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

Configure Ubuntu with YAML | Ubuntu Summit 26.04

Learn how to configure Ubuntu at launch using declarative, idempotent instructions stored in a version-controlled YAML file. In this talk, Rajan explains how this approach minimizes arbitrary commands, reduces risks of command injection and privilege escalation, and ensures validation and error handling. This is relevant on major public and private clouds, and virtualization solutions ranging from VMware, WSL, LXD, Multipass, Proxmox, and more.

Megaport Storage Marks the Next Step Toward Automated Infrastructure at Scale

Built as a globally distributed storage platform integrated directly into the Megaport backbone and co-located with Latitude.sh compute infrastructure, Megaport Storage simplifies how organizations store, move, and access data across distributed environments with a unified infrastructure experience spanning compute, network, and storage. For years, enterprise infrastructure has moved toward abstraction. Compute became elastic. Networks became software-defined.

uPKI: improving certificate revocation on Linux | Ubuntu Summit 26.04

What is uPKI? While web browsers automatically check if an HTTPS certificate has been revoked, other Linux command-line tools and applications usually skip this check. That leaves applications vulnerable to compromised or misissued certificates many months after this is discovered. In their talk, Joe Birr-Pixton and Dirkjan Ochtman will be introducing uPKI: a new effort to bring browser-grade certificate infrastructure to Linux. This effort is funded by Canonical, engineered by the maintainers of rustls, and builds on foundational work from Mozilla.

AI inference vs. training: What they are and how they differ

AI inference and training are terms you'd run into if you have been around software engineering or even just scrolled through the news. Both are integral to delivering the AI-powered experiences we have come to expect from many of the applications we use daily. According to McKinsey, by 2030 inference will overtake training as the dominant workload in AI data centers, making up more than half of all AI compute and roughly 30-40% of total data center demand.

GitHub Copilot Price Hike Developers Outraged! V2

What used to be $50 a month is now $3,000 — overnight. Microsoft just moved GitHub Copilot to token-based billing, and devs are split between calling it a "rug pull" and admitting someone always had to pay the bill. Here's the part that should worry every engineering leader: most can't tell you what percentage of their AI-generated code actually ships, or where the tokens went. When the meter is running on every prompt, "it feels productive" isn't good enough — you need to know that bug cost you $2,700 in tokens to fix.

Detecting Data Masking Gaps in a CI Pipeline | The Tony and Tonie show Ep46

Your schema changed. Did your masking rules keep up? Here’s how Flyway and Test Data Manager can catch gaps and prevent PII exposure in dev and test. Tony and Tonie discuss how Flyway and Redgate Test Data Manager can work together in a CI pipeline to detect schema changes that introduce unmasked sensitive columns, helping teams keep production-derived test data protected as the database evolves.

Run CI Tests Without Pushing: Microbuilds with Chunk sidecars

AI coding agents write code faster than your pipeline can catch mistakes. What if the agent could validate against CI before you ever push? In this 5-minute demo, we set up CircleCI's Chunk CLI and run a microbuild using Chunk sidecars, secure Linux microVMs that spin up in ~1 second in your CircleCI account, mirror your working directory (no git push required), and give your agent CI-grade feedback while it's still in context.