gefyra VS gefyra

I even created a website already. The source is located here: https://github.com/Schille/gefyra

I am looking for feedback on what development scenarios you would like to see supported in the future. What am I currently missing or what would be the most interesting use-case from your perspective?

I even created a website already ;) . Have a look: https://gefyra.dev The source is located here: https://github.com/Schille/gefyra

Good job. For this particular use case I started Gefyra (https://github.com/Schille/gefyra) almost at the same time. Have a look, too.

I recently started a new open source project in order to improve the software development process with Kubernetes. I called it Gefyra: https://github.com/Schille/gefyra Python 3.8 is currently a requirement.

Gefyra attempts to provide the same value as mirrord, but in a different way (via VPN).

Please find the draft here: https://github.com/gefyrahq/gefyra/issues/353

- https://gefyra.dev/

We recently presented our open-source tool Gefyra (https://gefyra.dev) at a "Kubernetes Community Days" event.

My team and I created the open-source tool Gefyra: https://github.com/gefyrahq/gefyra

Gefyra - a tool that creates local infrastructure to write code directly in a Kubernetes cluster while using conventional development tools (including debugger): https://gefyra.dev

As an example: for another project (https://gefyra.dev) I create a Deckfile which contains: - a Keycloak, with initial data (realm, clients, user, etc.) - a service with a sidecar pattern (oauth2-proxy for handling OIDC) - the K8s dashboard for developer experience Have a look: https://github.com/gefyrahq/gefyra-demos/blob/main/deck.yaml And all it takes to run this locally is deck get https://github.com/gefyrahq/gefyra-demos.git Epinio can effectively become part of the Deckfile (so the platform is installed locally already), and the developer can run epinio push immediately after deck get... to bring in new apps. Sounds good.

Mhh. Interesting. With Gefyra (https://gefyra.dev) I automated just that process and it seems to work. I tested it successfully with GKE. However, I decided to use a NodePort service. Is your GCP firewall rule UDP based (TCP is default and does not work)?

If a local Docker container instance supports GPU access on M1 Mac (and I really don't know) you could use Gefyra (https://gefyra.dev) to run the container with the special hardware requirements on you local Docker host and the rest within Minikube. The container running with Gefyra should behave as it would run within a Kubernetes namespace.