“Zero-copy” HYBRID Bursting With No ApP changes


Is your compute capacity limited? Bursting to the cloud using data on-prem can bring the compute flexibility you need. Intelligently burst processing to cloud data services like EMR and Dataproc with Alluxio Data Orchestration.

what is zero-copy burst?

Hybrid Cloud is the concept that you want to take advantage of resources that are not local to your data. It may be large data lakes or silos and you want to leverage some compute capacity in the cloud. Zero-Copy burst enables you to burst, or move, your remote data closer to compute in the cloud for these benefits:

Time to Production
Expand your cloud footprint with significantly lower lag

Bursty” Workloads
Reduce overload on existing infrastructure by moving ephemeral workloads to the cloud

One step closer to the cloud
Use zero-copy burst as the intermediate step before migrating fully to the cloud

spending too much time maintaining data copies?

Bursting your on-prem workloads to the cloud can mean slow performance and managing duplicate data/application changes.

Using S3 via HDFS leads to low performance due to network latency

Copying data via DistCP from on-prem to cloud means maintaining duplicate data

Using other storage systems like S3 means expensive application changes

New Benchmark & Architecture Report: “Zero-Copy” Hybrid Cloud for Data Analytics
Get it now >

intelligently burst processing to the cloud with alluxio

Alluxio’s data orchestration platform leaves your data on-prem and intelligently bursts processing to cloud data services like EMR and Dataproc.

Intelligently burst HDFS workloads to the cloud

Deploy Alluxio + compute on-prem and S3 in the cloud

Want help getting started on zero-copy hybrid bursting? Schedule a meeting with one of our solution engineers.

configuring alluxio + hdfs in the public cloud

You can zero-copy burst your workloads to AWS, GCP, and Azure with Alluxio. By bringing the data to the analytics and machine learning applications, the performance is the same as having the data co-located in the cloud. Plus, the on-prem data stores will have offloaded the computation and minimized the additional I/O overhead.