Why am I seeing AWS S3 500 / 501 errors?

Increasingly S3 is being used as a data store for analytical and machine learning workloads. This means that it is very easy to generate a massive amount of get operations and request data from S3. For example: a couple of commands can launch a 1000 node cluster of AWS EMR service with the Spark or … Continued

How do you run Spark on On-Premise S3?

Introducing S3 and Spark S3 has become the de-facto standard API for digital business applications to store unstructured data chunks. To this end, several vendors have S3-API compatible offerings that allow app developers to standardize on the S3 API’s on-premise, and port these apps to run on other platforms when ready. So, what is S3 and … Continued

How do you train and deploy ML models using TensorFlow and S3?

TensorFlow is an open source machine learning platform used to build applications like deep neural networks. It consists of an ecosystem of tools, libraries, and community resources for machine learning, artificial intelligence and data science applications. S3 is an object storage service that was created originally by Amazon. It has a rich set of API’s … Continued

New features and performance optimization of open source big data storage system Alluxio

Chengdu Meetup *

This technical salon will focus on big data, storage, database and Alluxio application practice, and invite Tencent technical experts and industry technical experts to share the basic principles of Alluxio system, big data system architecture, database application operation and maintenance, AI computer. Themes such as visual technology and landing practice bring rich practical content and experience exchange.

Using Alluxio (formerly Tachyon) as a fault-tolerant pluggable optimization component to compute frameworks of JD system

Strata London *

Alluxio has run in JD.com’s production environment on 100 nodes for six months. Mao Baolong, Yiran Wu, and Yupeng Fu explain how JD.com uses Alluxio to provide support for ad hoc and real-time stream computing, using Alluxio-compatible HDFS URLs and Alluxio as a pluggable optimization component. To give just one example, one framework, JDPresto, has seen a 10x performance improvement on average. This work has also extended Alluxio and enhanced the syncing between Alluxio and HDFS for consistency.

Getting Started with Alluxio Open Source

Alluxio Community Office Hour *

Join us for our first monthly office hour. This month we will focus on:
Installing Alluxio using Docker and Homebrew on your local Linux/Mac machine and accessing data from S3 and HDFS, Understanding Alluxio’s architecture in the data ecosystem, Open Session for discussion on any topics such as solving the separation of compute and storage problem, unifying multiple storage systems, and more.

Top 5 Performance Tuning Tips for Presto caching using Alluxio

Presto is an open source distributed SQL engine widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Alluxio is an open-source distributed file system that provides a unified data access layer at in-memory speed. The combination of Presto and Alluxio is getting more popular in many companies like JD, NetEase to leverage Alluxio as distributed caching tier on top of slow or remote storage for the hot data to query, avoiding reading data repeatedly from the cloud. In general, Presto doesn’t include a distributed caching tier and Alluxio enables caching of files and objects that the Presto query engine needs.