The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Kubeflow is a platform for data scientists who want to build and experiment with ML pipelines. Kubeflow is also for ML engineers and operational teams who want to deploy ML systems to various environments for development, testing, and production-level serving.

kubeflow - Machine Learning Toolkit for Kubernetes

Telepresence substitutes a two-way network proxy for your normal pod running in the Kubernetes cluster. This pod proxies data from your Kubernetes environment (e.g., TCP connections, environment variables, volumes) to the local process. The local process has its networking transparently overridden so that DNS calls and TCP connections are routed through the proxy to the remote Kubernetes cluster. <BR><BR>
Telepresence, in conjunction with a containerized development environment, gives the developer a fast development workflow in developing a multi-container application on Kubernetes. Telepresence lets you run a Docker container locally, while proxying it to your Kubernetes cluster.

Telepresence substitutes a two-way network proxy for your normal pod running in the Kubernetes cluster. This pod proxies data from your Kubernetes environment (e.g., TCP connections, environment variables, volumes) to the local process. The local process has its networking transparently overridden so that DNS calls and TCP connections are routed through the proxy to the remote Kubernetes cluster.

Telepresence - Local development against a remote Kubernetes or OpenShift cluster

Kubernetes has made it very easy to deploy applications to the cloud at a higher scale than ever, but the development practices have not evolved at the same speed as application deployment patterns. Today, most developers try to either run parts of the infrastructure locally, or just test these integrations directly in the cluster via CI jobs or the "docker build, docker push, kubectl apply" cycle. It works, but this workflow is painful and incredibly slow.

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kubeflow - Machine Learning Toolkit for Kubernetes

Telepresence - Local development against a remote Kubernetes or OpenShift cluster

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Projects

kubeflow - Machine Learning Toolkit for Kubernetes

Telepresence - Local development against a remote Kubernetes or OpenShift cluster

Okteto - A Tool for Cloud Native Developers

TechStack

Tagcloud

License