Alluxio on gcp
Tutorials and guides to successfully deploy Alluxio on Google Cloud Platform
featured topic: alluxio on google dataproc
Getting Started tutorial
Get up and running with Google Dataproc and Alluxio with our hybrid cloud tutorial and on-demand tech talk.
on-demand tech talk:
Build a hybrid data lake and burst processing to Google Cloud Dataproc with Alluxio
Set up hybrid environment between your private datacenter and GCP, burst to Dataproc while accessing on-prem data, and more.
alluxio on gcp tutorials
Getting started with Alluxio on gCS
Alluxio supports access to different storage systems through its unified namespace. Configure GCS as Alluxio’s under storage system in four steps.
Whitepaper: zero-copy hybrid bursting with no app changes
This whitepaper details how to leverage GCP to scale analytics workloads directly on on-prem data without copying and synchronizing the data into the cloud.
Boost AI Workload Performance with Intel® on GCP
For AI on the same CPU-based hardware as your existing workloads, Alluxio recommends Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost).
To learn more about Intel® Xeon® powered instances, visit the Google Cloud and Intel partner page. We recommend M2 (Memory-optimized) machine type powered by 2nd generation Intel Xeon Scalable Processors (Cascade Lake).
alluxio + gcp for hybrid workloads at walmart labs
Alluxio coupled with Google Cloud Platform enabled zero-copy burst for Walmart Labs for faster query performance in the cloud.
With Alluxio, Walmart Labs is able to query datasets that before couldn’t get to public clouds like GCP and improve query performance overall.