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The ability to tolerate, remediate, and recover from network in- cidents (caused by device failures and fiber cuts, for example) is critical for building and operating highly-available web services. Achieving fault tolerance and failure preparedness requires sys- tem architects, software developers, and site operators to have a deep understanding of network reliability at scale, along with its implications on the software systems that run in data centers. Un- fortunately, little has been reported on the reliability characteristics of large scale data center network infrastructure, let alone its impact on the availability of services powered by software running on that network infrastructure.

This paper fills the gap by presenting a large scale, longitudinal study of data center network reliability based on operational data collected from the production network infrastructure at Facebook, one of the largest web service providers in the world. Our study covers reliability characteristics of both intra and inter data center networks. For intra data center networks, we study seven years of operation data comprising thousands of network incidents across two different data center network designs, a cluster network de- sign and a state-of-the-art fabric network design. For inter data center networks, we study eighteen months of recent repair tick- ets from the field to understand reliability of Wide Area Network (WAN) backbones. In contrast to prior work, we study the effects of network reliability on software systems, and how these reliability characteristics evolve over time. We discuss the implications of network reliability on the design, implementation, and operation of large scale data center systems and how it affects highly-available web services. We hope our study forms a foundation for under- standing the reliability of large scale network infrastructure, and inspires new reliability solutions to network incidents.

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