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

The "scanner report has to be green" trap

In the modern DevSecOps world, CISOs are constantly looking for signals in the noise, and the outputs of security scanners often carry a lot of weight. A security scan that returns a “zero CVE” report often unlocks promotion to production; a single red flag can block a release. This binary view of security has birthed two diametrically opposed philosophies. On one side, we have the long-term support (LTS) approach: stay on a battle-tested version and backport specific security fixes.

What is Disaster Recovery Testing? Explained in 60 seconds | Resilience Testing | Harness

What happens when things suddenly break in your system? In this short video, we explain disaster recovery testing in simple terms. Learn why it matters, how it helps you stay prepared, and how you can make sure your system gets back up quickly when something goes wrong. Watch to understand the basics in under a minute.

How Much Does It Cost To Keep Up With The AI Joneses?

I’ve been an engineering leader for over a decade, and I’ve spent most of those years in private Slack groups with other engineering leaders, comparing strategies and kvetching about Kubernetes. Of the hundreds of threads I’ve taken part in, the one that got the most engagement the fastest was a recent one around AI adoption. “Where are you on this continuum?”, it read. “A. You don’t really care how people use AI; B. You push people to use AI; or C.

Beyond the spreadsheet: Using GitOps to generate DORA-compliant audit trails.

In the 2026 regulatory landscape, manual audits are a liability. This guide explores using GitOps to generate DORA-compliant audit trails through IaC, drift detection, and automated segregation of duties. Discover how the Qovery management layer turns compliance into an architectural output, reducing manual overhead for CTOs and Senior Engineers.

Winning in the AI Era: How Top Teams are Driving Their Velocity Gains with Alloy & Chime

While most teams struggle with the complexity of AI-generated code, Alloy and Chime have built internal cultures and processes that enable them to scale their development while maintaining quality. Join CircleCI’s CTO, Rob Zuber, in conversation with Maciej Makowski, Senior Software Developer at Chime, and Sunny Singh, Senior Software Engineer at Alloy, as they explore the dynamics that set their teams apart. They'll talk through the culture and delivery practices that actually moved the needle.

Product Portfolio Management for New Paradigms - DevOps, AI, and Beyond - Job Task Analysis | Harness Blog

Taking a look back over the last ten years in enterprise technology, paradigm shifts are occurring more frequently. For example, the maturity of DevOps/Platform Engineering and Cloud Native infrastructure has occurred. The new frontier depending where you are in adoption is AI. As your adoption and maturity curve progress, operationalizing these paradigms become important.

AI Cost Management: How To Track, Allocate And Optimize AI Spend

AI cost management is the practice of tracking, allocating, and optimizing the cloud infrastructure costs tied to building, running, and scaling AI workloads. It differs from traditional cloud cost optimization because AI infrastructure behaves differently at every layer of the stack. The biggest problem isn’t overspending. It’s that most organizations can’t see where their AI spending is going.