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Introducing what's new in Alluxio 2.5

Thursday, April 2210AM PDT

We are thrilled to announce the release of Alluxio 2.5!

Alluxio 2.5 focuses on improving interface support to broaden the set of data driven applications which can benefit from data orchestration. The POSIX and S3 client interfaces have greatly improved in performance and functionality as a result of the widespread usage and demand from AI/ML workloads and system administration needs. Alluxio is rapidly evolving to meet the needs of enterprises that are deploying it as a key component of their AI/ML stacks.

At the same time, Alluxio continues to integrate with the latest cloud and cluster orchestration technologies. In 2.5, Alluxio has new connectors for Google Cloud Storage and Azure Data Lake Storage Gen 2 as well as better operability functionality for Kubernetes environments.

In this Office Hour, we will go over:

  • S3 Northbound API
  • ADLS Gen 2 Connector
  • GCSv2 Connector

Interested in learning more? 

Speaker: Calvin Jia

Co-head of Architect & Founding Engineer, Alluxio

Calvin Jia is the top contributor of the Alluxio project. He has been involved as a core maintainer and release manager since the early days when the project was known as Tachyon. Calvin has a B.S. from UC, Berkeley.

Speaker: Bin Fan

Founding Engineer & VP of OS, Alluxio

Bin Fan is the founding engineer and VP of Open Source at Alluxio, Inc. Prior to Alluxio, he worked for Google to build the next-generation storage infrastructure. Bin received his Ph.D. in Computer Science from Carnegie Mellon University on the design and implementation of distributed systems.

Alluxio is...

...a data orchestration layer for compute in any cloud. It unifies data silos on-premise and across any cloud to give you data locality, accessibility, and elasticity.

Whether it’s accelerating big data frameworks on the public cloud, running big data workloads in hybrid cloud environments, or enabling big data on object stores or multiple clouds, Alluxio reduces the complexities associated with orchestrating data for today’s big data and AI/ML workloads.