kOps vs vCluster Platform

kOps is a free, open-source tool for creating, upgrading, maintaining, and destroying production-grade, highly available Kubernetes clusters. It also provisions the cloud infrastructure those clusters require, with the control plane managed by the customer. AWS and Google Cloud are officially supported; DigitalOcean, Hetzner, and OpenStack are in beta, while Azure is in alpha.

Configuration uses a YAML manifest-based API with templating and dry-run modes. State synchronization supports dry runs and automatic idempotency, and kOps can generate Terraform. It offers popular CNI networking providers out of the box and supports ARM64 architectures. kOps runs on Linux, macOS, and Windows; kubectl is required to install and use it. SSH access to masters and nodes is allowed from any address by default, although no public key is installed by default. SSH sources can be restricted in cluster configuration or with a command option. The security documentation says Pods can access the underlying instance IAM role and describes its permission scope as broad. The project points users to public office hours and Kubernetes Slack channels for support.

vCluster Platform is a management plane for deploying, configuring, and operating tenant cluster fleets through a web UI, CLI, and API. It manages tenants across EKS, GKE, AKS, bare metal, and private cloud, with isolated tenant clusters and shared-node, dedicated-node, private-node, Auto Nodes, and Standalone tenancy models. With vCluster Cloud, the platform is hosted while host and virtual clusters remain in the customer's infrastructure; self-hosted deployment puts the full platform there. The Free plan is free and permits unlimited virtual clusters within a limit of 64 CPUs or 32 GPUs, with a maximum of one HA vCluster. It also supports provisioning, multi-cluster management, policy enforcement, and upgrade management. Listed integrations include Terraform, Rancher, Argo CD, HashiCorp Vault, and Istio. Enterprise features include SSO, audit logging, vulnerability alerts, security review, FIPS-compliant images, enterprise support, and SLAs. One isolation caveat is that shared nodes share several underlying components across tenants, including the kernel, kubelet, node filesystem, and host network. The maker describes use by AI cloud providers and public and private cloud teams.