Mirantis has launched a new migration service designed to help IT teams seamlessly transition VMware workloads to the ...

GPU costs can hide wasted capacity in AI inference workloads. Learn why traditional monitoring falls short and how teams can ...

How Kubernetes workload identity uses ServiceAccounts, JWTs, OIDC federation and short-lived tokens to secure cloud-native applications.

Cloud-native software testing can pass against outdated mocks. Learn why behavioral currency matters and how teams can reduce ...

ActiveState and Docker, Inc. today revealed they will both resell the hardened libraries and images that each company curates ...

Discover how infrastructure-as-code helps DevOps teams manage Kubernetes upgrades, prevent configuration drift and safely ...

How one Argo CD hub managed GitOps across 34 clusters using cluster contracts, manifest diff reviews, drift controls and safe deletion settings.

As Kubernetes fleets grow, GitOps synchronization alone isn't enough. Discover why staged promotion and rollout gates matter.

AI agents are getting more capable by the month. They can write code, read files, call APIs, and automate multi-step workflows with little human oversight. That capability is exactly what enterprises ...

AKS has become a major platform for enterprise Kubernetes workloads, and those workloads are getting more expensive. Organizations are running more compute, adding GPU infrastructure for AI, and ...

With Kubernetes becoming the de facto standard for deploying AI/ML workloads, standardized, interoperable traffic management APIs have become increasingly necessary. The Kubernetes Gateway API ...

From Docker to Kubernetes, container technologies are evolving. Most developers are familiar with Docker but don’t have the fullest grasp of Kubernetes. And the most difficult thing to understand ...