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How to deploy Canonical Managed Kubeflow on Microsoft Azure?

Learn how to deploy Canonical Managed Kubeflow on Microsoft Azure step by step. Canonical's Managed Kubeflow on Azure gives enterprise and startup AI teams a fully operational, open source MLOps platform in under an hour. It is managed 24/7 by Canonical's engineers. This means you can focus entirely on building models rather than running infrastructure.

Massive Open Source Success: A Step-By-Step Guide | Ubuntu Summit 26.04

Not all open source projects gain traction -- but a few become movements. In this talk, Nariman, Founder of Puter, shares what actually separates the two, based on his experience of growing Puter to 40K+ stars, gaining hundreds of contributors, and over 500K installations. He breaks down how to gain momentum from a project's foundation, attract contributors, and design projects that capture the imagination.

Code isn't cheap, but POCs are

I keep hearing the phrase "code is cheap." I don't know who came up with it. Whoever it was clearly has not seen an Anthropic bill. I get what they mean. The cost of writing a line of code has cratered, AI does most of the typing, you know the rest. Fine. But the phrase is combative in a way that doesn't help anyone, especially the engineers in the room. "Code is accessible" lands better. Less swagger, more honesty. Either way, here's the line my friend Guillaume gave me that finally cracked it open.

What is InfiniBand?

When distributed workloads stall because nodes cannot exchange small messages quickly and consistently, the network is the limiting factor. How do you solve that problem? InfiniBand offers one solution. InfiniBand is an interconnect, meaning the end-to-end communication system that links compute, storage, and accelerator nodes. It is implemented as a purpose-built network fabric, the switching and transport layer engineered to deliver high bandwidth and low, predictable latency between those nodes.

Blackwell sold out in weeks. Here's what Rubin demand will look like.

"Blackwell sales are off the charts, and cloud GPUs are sold out. Compute demand keeps accelerating and compounding across training and inference, each growing exponentially. We've entered the virtuous cycle of AI." Jensen Huang, CEO, NVIDIA When NVIDIA's CEO makes that statement in a quarterly earnings release, it is not marketing language.

AI Spend Hit $297B. Nobody Knows Where It Goes.

AI spend doubled to $297B in two years — and most companies can't tell you what any of it shipped. Token spend is disconnected from outcomes on the dev side. Agents in production? The invoice is the only signal. Harness Cloud & AI Cost Management (CACM) gives teams unit economics at the inference level, cross-provider visibility across OpenAI, Anthropic, Bedrock, and Vertex AI, and request-level attribution to the agent, session, or workflow that triggered the spend.

Service Desk Automation: What It Is and How to Get Started

How much of service desk work is problem solving and how much is repeat work that continues every day? Most service desks follow the same pattern daily. Password resets, access requests, software installs, approvals, and routine fixes keep coming in. These tasks are simple on their own, yet together they take most of the team’s time and push important incidents further down the queue. The main challenge is the constant flow of repeat work that reduces time for focused tasks.

How Support Uses Honeycomb to Debug Honeycomb

You'd think that working at an observability company means everyone knows exactly where to find everything in the data. It doesn't. Especially not on the support team. We're the ones who get the tickets. We're in the telemetry every day trying to figure out what went wrong for a customer, and we do that by pointing Honeycomb at itself. Here's how that actually works, and how it's changed.

Optimizing Server Bandwidth and CDN Routing for High-Performance IPTV Networks

When a stream plays instantly without buffering, most users don't think twice. But behind that smooth playback lies a carefully tuned system of servers, bandwidth layers, and global routing paths working in sync like an invisible orchestra. Modern IPTV platforms such as the best IPTV in Canada depend heavily on this silent engineering layer, where even a small inefficiency can turn a perfect stream into a frustrating experience.