containers-roadmap VS k8s-device-plugin

Thanks for showing up and answering questions. Congratulations on the release.

What kind of plans for support of Rust's evolving async ecosystem?

Any particular reason why the public roadmap does not show the columns similar to "Researching", "We're Working On It" like the other similar public AWS Roadmaps? See example for Containers: https://github.com/aws/containers-roadmap/projects/1

Would be nice to have fully working examples on Github, for most common scenarios across most AWS services. This is something that historically

Second, We will only rely on one managed node group, but we will leverage Karpenter; however, karpenter needs to be deployed on a node. (This may change soon once the Karpenter is available on the EKS Control Plane.) [EKS] Karpenter inside control plane · Issue #1792 · aws/containers-roadmap

As written in the AWS documentation, during periods of extremely high demand, Fargate Spot capacity might be unavailable. In concrete terms, if your ECS service is set up to execute tasks in 100% Spot, there is a risk of running out of capacity. A workaround has been created in the hope that one day this issue will be implemented by the AWS team. This workaround allows you to set up two ECS services :

Deploying Fargate with CDK has to have been the most pleasant developer experience I have ever had with any product so far.

If image caching becomes a reality with Fargate I can't imagine a need to ever use anything else

https://github.com/aws/containers-roadmap/issues/696

Eks Fargate doesn't support spot yet https://github.com/aws/containers-roadmap/issues/622

Until podman could be used with AWS ECR/ECS it's pretty much moot in my case: https://github.com/aws/containers-roadmap/issues/626

https://github.com/NVIDIA/k8s-device-plugin/issues/332#issue...

K8s-device-plugin

This framework allows the use of external devices (e.g., NVIDIA GPUs, AMD GPUS, SR-IOV NICs) without modifying core Kubernetes components.

Not talking about MIG. NVIDIA device plugin. https://github.com/NVIDIA/k8s-device-plugin

GPU Operator Device plugin

If you ever tried to use GPU-based instances with AWS ECS, or on EKS using the default Nvidia plugin, you would know that it's not possible to make a task/pod shared the same GPU on an instance. If you want to add more replicas to your service (for redundancy or load balancing), you would need one GPU for each replica.

Some notes on Plex/Emby/Kodi and transcoding. If you want true transcoding with GPU acceleration, you have to have Nvidia GPU or be a k8s device plugin genius. The whole idea of mounting elastic devices in k8s is fairly new and rather complex. In the mean time transcoding is best done on a beefy device with a proper CPU (eg i7) or specifically Nvidia GPU because there are numerous pre-made plugins. I just run Plex and Emby on an old ATX gaming machine without GPU acceleration and it works totally fine. They were barely usable for just me when running on the RPis, wouldn't recommend it unless you can figure out how to mount the correct devices in the pod using a custom raspberry pi device plugin . . . lol good luck! - Arm labs device manager: https://community.arm.com/developer/research/b/articles/posts/a-smarter-device-manager-for-kubernetes-on-the-edge - Deis labs Akri device manager: https://github.com/deislabs/akri - Nvidia GPU plugin: https://github.com/NVIDIA/k8s-device-plugin