#DuckDB has announced Quack - a new remote protocol over HTTP that enables multiple DuckDB instances to connect to and work with the same database across a network.
Quack brings client-server capabilities to a database that has traditionally been local and embedded.
đź”— Learn more: https://bit.ly/4foyrOp
#CaseStudy - Discover how #Uber evolved their distributed storage platform from static rate limiting to a priority-aware load management system to safeguard their in-house databases.
This shift tackled the limits of QPS-based rate limiting in large, multi-tenant systems - handling noisy neighbors, and protecting tail latency.
Read more on #InfoQ 👉 https://bit.ly/4rjf8IW
Check out Google's tiered storage for #Spanner – its distributed SQL database on Google Cloud!
With this tiered storage, you can store older data on HDDs - 80% cheaper than SSDs - without the hassle of traditional migrations.
Learn more on #InfoQ 👉 https://bit.ly/43NM5ov
#CloudComputing #GoogleCloud #CostOptimization #HDD #DistributedData
How do you create & operate planet-scale data storage solutions for derived data?
How do you decide on the pieces that must be fitted to ensure a resilient operating system?
🎧 Listen to the #InfoQ podcast with Felix GV, Principal Staff Engineer at LinkedIn, and discover the answers: https://bit.ly/41Fxw3A
đź“„ #transcript included
The #opensource distributed storage system #CubeFS has reached graduation status!
CubeFS supports multiple access protocols, including POSIX, HDFS, S3 & its own REST API.
Its key platform targets?
➡️Big data
➡️AI/LLM applications
➡️container platforms
➡️databases
Learn more: https://bit.ly/3F7d2sQ
We are running a #blog on #DataLad and #DistributedData now!
In our new #InfoQ #podcast, Deepthi Sigireddi dives deep into the architecture of cloud-native distributed databases, sharding, replication, and failover.
🎧 Listen now 👉 https://bit.ly/3QRUXSD
#CloudNativeArchitecture #Database #DistributedData #Sharding
#ModConFlex #MSCA researcher Ziqi Wang is a co-author of "FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning" Federated learning (FL) emerges as a promising framework for #Learning from #DistributedData while preserving privacy. It is useful in the #WindEnergy sector. For instance, it enables #CollaborativeTraining of #WindPower #ForecastingModels among multiple #WindFarms, overcoming challenges associated with #DataPrivacy and #CommercialCompetition.
Uncover the secrets of CacheFront – Uber’s innovative #caching solution for its in-house distributed database, Docstore!
Learn how it achieves over 40M reads per second & significant latency reductions: https://bit.ly/3T0l7mf
#InfoQ #DistributedCache #Database #SQL #DistributedData #ChangeDataCapture
Uber developed an innovative caching solution, CacheFront, for its in-house distributed database, Docstore. CacheFront enables over 40M reads per second from online storage and achieves substantial performance improvements, including a 75% reduction in P75 latency and over 67% reduction in P99.9 latency, demonstrating its effectiveness in enhancing system efficiency and scalability.
InfoQ
GLACIATION EU
DataLad
ModConFlex