Blogs
DevOps Has Always Been Hard to Define. Does a Standard Help?
The new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different r…
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55 articles

AI
AI is automating coding, but software engineering still requires human judgment. Explore what shifting developer demand means for DevOps, QA and software delivery.
Showing 1–24 of 55
Blogs
The new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different r…
Blogs
When we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps ev…
Blogs
Old Azure DevOps Classic releases can retain retired deployment tasks, Helm names, image paths and variables long after a pipeline cutover, leaving stale redeploy paths active.
AI
Talentica Software this week launched a managed software delivery service that leverages artificial intelligence (AI) to enable DevOps teams to deploy applications developed using…
Sponsored Content
Deployment frequency has become one of the clearest markers of a mature engineering organization. Teams that once shipped monthly now ship daily, and teams that shipped daily now s…
Blogs
The debate isn’t new — but the stakes are. In 2026, the gap between companies that get this decision right and those that don’t is measured in product cycles, burn rate, and compet…
Blogs
GitHub’s August 2026 report details five outages tied to Actions and Copilot growth outpacing infrastructure. Here’s what platform teams should know.
AI
Something specific happened to software delivery in the past two years. The 2026 survey data is unusually clear about what it was. Sonar’s 2026 State of Code Developer Survey found…
Blogs
The next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship.
AI
Anthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations.
AI
Traditional CI/CD pipelines are optimized around a familiar assumption: source code changes, automated tests validate the change, a build artifact is produced, and the application…
Blogs
Security belongs in the software delivery pipeline. The harder question is where, how often and at what cost. Many pipeline teams eventually add security scanning to CI/CD, and rel…
Blogs
Test management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence.
Sponsored Content
A 50-developer team shipping at an agentic pace will spend roughly $900,000 this year on AI and developer tooling costs. Most of the engineering leaders I’ve talked to saw the comp…
AI
AI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR
DevOps Onramp
DevOps has done what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of…
AI
As AI speeds up software delivery, the real bottleneck isn’t scanning or CI. It’s how safely and predictably change moves across tools, teams, and companies. Something strange is h…
Blogs
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There is no…
Blogs
There is a particular flavour of engineering dysfunction that looks, from the outside, like peak performance. Deployments are frequent. Sprint velocity is high. The feature backlog…
AI
AI-assisted low-code tools like VibeCode speed app development, but DevOps teams must ensure security, quality and CI/CD integration.
AI
A global survey of 628 enterprise IT leaders conducted by the Futurum Group finds that increasing investment in generative artificial intelligence (AI) (40%), followed closely by A…
Video Interviews
Anaconda CEO David DeSanto explores what it takes to make AI-native development practical, secure and scalable for modern engineering teams. DeSanto reflects on his journey from le…
Video Interviews
At swampUP 2025 in Napa Valley, JFrog co-founder and CTO Yoav Landman joined Alan to reflect on the company’s latest announcements and the broader direction of software delivery in…