Past, Present and Future of Alluxio [Chinese]

Nanjing Big Data Meetup *

The Alluxio project has greatly improved system performance, Scalability and user experience, and added a series of new features, including scalable tiered storage, transparent UFS data reading and writing, unified namespaces, and more. Easy to use with Alluxio. At the same time, the Alluxio ecosystem has expanded to support different storage systems and computing frameworks. Alluxio now supports a variety of storage systems, including Amazon S3, Google Cloud Storage, Gluster, Ceph, HDFS, NFS and OpenStack Swift, as well as big data processing frameworks such as Spark, MapReduce, Flink and more. These integrations allow Alluxio to manage and help with more and more complex data.

1st Beijing Alluxio (Formerly Tachyon) Meetup

Beijing Meetup *

In the active community development of the past year, Alluxio has greatly improved its read and write performance, scalability and user experience. In addition, in terms of functionality, Alluxio has added a number of new features, such as scalable tiered storage, transparent UFS data reading and writing, unified namespaces, and more. These features bring more value to Alluxio users and more efficient and convenient cluster storage management.

Alluxio (formerly Tachyon): The journey thus far and the road ahead

Strata+Hadoop World New York *

The goal is to make Alluxio accessible to an even wider set of users through a focus on security, new language bindings, and further increased stability. In addition, the team is working on new APIs to allow applications to access data more efficiently and manage data across different under storage systems.

How Alluxio (formerly Tachyon) brings a 300x performance improvement to Qunar’s streaming processing

Strata+Hadoop World Singapore *

Alluxio is the first memory-speed virtual distributed storage system in the world. It unifies the interface between the various computing frameworks and under storages. Data access can be several magnitude faster because of Alluxio’s memory-centric architecture. In addition, Alluxio’s tiered storage, unified namespace, flexible file API, web UI, and command-line tools increase the usability in different application scenarios.
Qunar has been running Alluxio in production for over a year. Lei Xu explores how stream processing on Alluxio has led to a 16x performance improvement on average and 300x improvement at service peak time on workloads at Qunar.

Alluxio (Formerly Tachyon): The Journey thus Far and the Road Ahead

Vault Linux Storage and Filesystems Conference *

Haoyuan Li explores Alluxio’s goal of making its product accessible to an even wider set of users, through a focus on security, new language bindings, and further increased stability. Haoyuan also covers some new APIs Alluxio is working on to allow applications to access data more efficiently and manage data across different under storage systems.

Accelerating Spark Workloads in an Apache Mesos Environment with Alluxio

MesosCon North America 2017 *

Using Alluxio, an open-source memory speed virtual distributed storage system, deployed on Mesos enables connecting any compute framework, such as Apache Spark, to storage systems via a unified namespace. Alluxio enables applications to interact with any data at memory speed. Alluxio can eliminate the pains of ETL and data duplication, and enable new workloads across all data. Adit will discuss the architecture of Mesos, Spark and Alluxio to achieve an optimal architecture for enterprises.

Best Practices for Using Alluxio with Spark

Strata Data Conference New York 2017 *

Haoyuan Li and Cheng Chang explain how Alluxio makes Spark more effective in both on-premises and public cloud deployments and share production deployments of Alluxio and Spark working together. Along the way, they discuss best practices for using Alluxio with Spark, including with RDDs and DataFrames.