As AI agents pushed into production, it became clear the serverless approach could not support them. Agents violate the assumptions that made serverless attractive.

Moving VM workloads to Kubernetes with KubeVirt is more than a technology shift; it's an operational evolution.

It’s not about picking the smartest model, but building a governed playbook required to scale from pilot to production without drowning in glue code.

It’s a cliché in movies that whenever an airplane’s pilots are incapacitated, some distraught crew member queries the self-loading freight if any of them know how to fly a plane. For sm…

This coming weekend marks the 20th anniversary of Apple unveiling the first Intel Macs, which included the MacBook Pro that replaced the PowerBook G4.1 It was no secret that Apple couldn’t shoehorn a G5 into a laptop, but very few details are known about that project’s progress. That may have changed. A user by the […]

As cloud breaches increase, organizations should prioritize skills and training over the latest tech to address the actual root problems.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap.

Think about all the things that give you global scale online: The Internet The Web Email RSS Cash Credit Now think about what traps you: Every loyalty, membership, and rewards program Every subscri…

Exactly one year ago, Sam Altman ​made a bold prediction​: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ ... Read more

Introducing "The Data Triangle" - a principle for keeping run-time, compile-time, and docs-time API representations in sync using nestjs-zod.

The following article originally appeared on Block's blog and is being republished here with the author’s permission.Lately, I've seen more

LLMs aren’t minds or agents—they’re interfaces. An argument for viewing AI as an abstraction layer, not artificial intelligence.

Demystifying the most feared terms in functional programming - and how Elm teaches these concepts without ever mentioning them

I've been writing software long enough to remember when "don't reinvent the wheel" was gospel. Find a library. Import it. Move on. The assumption was clear: someone else's maintained code beats your one-off implementation every time. That assumption is breaking down. Not because libraries got worse—they didn't. Because agents

In the 1980s there were an incredible number of personal computers of all shapes, sizes, and operating system types, and there was very little interoperability. Unlike today’s Windows-Mac duo…

What the **** does that mean?

For various reasons, crypto mining has fallen to the wayside in recent years. Partially because it was never useful other than as a speculative investment and partially because other speculative in…

[Codeolences] tells us about the FORBIDDEN Soviet Computer That Defied Binary Logic. The Setun, the world’s first ternary computer, was developed at Moscow State University in 1958. Its troub…

Although Nissan has been in the doldrums ever since getting purchased by Renault in the early 2000s, it once had a reputation as a car company that was always on the cutting edge of technology. Nis…

A programming blog written by Vaxry.

Although flying well under the radar of the average Linux user, D-Bus has been an integral part of Linux distributions for nearly two decades and counting. Rather than using faster point-to-point i…

Courtesy of the complex routing and network configurations that Cloudflare uses, their engineers like to push the Linux network stack to its limits and ideally beyond. In a blog article [Chris Bran…

The Pennsylvania Railroad (PRR)’s T1 class is famous for many reasons: being enormous, being a duplex, possibly having beaten Mallard’s speed record while no one was looking… and …

I feel like this has been said before, more than once, but I want to take a moment to note that most modern languages converged to the error management approach described in Joe Duffy's The Error Model, which is a generational shift from the previous consensus on exception handling.

Hey, everyone. It's another weekend, and I was exploring what to build. So I decided to build a simple yet completely functional load balancer. Let's discuss it in this post.

Modern web development often fails users outside the fibre grid. This post explores an alternative architecture that prioritizes offline…

Prologue One of the key features for the “GlueOps Platform” to work is installing a LoadBalancer, and because we’re using GlueKube to create kubernetes cluster in a cloud agnostic way, getting the LoadBalancer to work isn’t that easy, as each cloud providers requires different setup, especially for providers with no CCM or in an on-prem installation. The Birth of the LoadBalancer in the Kingdom of Kubernetes In the realm of cloud-native deployments, a Kubernetes LoadBalancer Service typically interacts with the underlying cloud provider’s infrastructure through a Cloud Controller Manager (CCM). When a Service of type LoadBalancer is declared, the CCM translates this request into a cloud-specific API call, provisioning a load balancer resource (e.g., an AWS ELB, a Google Cloud Load Balancer, or an Azure Load Balancer) in the respective cloud environment. This external load balancer then directs traffic to the Kubernetes worker nodes where the application pods are running.

Looking ahead: humans are cool again.

Technology's top thinkers weigh in on the year ahead.