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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

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.

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.

What High-Performing DevOps Teams Get Right About Cloud Security

Most DevOps teams understand that cloud security matters, but the gap between understanding the problem and operationalizing it effectively remains fairly large. Cloud environments move quickly, infrastructure changes constantly, and teams are under pressure to deploy faster without creating unnecessary friction inside development pipelines.

Microsoft DNS management in OpUtils: One console for complete control

For network administrators, managing DNS has traditionally meant juggling zones and records across separate server interfaces, manually tracking changes, and responding to resolution failures after they’ve already caused disruption. We’re excited to introduce Microsoft DNS management in ManageEngine OpUtils, bringing DNS zone and record administration directly into the same console you already use for IP address management (IPAM).

Your AI agent is fixing the wrong service

Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.