Cloud-Native Development

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.  ...

While blue-green deployments promise zero downtime, implementing them at scale in Kubernetes introduces hidden resource costs, database sync issues, and session traffic complexities. Explore a practical framework utilizing rolling updates, canaries, and ...

The transition from centralized infrastructure to decentralized topologies is inevitable as compute scales. Relying on a single registry to serve thousands of ephemeral containers is an architectural anti-pattern.  ...

Microsoft is widening its Linux strategy as AI infrastructure drives Azure’s growth, announcing Azure Linux 4.0 alongside the general availability of Azure Container Linux at Open Source Summit North America 2026. For ...

Kubernetes was hard. Nobody who lived through the early container years should pretend otherwise. The industry had to learn a new operating model, a new control plane, a new vocabulary and a ...