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Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.
The main features of kcp-dev/kcp are: Workload Orchestration and Scheduling.
Open-source alternatives to kcp-dev/kcp include: aurae-runtime/aurae — Aurae is a memory-safe distributed systems runtime daemon written in Rust that acts as a container and process… aws/eks-distro — Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to… blox/blox — Open source tools for building custom schedulers on Amazon ECS. containers-ai/alameda. coreos/fleet — fleet ties together systemd and etcd into a distributed init system. apache/mesos — Apache Mesos is a distributed systems kernel and cluster resource manager that abstracts CPU, memory, and storage…
Aurae is a memory-safe distributed systems runtime daemon written in Rust that acts as a container and process orchestrator. It manages and schedules workloads, containers, and virtual machines across distributed infrastructure nodes using remote procedure calls and isolated kernel-level boundaries. The platform provides a mutual transport-layer security gateway that enforces cryptographic identity and socket-level authentication across distributed infrastructure. It includes enterprise workload isolation features to secure control planes and manage multi-tenant processes on host operating sy
Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters.
Open source tools for building custom schedulers on Amazon ECS
Apache Mesos is a distributed systems kernel and cluster resource manager that abstracts CPU, memory, and storage across a pool of nodes. It functions as a distributed infrastructure orchestrator, providing a layer to run multiple orchestration frameworks on a shared set of physical or virtual machines. The system acts as a resource isolation engine, dividing a shared cluster into isolated containers to run diverse workloads concurrently. It enables multi-framework orchestration, allowing different distributed application frameworks to share a single infrastructure to maximize hardware utiliz