Hey guys, I had a few esp32 boards around for a while and always thought - how do we go beyond just one device, would it be possible to apply cloud-native thinking to distributed edge computing?
Result is Kube32. I got the cluster and a full-stack web app with real-time sync running on esp32 s3 dev board and cardputer - https://7f0c-180-74-71-21.ngrok-free.app/ (may go down) (should support at least a few concurrent users - break it)
You won't see one cool thing though, which is the hud pod that uses Cardputer as a keyboard that syncs keystrokes to all clients in real-time.
Honestly, it opens so many possibilities for distributed edge computing and multi-device systems. Let me know what use-cases do you think would benefit from kube32 the most.
Thank you for working on this. The most impressive part for me is getting Kubernetes running on such low spec hardware. I can't think of a use case I have for Kube32 at the moment, but I do have use cases for Kubernetes running on a small amount of RAM. Is there any chance of porting this back to x86/x86-64 PCs or ARM SBCs? For example, being able to run this on a cluster of Raspberry Pis would be interesting as it would free up more RAM for applications.
[delayed]
Hey guys, I had a few esp32 boards around for a while and always thought - how do we go beyond just one device, would it be possible to apply cloud-native thinking to distributed edge computing?
Result is Kube32. I got the cluster and a full-stack web app with real-time sync running on esp32 s3 dev board and cardputer - https://7f0c-180-74-71-21.ngrok-free.app/ (may go down) (should support at least a few concurrent users - break it)
You won't see one cool thing though, which is the hud pod that uses Cardputer as a keyboard that syncs keystrokes to all clients in real-time.
Honestly, it opens so many possibilities for distributed edge computing and multi-device systems. Let me know what use-cases do you think would benefit from kube32 the most.
Thank you for working on this. The most impressive part for me is getting Kubernetes running on such low spec hardware. I can't think of a use case I have for Kube32 at the moment, but I do have use cases for Kubernetes running on a small amount of RAM. Is there any chance of porting this back to x86/x86-64 PCs or ARM SBCs? For example, being able to run this on a cluster of Raspberry Pis would be interesting as it would free up more RAM for applications.
cloud native emedded devices are an oxymoron
What's the benifit?