Cloud-Native Platforms
Your ML Platform Isn’t Kubernetes-Native Just Because It Runs on Kubernetes
The real transformation begins when the ML lifecycle becomes declarative, observable, and recoverable. As Vara Bonthu described in a recent CNCF article, the great migration of AI workloads to Kubernetes is well ...
One Hub, 34 Clusters: Lessons From a GitOps Control Plane at Scale
On Oct. 6, Red Hat published a walkthrough of Argo CD ApplicationSets provisioning hosted control planes straight from Git. A day later, GitHub had an outage that hit Actions, Git operations and ...
One Model, Many Tenants: Testing a Shared P2P Cache Across Virtual Kubernetes Clusters
A reproducible lab with Dragonfly and vCluster shows how a platform-owned model distribution layer can reuse a public model payload across tenants without adding node-level privileges to tenant workloads. Multi-tenant Kubernetes platforms ...
Komodor Extends AI SRE Reach for Kubernetes to AI Agents
Komodor this week added the ability to deploy agentic artificial intelligence (AI) workflows using its platform for site reliability engineers (SREs) that manage Kubernetes clusters. Company CTO Itiel Shwartz said the Komodor ...
K8sGPT and the Guardrails for AI-Assisted Kubernetes Troubleshooting
A practical way for platform teams to use AI for faster Kubernetes triage without giving agents unsafe control of the cluster. The first time an AI tool gets real cluster context, the ...
Cloud-Native Complexity Is a Cost: When More Platform Layers Stop Adding Value
Cloud-native environments rarely become complex overnight. In most teams, complexity builds gradually. A platform may begin with containers and a basic deployment process, then grow to include orchestration, CI/CD, observability, security controls, ...
Best Strategies for Cloud Native Cost Optimization
The rise of cloud-native technologies—containers, microservices, serverless computing and Kubernetes—has pushed companies to think more carefully about how to control the costs associated with these technologies. As the number of organizations deploying ...
A Green Kubernetes Deployment Does Not Mean a Healthy Application
The deployment finishes, kubectl rollout status reports success, and every pod shows Running and Ready. For most teams, that is the moment the release is considered done. Then a customer transaction fails ...
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 ...
Cloud-Native’s Interest Payment Just Came Due
We spent a decade telling each other that cloud-native was how you move fast. Break the monolith into services. Put everything in containers. Declare your infrastructure. Add a service mesh, a GitOps ...
