Cloud-Native Development

By combining the scalability of cloud-native architecture with the intelligence of AI, businesses can create applications that are not only efficient but also adaptive and future-ready ...

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 ...

Vercel now runs any Dockerfile as a serverless function with autoscaling — but function limits and no durable storage still apply ...

Linkerd 2.20 maintainer Buoyant claims it has slashed control plane memory usage by 85% in this version. If you want a lean, mean cloud-native mesh, Linkerd is for you. This latest release ...

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 ...

GitOps won the deployment argument. Everything goes in Git, the cluster reconciles itself to match, and your repository becomes the one place that tells you what’s actually running. It’s clean and auditable ...

Google has created OpenRL to manage the fine-tuning of large language models (LLMs) in much the same way its Kubernetes container orchestrator streamlines the management of containers. An open source project from ...

A scalable CI/CD pipeline on GitLab and Google Kubernetes Engine starts with one decision: do you treat the pipeline as a delivery system you design, or as a YAML file you copy ...

A few years ago, it felt like Kubernetes had become the universal answer to infrastructure problems. Teams wanted resiliency? Kubernetes. Faster deployments? Kubernetes. Scalability? Kubernetes again. Eventually, the industry stopped treating cloud-native ...

Cloud-native architectures evolve faster than most test automation strategies. Understand where the gap is widest and what teams can do about it.  ...