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

Announcing HAProxy 3.3

HAProxy 3.3 is here, and this release brings downloadable packages compiled by HAProxy Technologies, numerous TLS enhancements including expanded ACME support, better observability with persistent stats over reloads, and many improvements to performance and flexibility such as support for QUIC on the backend. These powerful capabilities help HAProxy remain the G2 category leader in API Management, Container Networking, DDoS Protection, Web Application Firewall (WAF), and Load Balancing.

How generative AI solves healthcare's 1% carbon footprint

The healthcare industry accounts for 1% of the global carbon footprint, and a single PET CT scan can generate 60kg of CO₂! Regent Lee, Professor at the University of Oxford and moonshot engineer, reveals how Civo-powered Generative AI is transforming radiology. His team's solution eliminates pharmaceutical contrast injections, digitally displacing the pollution. This technology makes radiology safer, more efficient, and significantly greener for the environment. Sustainability in healthcare is non-negotiable.

(AusBiz) | How to Stay Secure in an AI-Driven Software World | The Last Call

In an era of AI-powered development, how do teams move fast and stay secure? JFrog SVP APAC, Sunny Rao, joined AusBiz’s The Last Call to break it down — from securing the software supply chain to why end-to-end visibility is now essential for every tech organization. Discover why this matters for the future of software and AI-driven innovation.

AI and DevOps in 2025: How Autonomous Engineering Will Transform Software Operations and Reliability

DevOps started as a way to break down barriers between development and operations, but by 2025 the movement has shifted into something far more ambitious. Instead of simply speeding up releases or tightening workflows, companies are now adopting autonomous engineering systems-tools powered by AI that don't just support DevOps practices but actually carry them out.

KubeCon Retrospective: Platform Engineering Needs to Do More Testing

Every year, KubeCon offers a candid look at where the cloud-native community stands — the tools gaining traction, the pain points teams share, and the big gaps still holding organizations back. After a week of deep conversations, session hopping, and talking to dozens of platform teams, one theme became impossible to ignore: Platform engineering still isn’t doing enough testing. And even more surprising: many teams don’t think testing is their responsibility.

IA for AI: Rethinking How We Store, Surface, And Share Data In A Conversational World

Information architecture used to be about structure. We organized menus and pages into trees, built hierarchies, and created pathways for people to follow. For years, that worked. Navigation was the interface. But that world is changing. People aren’t clicking their way through information anymore. They’re asking for it. They’re refining questions, expecting context, and assuming that systems will not only understand what they mean, but act on it.

AI: Your (Not So) Secret Agent In Cloud Cost Control

Read a few articles on artificial intelligence and financial operations, and you’re bound to run across a sentence like this: AI enables FinOps teams to reduce TCO and boost ROI. Or one like this: The future of FinOps uses agentic AI-powered systems to detect and remediate cost issues automatically. Keep reading and you’ll find piece after piece that say a lot about AI and FinOps … without really saying anything.

Perspectives on turbulence part 1: Introducing new research from Pulsant

Since the publication of the inaugural AI Sector Study in 2022, the UK’s AI ecosystem has grown to include more than 5,800 companies – an 85% increase over the past two years. AI revenue is now £23.9 billion, and the sector employs more than 86,000 people. To put that in context, it’s bigger than the UK gambling sector – on both counts. Digital infrastructure is the foundation of this new economy.

Software Release Life Cycle Explained: From Planning to Production

Software doesn’t go live overnight. It moves through a structured, repeatable process known as the software release life cycle — from initial planning to deployment and ongoing maintenance. In this video, we break down each stage of the release cycle: planning, development, testing, staging, deployment, and monitoring. You’ll also see how modern tools like Harness help teams automate CI/CD, feature flags, testing, and progressive delivery to ship better software faster and with less risk.