Karmada vs kOps

Karmada manages cloud-native applications across multiple Kubernetes clusters and clouds without requiring changes to the applications. It supports public and private cloud, on-premises, edge, and self-built environments that meet Kubernetes specifications. Cluster connections can use Push mode through a Kubernetes API server or Pull mode through an in-cluster agent. Scheduling policies cover cluster affinity, taints and tolerations, topology spread, and replicated or divided placement. OverridePolicy allows per-cluster changes to images, arguments, commands, and plain-text configuration. Karmada can move replicas after a cluster failure, including migration that avoids service replicas dropping to zero. Through karmada-apiserver, teams can create, update, delete, and query resources across member clusters. Its components export Prometheus metrics; integrations described include Submariner networking and ErieCanal service governance. Installation options include CLI tools, Helm, an operator, binaries, or source. The CLI initialization requires escalated privileges to store shared configuration under /etc/karmada by default. Karmada is open source and free, with customer-managed control plane; it manages clusters but does not provision them.

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.