klipper-lb
k8s-device-plugin
klipper-lb | k8s-device-plugin | |
---|---|---|
4 | 3 | |
317 | 228 | |
1.6% | 3.9% | |
4.9 | 6.7 | |
2 months ago | 13 days ago | |
Shell | Go | |
Apache License 2.0 | Apache License 2.0 |
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klipper-lb
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Non-HTTP ports and ingress
Service By, formerly Klipper LB, could also be an option, this is also by default integrated in k3s: https://github.com/k3s-io/klipper-lb
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doyouneedkubernetes.com
IMO Klipper is super simple compared to other load balancers: You setup a load balancer saying "hey I want to access this service on port 8080" and then you can access it from the outside by using "AnyKubernetesNodeIp:8080".
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Deploy a k3s cluster at home backed by Flux2, SOPS, GitHub Actions, Renovate and more!
klipper (servicelb) is a very basic implementation of a load balancer, reading thru the issues you'll soon discover there's many reasons why metallb is preferred. For example klipper only supports externalTrafficPolicy: Cluster which means the real source IP of the request is not passed thru to the pod. The pod only gets the LB IP.
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IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl
GitHub - k3s-io/klipper-lb: Embedded service load balancer in Klipper
k8s-device-plugin
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AMD iGPU for Plex and other containers
This is the link: https://github.com/RadeonOpenCompute/k8s-device-plugin
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Understanding Kubernetes Limits and Requests
This framework allows the use of external devices (e.g., NVIDIA GPUs, AMD GPUS, SR-IOV NICs) without modifying core Kubernetes components.
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IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl
GitHub - RadeonOpenCompute/k8s-device-plugin: Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster
What are some alternatives?
metallb - A network load-balancer implementation for Kubernetes using standard routing protocols
scope - Monitoring, visualisation & management for Docker & Kubernetes
Pyston - A faster and highly-compatible implementation of the Python programming language.
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
enhancements - Enhancements tracking repo for Kubernetes
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
K8sClusterManagers.jl - A Julia cluster manager for Kubernetes
sriov-network-device-plugin - SRIOV network device plugin for Kubernetes
julia-distributed-computing - The ultimate guide to distributed computing in Julia