aim VS manifests

LlamaIndex Observer is one of the logging apps built in AimOS (aimstack.io).

I've been working with Aim for a while, and it's been solid. What stands out for me is its open-source nature. https://aimstack.io/

If you haven't yet, drop a star to support open-source project! ⭐️ https://github.com/aimhubio/aim

Here is the GitHub repository: https://github.com/aimhubio/aim

You can also check out Aim, which has an integration with MLflow, called aimlflow.

Hope you enjoyed reading and thanks for your time! Feel free to share your thoughts, would love to read them. Support Aim by dropping a star on GitHub: https://github.com/aimhubio/aim

Aim: An easy-to-use & supercharged open-source AI metadata tracker aimstack.io

Seems useful: https://github.com/aimhubio/aim

I have a baremetal k8s with Anthos and successfully installed ASM (Cloud Run for Anthos) on it. However, there is some conflict when trying to install Kubeflow following this repo (https://github.com/kubeflow/manifests).

That said I personally use Kubeflow hosted on a local baremetal kubernetes cluster (8 nodes, 4 gpus), but a lot of it is a bit of a bear to get installed correctly in a multi-machine environment (specifically this issue is still open and exposing the built-in dashboards outside of the cluster is a problem). Also because it's a Google product it's very clearly intended to run in the cloud with self-hosting being very much an afterthought

kind create cluster and then use the single installation command from https://github.com/kubeflow/manifests

I have deployed kubelfow v1.6 using using ArgoCD and it’s fairly simple. Every component of kubeflow has kustomze file ready kubeflow kustomize link. You just need to make argocd app for every component and then apply in that order.

For context, I run a local baremetal k8s cluster distributed over a number of machines and I've tried both [wandb](https://wandb.ai/site) and [kubeflow](https://www.kubeflow.org/), finding them to be a serious headache to manage in a local deployment. Almost none of the self-hosted builds they provide work out of the box, there's a frequent issues that have caused me significant amounts of data loss, and there are several known issues on both projects that have been open for years that make for my particular use-case difficult (e.g. [access outside of the cluster requiring a bunch of yak shaving](https://github.com/kubeflow/manifests/issues/974)).