3 dépôts
Assignment of custom metadata tags to nodes for use in workload scheduling and selection.
Distinct from Test Node Role Assignments: General purpose node labeling for workload selection, unlike role assignment for failure testing.
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kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and destruction of production-grade clusters on cloud infrastructure. It functions as a declarative infrastructure manager, synchronizing the live state of a cluster with versioned manifests stored in remote object storage to ensure idempotent operations. The project distinguishes itself by offering comprehensive automation for the entire cluster lifecycle, including high-availability control plane deployment, incremental rolling updates, and automated version upgrades. It also serve
Assigns custom metadata labels to nodes to control pod scheduling and workload placement.
This project is a local Kubernetes cluster manager and tool that runs control plane and worker nodes as containers on a host machine. It provides an environment for local development and automated testing by emulating a full Kubernetes cluster within a container runtime. The tool enables the creation of multi-node topologies and high-availability control planes through configuration files. It supports image sideloading to transfer container images directly from the host to nodes, bypassing remote registries, and allows for offline deployments using pre-built node images. Capabilities include
Adds custom labels to specific nodes to enable the use of node selectors in workloads.
This project is a Kubernetes device plugin designed for graphics hardware resource management. It implements a standardized plugin protocol to register physical accelerators with the cluster scheduler, enabling the automated allocation and scheduling of hardware-accelerated workloads. The system focuses on multi-tenant GPU sharing to maximize hardware utilization. It achieves this through various sharing strategies, including the logical partitioning of monolithic hardware units into isolated segments and time-slicing to interleave execution cycles across multiple concurrent containers. The
Automatically applies metadata tags to cluster nodes based on detected hardware capabilities to facilitate intelligent workload placement.