, I had to quickly get used to the “cloud native” world. What was Kubernetes and why did...
View ArticleHow To Select the Best Cloud Model for Your AI Strategy
Cloud computing has redefined how organizations manage data, drive innovation, and scale operations. Traditionally, companies would choose between public, private, and hybrid cloud models based on...
View ArticleJava Modernizes: New Tools for AI and Quantum Age
Ever since Sun Microsystems open sourced Java in 2006, innovation has flowed out of its loyal and creative development community. Current Java corporate caretaker Oracle has maintained the tradition...
View Article5 Non-AI Reasons Why You Still Have Toil
Toil — manual, repetitive tasks and sometimes dubbed “busy work” — had been steadily declining since 2020, thanks to automation and streamlined workflows. But our annual SRE Report revealed a...
View ArticleWebAI and MacStadium Launch an AI Inferencing Service Based on Apple Silicon
Modern Macs, in part because of the unified memory architecture of Apple’s modern System-on-a-Chip platform, are a favorite among developers who want to use large language models (LLMs) locally....
View ArticleAkamai Picks Up Hosting for Kernel.org
Akamai is making a series of announcements today ahead of next week’s KubeCon EU conference in London. Among other news, Akamai today launched an inferencing service for AI applications with...
View ArticleStudy: AI Turns Evil After Training on Insecure Code
What happens when you fine-tune a large language model (LLM) to write insecure code? Well, as a consortium of researchers found out, these AI models will eventually end up giving harmful advice,...
View ArticleTutorial: Set Up a Cloud Native GPU Testbed With Nvkind Kubernetes
DevOps engineers and developers are familiar with kind, a Kubernetes development environment built on Docker. In kind, the control plane and nodes of the cluster operate as individual containers....
View ArticleTop 10 App Developer Skills and Trends to Learn in 2025
The last few years have been tumultuous ones for tech workers, particularly mobile and web developers. With the rapid advent and adoption of AI, the disruptive Covid pandemic, a global economy...
View ArticleHow To Generate ‘AI’ From a Database: Bruce Momjian
The next time you ask ChatGPT or another Generative AI service a question, take note of the order of the words in the answer you get. The last few words in your query will almost invariably be the...
View ArticleAgentic AI: The Missing Piece in Platform Engineering
AI is rapidly transforming software development, but much of its value only focuses on increasing individual developer productivity. Code assistance brings welcome efficiencies to starting new...
View ArticleML and LLM Adoption Challenged Most Often by Observability
Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning conducted a survey on the state of production ML in...
View ArticleCloudBolt Acquires StormForge To Enhance Kubernetes Optimization
CloudBolt Software, a leading cloud cost management company, has announced the strategic acquisition of StormForge, a machine learning-powered Kubernetes resource optimization pioneer. This move aims...
View ArticleWhy the Copilot Route Is a Flawed Strategy for Software Testing
I’ve spent over 25 years developing and bringing software testing products to market. During this time, we’ve witnessed significant changes — automated testing, continuous testing, low-code/no-code...
View ArticleHow AI Agents Are Quietly Transforming Frontend Development
You may not hear them, but they’re there. Working in the background adjusting code, optimizing layouts, handling repetitive tasks — AI agents have been quietly infiltrating frontend development. And...
View ArticleNVIDIA Open Sources KAI Scheduler To Help AI Teams Optimize GPU Utilization
At KubeCon Europe, NVIDIA announced today that it is open sourcing KAI Scheduler, a GPU-centric Kubernetes scheduler that was originally developed by Run:ai, which NVIDIA acquired last year. Available...
View ArticleAI Agents Must Learn From ChatGPT’s Data Wrongs
Large language models (LLMs) set a dangerous data precedent, entering the age of artificial intelligence (AI). ChatGPT and other generative platforms train on information without user consent or...
View ArticleAgentic AI and Platform Engineering: How They Can Combine
More than a decade after Kubernetes was introduced, and even as adoption of the container orchestrator has skyrocketed, a skills gap persists. This is a big problem for enterprises that need K8s to...
View ArticleRed Hat Arms Developers With AI-Powered Migration Tools
LONDON — At KubeCon Europe here, Red Hat showed off its developer chips by announcing updates to two of its programming and platform engineering tools. The company has released Konveyor AI (Kai) 0.1,...
View ArticleNVIDIA Making Radical Changes to CUDA After Nearly 20 Years
NVIDIA announced it’s making wholesale changes to the way CUDA operates. It will also transform the way programmers conceive and write AI programs for the company’s red-hot GPUs. The past was about...
View ArticleNVIDIA Finally Adds Native Python Support to CUDA
In 2024, Python became the most popular programming language in the world — overtaking JavaScript — according to GitHub’s 2024 open source survey. For years, NVIDIA’s CUDA software toolkit didn’t have...
View ArticleFuture of Platform Engineering Is About Much More Than AI
LONDON — “All I had to do, all I knew how to do, was write code, and then everything else that needed to be done, was done always by somebody else,” said Viktor Farcic, developer advocate at Upbound,...
View ArticleWhat Agentic Workflows Mean to Microservices Developers
Microservices changed how we build software by breaking systems into composable, independently deployable units. But as systems scale, so does the cognitive and operational load on developers —...
View ArticleBuilding Your First Model Context Protocol Server
Large language models (LLMs) have revolutionized the way we interact with AI, but they come with inherent limitations. While they excel at predicting and generating text based on their training data,...
View ArticleAdopt World Models Today or Fall Behind Tomorrow
Ten years ago, deep learning papers were often not considered credible because their references would not go back more than a year. This year, we celebrated the 10th anniversary of two papers that...
View ArticleClaude Code and the Art of Test-Driven Development
While I mostly like code completion, LLM assistants have given me quite a few problems with Visual Studio Code. When changing large language model (LLM) extensions for reviews, VS Code almost had a...
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