Webinar | Accelerating Spark with Kubernetes

Alluxio enables data locality with your Spark and Presto workloads for faster performance and better data accessibility in Kubernetes. It also provides portability across storage providers.

This webinar gives a quick overview of Alluxio and the use cases it powers for Spark/Presto in Kubernetes. We’ll show you how to set up Alluxio and Spark/Presto to run in Kubernetes as well.

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Accelerating Write-intensive Data Workloads on AWS S3

Alluxio is an open-source data orchestration system widely used to speed up data-intensive workloads in the cloud. Alluxio v2.0 introduced Replicated Async Write to allow users to complete writes to Alluxio file system and return quickly with high application performance, while still providing users with peace of mind that data will be persisted to the chosen under storage like S3 in the background.

NetEase and Alluxio joint meetup

Hangzhou Meetup *

Joint meetup in Hangzhou discusses: An introduction to new features of big data storage system Alluxio and optimization of cache performance, Practice & exploration of Spark & Alluxio, and the Interactive query system Impala.

The Practice of Alluxio in Ctrip Real-Time Computing Platform

Today, real-time computation platform is becoming increasingly important in many organizations. In this article, we will describe how ctrip.com applies Alluxio to accelerate the Spark SQL real-time jobs and maintain the jobs’ consistency during the downtime of our internal data lake (HDFS). In addition, we leverage Alluxio as a caching layer to dramatically reduce the workload pressure on our HDFS NameNode.

Which kind of EC2 instance is more recommended for use with Alluxio with applications like Presto/Spark? Does it make a big difference to have EBS disks with IOPS?

Presto and Spark are CPU-bound so they require CPU intensive instances. But on the other hand, they also need memory so the R4/R5 instances are what most users end up using for their Presto/Spark workloads. The memory itself will get distributed across Presto/Spark and Alluxio, and typically we see about 60% going to compute, 30% … Continued