The Open Sourcing Venice talk is published!
https://t.co/lu0hZETnx1
Many thanks to @strangeloop_stl for the great event organization and subsequent editing!
New blog post by Gaojie Liu (https://t.co/DfY04fAGQl) and Jialin Liu (https://t.co/165gGjZGgi)
"Venice platform at LinkedIn now handles over 175M key lookups/sec and 230M writes/sec, all while maintaining a write-latency SLA under 10 minutes."
https://t.co/QBIb7j8DNG
Super excited about the new peer-to-peer file transfer feature in Venice! 🚀
It's already speeding up bootstrap times by up to 600%+ in production.
Check out Jingyan Li's talk to learn more about this awesome project
https://t.co/4ogPxxgFbG
Check out the latest @InfoQ podcast, featuring a wide-ranging conversation between @olimpiupop and @felixgv about databases, derived data, technical migrations, performance, Venice, Java, RocksDB, @duckdb and more!
https://t.co/vB5yYM2iJZ
In this advanced use case, #VeniceDB is used to merge batch and stream inputs, and to transport the data to serving nodes which load it into GPUs, thus updating their ML model in near real time. Check out the paper for more details!
https://t.co/HGbAj13VN0
See this talk from Apurv Kumar at this year's #VeniceCon, to hear about how they re-architected their service to leverage Da Vinci, and achieved significant improvements across many dimensions!
https://t.co/W2XrR66ofg
Did you know that #VeniceDB offers a client library called Da Vinci? This library eagerly ingests a Venice dataset into a local #RocksDB instance, providing lightning fast query on this locally cached state.
Understand where #VeniceDB fits into @LinkedInEng’s #AI / #ML ecosystem, by watching this first part of the first talk of our recent #VeniceCon event!
https://t.co/65iyIu4g5A
Check out this #VeniceDB overview given by @ZacAttackFTW at #VeniceCon 2024! Subscribe here or on YouTube to hear about the other talks recorded at the event!
https://t.co/uInevqBXbc