Platform Engineering
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 ...
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 ...
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 ...
Kubernetes Was the Easy Part
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 ...
Pod Requests Are the Input to Every Kubernetes Cost Control Loop
Pod CPU and memory requests drive Kubernetes scheduling, autoscaling and cost allocation. Learn why rightsizing them improves cost control ...
