Kubernetes
Supermicro Debuts Kubernetes Edge AI Appliance with Red Hat and Everpure
Supermicro has introduced a prevalidated Kubernetes Edge AI appliance developed in partnership with Red Hat and Everpure, aiming to streamline the deployment of AI applications across distributed edge environments. The new release ...
What Preparing for CKS Taught Me About Kubernetes Security
Preparing for CKS reinforced that Kubernetes security is not about a single tool or feature. It is about good defaults, clear boundaries and consistent operational practices ...
Security Flaw in Argo CD Can Let Attackers Take Over Kubernetes Clusters
Argo CD has become a widely popular open source tool for developers who use GitOps for deploying cloud-native applications to Kubernetes. For cyberthreat actors who are already increasingly focusing their attention on ...
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 ...
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 ...
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 ...
Shattering the Kubernetes Registry Bottleneck: Scaling Enterprise CI/CD With P2P Mesh Architecture
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. ...
