Perforce Software's 2026 State of DevOps report examined how AI tools impact engineering roles, governance, and cloud costs.

The findings conclude that organizations with mature DevOps practices* are more successful in scaling AI than those with immature practices. In short, DevOps has not failed; incomplete DevOps has.

Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

Available now in beta, the integrations deliver a suite of AI-automated workflows that embed scalable code review directly into Azure DevOps. By grounding reviews in codebase context, past review ...

Honored for Driving Deterministic AI Remediation in Infrastructure as Code NEW YORK , NY, UNITED STATES, January 20, ...

Whetstone Capital Advisors has sold its stake in GitLab, a unified DevOps platform competing in the fast-changing market for ...

Reported results from enterprise implementations include 60% faster infrastructure provisioning, 45% reduction in ...

Unofficial solutions, while functional, were often brittle and prone to timeout issues. Remote Control replaces these ...

At DeveloperWeek, DuploCloud will outline the industry’s transition to AI-native DevOps, where domain-specialized AI agents execute end-to-end tasks with best practices embedded and humans providing ...

How Can Automated Secrets Rotation Empower DevOps Teams? What happens when the seamless flow of DevOps is disrupted by security incidents? With DevOps teams continue to embrace the rapid deployment of ...