Spread Data Across 100s of Datacenters With No Performance Hit

We talked about QuadIron in more details during our #ZenkoLive chat. In case you missed the talk, here is the recording of the session. The main feature of QuadIron is its speed compared to the other libraries for erasure coding. In the previous blog post we highlighted the math behind it. The ZenkoLive gave a […]

Written By Stefano Maffulli

On October 12, 2018
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Solve the challenges of large-scale data, once and for all.

We talked about QuadIron in more details during our #ZenkoLive chat. In case you missed the talk, here is the recording of the session. The main feature of QuadIron is its speed compared to the other libraries for erasure coding. In the previous blog post we highlighted the math behind it. The ZenkoLive gave a demo of its power. We took a video file of ~90MB, split into 90 fragments of 1MB each. For these fragments we generated 160 parities, totaling 250 pieces and an overhead of 2.77. We then deleted 100 parities to simulate the loss of 100 disks. Using QuadIron we rebuilt the video file in seconds.

Watch the recording below and ask questions on the forum.

Simple, secure S3 object storage software for modern applications