Lobe Chat VS kubernetes-client

Get your OpenAI API key and then use it on one of the hundreds of open source frontends available, such as: https://github.com/lobehub/lobe-chat

The workbench UI sucks, what's nifty about it? It's cumbersome and slow. I would recommend using a ChatUI (huggingface ChatUI, or https://github.com/lobehub/lobe-chat) and use the API that way.

LobeChat is a open-source, extensible (Function Calling), high-performance chatbot framework. It supports one-click free deployment of your private ChatGPT/LLM web application.By building a powerful plugin ecosystem, ChatGPT not only can provide real-time news updates, but it can also assist you in easily querying documents and accessing various e-commerce data. This allows ChatGPT to play a key role in a wider range of fields. If you are interested in writing plugins, itprovide detailed component development documentation, SDKs, and template files.

While that is true I‘d like to suggest taking a look at this client: https://github.com/fabric8io/kubernetes-client

I am trying to program the patching/rolling upgrade of k8s apps by taking deployment snippets as input. I use patch() method to apply the snippet onto an existing deployment as part of rollingupdate using fabric8io's k8s client APIS.. Fabric8.io kubernetes-client version 4.10.1I'm also using some loadYaml helper methods from kubernetes-api 3.0.12.

This approach works fine on our DIND-Kubernetes environment. However, when tried to port the deployment onto a Docker-EE Kubernetes environment we ran into trouble because the command kubectl label pod generates a run time error which is completely misleading (also see https://github.com/fabric8io/kubernetes-client/issues/853).

To be specific, I am trying to use https://github.com/fabric8io/kubernetes-client/tree/master/crd-generator in scala code. If it is only duplicating one class or so, that seems manageable. But if I need to rewrite everything I am less confident

In terms of spinning up and managing everything, like, the stuff that's not Java apps. But some of the old fabric8 work - the predecessor to jKube - provides Java APIs and utilities to doing things like writing kubernetes operators in Java. Check out the kubernetes-client project. A lot of people never even learn about kubernetes operators, and just think "I have a service, la la la" plug their ears and then assume there will be some magic operational team that will deploy some service mesh app to solve all their problems.

Fabric8 is a very good Solution. I played also with k8s provided solution but especially custom resource definitions are a hell. I can recommend fabric8 it’s also used in operators like strimzi https://github.com/fabric8io/kubernetes-client

As the name says, this article is all about how to Cancel TaskRuns in Tekton using the Fabric8 Tekton client. You can see the latest example code here

Can the service account token, be used programmtically e.g., using https://github.com/fabric8io/kubernetes-client ?