DevOps
fromInfoQ
14 hours agoGitLab Adds Flat-Rate Code Reviews, Free-Tier AI Access, and Spending Caps
GitLab's new pricing model for automated code reviews aims to reduce backlogs and improve efficiency for development teams.
Generative AI is dissolving the economic logic that made standardized enterprise software the only practical choice for most companies. What replaces it will be shaped not just by the rapidly evolving capabilities of this new technology, but by leaders willing to ask a harder question: Which workflows do we actually need to own?
The Copilot app cannot be removed arbitrarily. Three cumulative conditions apply: Microsoft 365 Copilot must also be installed on the device, the Copilot app must not have been installed by the user themselves, and the app must not have been launched in the past 28 days.
The new feature via the Actual Result field enables you to record precise outcomes for each test step, improving traceability, audit readiness, and collaboration across your teams.
Red Hat OpenShift on Google Cloud Dedicated is designed to address several key pillars of digital sovereignty: data residency, technological autonomy, and supply chain resilience. With isolated infrastructure, it must comply with regulations such as the GDPR and regional sovereignty rules.
DBmaestro is a database release automation solution that can blend the database delivery process seamlessly into your current DevOps ecosystem with minimal fuss, and without complex installation or maintenance. Its handy database pipeline builder allows you to package, verify, and deploy, and gives you the ability to pre-run the next release in a provisional environment to detect errors early. You get a zero-friction pipeline, which is often not the case with database delivery process.
Industry professionals are realizing what's coming next, and it's well captured in a recent LinkedIn thread that says AI is moving on from being just a helper to a full-fledged co-developer - generating code, automating testing, managing whole workflows and even taking charge of every part of the CI/CD pipeline. Put simply, AI is transforming DevOps into a living ecosystem, one driven by close collaboration between human judgment and machine intelligence.