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: Unifying APIs, Accelerating ML, & Enabling Cloud Architectures

Bay Area Meetup *

Using intermediate APIs means developers can learn just one framework and still access features offered by different technologies. It means writing job logic only once and being able to test it easily on a new underlying service with no effort. Not only is modularity a win for users but it means creators of execution frameworks and storage systems can focus on performance and capability without having to worry about API maintenance.

Crash-Proofing Smartphones with Alluxio

Bay Area Meetup *

Enterprises typically store large amounts of data in existing storage systems, which are often separate from big data analytics systems. Therefore, importing petabytes of data into a big data analytics system takes a long time with large overheads and high costs. Even worse, transferring large amounts of data results in data silos and unnecessary duplication, which creates serious data management problems.

Guardant Health: Fast, scalable, data processing with Alluxio, Mesos, and Minio

Alluxio and Mesos Joint Meetup *

Speed is usually a key factor when analyzing large amounts of data. Alluxio enables analytics applications, such as Apache Spark, to retrieve stored data at memory speeds. DC/OS makes it easy to deploy distributed programs (such as Alluxio and Spark) and containers across large clusters.
In this talk, we will first discuss the development of the DC/OS Alluxio package, which deploys Alluxio on top of DC/OS, and then then demo the deployment a complete analytics stack, both with and without Alluxio, in order to see the benefits Alluxio provides.

Apache Kylin And Alluxio Meetup

Shanghai Meetup *

With the development of online services and clusters, the HDFS NameNode becomes a performance bottleneck of the HDFS cluster, which is not conducive to the horizontal expansion of the cluster.
The community’s Federation + viewFs solution solves the problem of horizontal scaling of HDFS, but the configuration of this solution is implemented on the client side, which is not conducive to the operation and management of large-scale clusters. Using Alluxio as a unified portal for multiple HDFS clusters, operation and maintenance management is convenient, and distributed cache capability is provided.

Alluxio Exploration And Application Practice Meetup

Beijing Meetup *

In this issue, the Drip Technology Salon and the Alluxio community invited the core engineers of Didi Travel, Alluxio, Kyligence, JD.com, and Tencent to revolve around Alluxio’s position and design philosophy in the big data ecosystem, architectural features, latest developments, and well-known The company’s production-level environmental application exploration and practice, as well as the experience in the use of the process and other topics, and in-depth participants to share.

Beijing Meetup: Talks from Sogou, Qiniu, JD.com & Alluxio

Beijing Meetup *

The future is the era of data, and the abstraction of efficient management, storage, and access to data is undoubtedly the cornerstone of this era. Open source distributed virtual data system Alluxio is dedicated to providing simple and efficient data abstraction, convenient data sharing and high-speed I/O for big data, machine learning, and artificial intelligence, while keeping applications and data persistent and providing rich Storage system selection. After several years of development, Alluxio was developed from a prototype of a research project involving only a few Ph.D. students and researchers in the AMPLab at the University of California, Berkeley, to more than 800 code contributors (Alluxio 1.8 release data), and deployed in Tencent. Baidu, JD, Two-Sigma, Barclays Bank and other hundreds of Chinese and foreign industry leaders in the production environment, become an important part of the data platform and data infrastructure.

Shanghai Meetup: Talks from Ctrip, Qiniu, Intel & Alluxio

Shanghai Meetup *

The future is the era of data, and the abstraction of efficient management, storage, and access to data is undoubtedly the cornerstone of this era. Open source distributed virtual data system Alluxio is dedicated to providing simple and efficient data abstraction, convenient data sharing and high-speed I/O for big data, machine learning, and artificial intelligence, while keeping applications and data persistent and providing rich Storage system selection.
After several years of development, Alluxio was developed from a prototype of a research project involving only a few Ph.D. students and researchers in the AMPLab at the University of California, Berkeley, to more than 800 code contributors (Alluxio 1.8 release data), and deployed in Tencent. Baidu, JD, Two-Sigma, Barclays Bank and other hundreds of Chinese and foreign industry leaders in the production environment, become an important part of the data platform and data infrastructure.

Unified Big Data Analytics – Any stack, Any Cloud

Boston Meetup *

This presentation focuses on how Alluxio helps the big data analytics stack to be cloud-native. The trending Cloud object storage systems provide more cost-effective and scalable storage solutions but also different semantics and performance implications compared to HDFS. Applications like Spark or Presto will not benefit from the node-level locality or cross-job caching when retrieving data from the cloud object storage. Deploying Alluxio to access cloud solves these problems because data will be retrieved and cached in Alluxio instead of the underlying cloud or object storage repeatedly.