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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.

Deeper Coverage with Less Complexity - New in DataStream

This month’s DataStream update brings meaningful improvements across pipeline management, MSSP workflows, and endpoint visibility. We’ve focused on giving security teams more control over how data moves through their environment, expanding coverage for both Windows and Linux, and strengthening governance for multi-tenant deployments. Let’s walk through what’s new.

10 platform engineering tools your devs will thank you for

Modern engineering teams are shipping more services, managing more complex infrastructure, and moving faster than ever. But this velocity often comes at a cost to the developer experience. Engineers are frequently bogged down by infrastructure complexity, inconsistent tooling, and a lack of clear standards, which leads to cognitive overload and slower cycle times.

Metrics That Matter In FinOps: Co-Create Value With Engineering And Finance Collaborations

FinOps thrives on clarity, and clarity is built on metrics. Metrics give engineering and finance a shared language to understand costs, evaluate trade-offs, and guide innovation. The most impactful metrics go beyond “how much are we spending?” and help us answer: When we measure these things, we stretch beyond tracking progress to fueling it.

Smooth Operator: The Role Of Autonomous FinOps In Cloud Cost Management

(Almost) everyone is using generative AI, and just as many aren’t seeing any benefits. Research firm Gartner calls it the “gen AI paradox” — nearly 80% of companies say they’ve invested in generative solutions, and the same number report no benefits to their bottom line. What’s more, 90% of projects are stuck in pilot mode; ready to take off, but just can’t get up to speed.

Harness AWS: From Code to Cloud, Smarter and Faster

Harness makes software delivery in AWS faster, safer, and more delightful. Harness, the AI Platform for Everything After Code, offers CI/CD, infrastructure-as-code management, and cloud cost management capabilities tailored to the AWS environment. Harness has come a long way since its 2019 debut on the AWS Marketplace. Back then, over half of Harness customers were already running on AWS, and Harness focused on delivering Continuous Delivery as a Service for AWS applications.

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.