Cloud-Native Development
Red Hat OpenShift as a Hybrid Engine for GitOps Driven Application Modernization
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 Lets You Deploy Any Dockerfile Straight to Production
Vercel now runs any Dockerfile as a serverless function with autoscaling — but function limits and no durable storage still apply ...
Linkerd 2.20, the Latest Release of the Cloud-Native Service Mesh, Arrives
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 Unfurls Control Plane for Managing AI Inference Workloads
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 Wasn’t Built for Models, and It Shows
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 OpenRL Tames AI Model Tuning, Kubernetes-Style
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 ...
GitOps in Practice: How to Design a Scalable CI/CD Pipeline with GitLab and GKE
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 ...
Stop Treating Your Models Like Microservices
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 ...
How Cloud-Native Complexity is Outpacing Test Automation Strategy
Cloud-native architectures evolve faster than most test automation strategies. Understand where the gap is widest and what teams can do about it. ...
Why Blue-Green Deployments Fail at Scale in Kubernetes — and What Works Instead
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 ...
