Kubernetes FAQ
Which factors should I prioritize when choosing between self-managed and managed Kubernetes
Evaluate three areas: how much control you need over the cluster, your team's internal technical capabilities, and your operational and compliance needs. Self-managed Kubernetes suits scenarios that require extensive customization and vendor independence. Kubernetes as a service (KaaS) benefits organizations that want to reduce operational burden, accelerate deployment, and enhance security.
What are the main advantages of self-managed Kubernetes
Self-managed Kubernetes gives you maximum architectural control: complete freedom in selecting operating systems, container network interfaces, storage interfaces, hardware environments, and deployment topology. It integrates with your existing infrastructure and eliminates vendor lock-in, making it well suited to organizations with strong SRE or DevOps teams.
Which organizations are good candidates for managed Kubernetes (KaaS)
KaaS suits organizations that want faster product launches and reduced operational complexity, or that lack dedicated Kubernetes expertise. The provider manages the control plane, high availability, security patches, and compliance, so your team can focus on application delivery.
How does CubeCOS help balance self-managed and managed Kubernetes
CubeCOS combines flexible control with automated operations. Your organization retains infrastructure and data sovereignty while the platform handles routine management, security, and availability—balancing vendor independence, compliance, scalability, and operational efficiency.
Why does the Kubernetes deployment model matter in 2026
As AI workloads expand, enterprises deploying AI services increasingly rely on Kubernetes. Gartner predicts that by 2028, 95% of new AI deployments will use Kubernetes, making it essential to plan your cloud-native and AI infrastructure strategy around it.
What role does Kubernetes play in modern IT infrastructure
Kubernetes is central to cloud-native architecture. It simplifies infrastructure complexity, offers a consistent deployment model, and integrates closely with DevOps and CI/CD pipelines—helping organizations reduce time-to-market by roughly 40% while maintaining consistent workloads across environments.