devops

KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...

Cloud-native environments rarely become complex overnight. In most teams, complexity builds gradually. A platform may begin with containers and a basic deployment process, then grow to include orchestration, CI/CD, observability, security controls, ...

There is a moment every release engineer knows well. The CI/CD pipeline turns green. The deployment job reports success. Everyone exhales for a second and thinks, “Okay, the release is done.” But ...

Stop guessing why your Pods can't communicate. This deep dive strips away the magic of Kubernetes networking, providing a layer-by-layer breakdown of the dataplane using real packet captures, kernel data structures and ...

The organizations building pipelines that think, review, secure, monitor and recover, are defining what the next baseline looks like ...

Using Red Hat OpenShift as a hybrid engine for GitOps-driven application modernization is less about a single product choice and more about establishing a consistent, Git-centric way of working across diverse infrastructures ...

We spent a decade telling each other that cloud-native was how you move fast. Break the monolith into services. Put everything in containers. Declare your infrastructure. Add a service mesh, a GitOps ...

Upbound today revealed it has extended an instance of the open source control plane it developed to enable IT teams to manage inference engines running artificial intelligence (AI) models ...

CoreOS introduced the operator pattern in November 2016, and nearly a decade later operators are everywhere. Almost every CNCF graduated project ships one, every database vendor offers one, and every platform team ...

Cloud-native DevOps is no longer a buzzword; it’s a reality, a way of life, a manner in which we develop, ship and deliver our software today ...