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Danielle E. Eisenbud

Danielle has been a software engineer, site reliability engineer, and innovator in networking at Google since 2004.

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Google Publications
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    Maglev: A Fast and Reliable Software Network Load Balancer
    Carlo Contavalli
    Cody Smith
    Roman Kononov
    Eric Mann-Hielscher
    Ardas Cilingiroglu
    Bin Cheyney
    Wentao Shang
    Jinnah Dylan Hosein
    13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16), USENIX Association, Santa Clara, CA (2016), pp. 523-535
    Preview abstract Maglev is Google’s network load balancer. It is a large distributed software system that runs on commodity Linux servers. Unlike traditional hardware network load balancers, it does not require a specialized physical rack deployment, and its capacity can be easily adjusted by adding or removing servers. Network routers distribute packets evenly to the Maglev machines via Equal Cost Multipath (ECMP); each Maglev machine then matches the packets to their corresponding services and spreads them evenly to the service endpoints. To accommodate high and ever-increasing traffic, Maglev is specifically optimized for packet processing performance. A single Maglev machine is able to saturate a 10Gbps link with small packets. Maglev is also equipped with consistent hashing and connection tracking features, to minimize the negative impact of unexpected faults and failures on connection-oriented protocols. Maglev has been serving Google's traffic since 2008. It has sustained the rapid global growth of Google services, and it also provides network load balancing for Google Cloud Platform. View details
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