How does it compare to other players in the area? E.g Ceph, Gluster or Seaweed? (I'm no expert myself, only used those as a consumer of already setup systems)
I've been running my infrastructure meetup for almost 9 years, and it was fun to see so many similarity of lessons, as well as drop off nrs which match my experience exactly.
My advice is to keep your meetup at max 40. I've done 20 and 130 and once it goes above 40 it starts to become a chore instead of something fun.
My other advice is not to overdo it. Focus on good speakers and the rest will follow. Unlike the guy in the article, I have new sponsors every time and rotate the venue every time to try and diversify the attendees. Over time it seems like a nice, core group will form, which will slowly grow with new people discovering and liking the format and content.
I'm not going to put this and similar cases quite in the class of just applying a Photoshop filter or similar transformations. But I'm not sure it's that far off either. Which seems to fall into an area where you can't just take someone's photo, apply a couple straightforward changes, and now it's yours.
Susteynable is an internally incubated project at Stey. Our mission is to reduce end-user electricity consumption through IoT data visualization, gamification and loyalty.
Concretely: We are building a low-cost custom high-sample rate electricity meter that can be retrofitted to all residential and commercial electric boxes. We would use Non-Intrusive Load Monitoring(NILM), load disaggregation and general time-series techniques to provide users with breakdowns of their electric consumption by device/category, along with providing real-time energy data.
We are looking to hire a machine learning lead to architect solutions using SOTA methods commonly applied to NLP or time series data. You will also be responsible for building out the ML team going forwards.
EDIT: There is a whole comparison section in the docs that I missed: https://juicefs.com/docs/community/comparison/juicefs_vs_cep...