Facebook open-sources LogDevice, a distributed storage for sequential data
1–10 of 123 posts
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#2Awesome to see this finally happening :)
Previous discussion in HN: https://news.ycombinator.com/item?id=15142266
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#3I had just stumbled across https://github.com/facebookincubator/python-nubia and am anxious to try it out. Was wondering about the internal project it was factored out from. This appears to be it.
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#4Happy to finally see LogDevice open. We have been working on this for years now.
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#5Awesome, I have been waiting for this since seeing the @scale talk about it.
https://atscaleconference.com/videos/logdevice-a-file-struct...
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#6What benefit to facebook is there from open sourcing technology they have developed?
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#7What benefit to facebook is there from open sourcing technology they have developed?
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#8Great to see this released. Some similar architecture decisions to Apache Pulsar as well with the separate of compute (in this case the sequencer) from the storage.
Kafka has done well so far, especially in making streaming systems more common, but it's about time for the next-gen systems.
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#9Am i the only being puzzled by
Scalable
Store up to a million logs on a single cluster. ?
This sounds pretty confusing / low volume.
Re: Facebook open-sources LogDevice, a distributed storage for sequential data
#10Am i the only being puzzled by Scalable Store up to a million logs on a single cluster. ? This sounds pretty confusing / low volume.
logs = topics, so they mean 1M separate topics on a single cluster.