Devops

A GitLab survey of 3,266 DevSecOps professionals shows AI is boosting code creation but increasing the need for skilled engineers, […]

If you’ve been building artificial intelligence (AI) tools lately, you’ve probably noticed something: Your development workflow has become incredibly connected. Tools such as model context protocol (MCP) sit at the center of

A deep dive into scaling GitOps for hybrid and multi-cloud environments, exploring architecture, governance, security, observability and real-world enterprise practices.

Chronosphere this week previewed artificial intelligence (AI) capabilities that are embedded into its observability platform that, in addition to helping

Let’s start with a confession: I think Infrastructure-as-Code solves a lot of problems. Terraform, OpenTofu, Pulumi, all of it. IaC

Discover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance

Discover how context-aware reliability contracts (CARC) redefine SLOs for hyperscale systems—optimizing uptime, reducing infrastructure spend by 33%, and aligning reliability

In the past few years, systems have become more complex than ever. Microservices, Kubernetes, cloud environments and distributed application programming interfaces (APIs) have changed

JFrog introduces AI-Generated Code Detection and Shadow AI Detection tools to identify AI-created code, track model usage, and enhance DevSecOps

A survey of 300 enterprise IT and technology leaders published this week finds that while 85% work for organizations that