#facebookdown? What Internet Measurement Data Shows
Control Plane (BGP)
News reports show that many people saw a "something went wrong" webpage on Facebook in the early morning of 27 January (UTC), which indicates that the Facebook network remained reachable. However, the number of updates we receive in BGP (the Internet control plane) is a first clue that something happened with regards to the connectivity of the Facebook network to the rest of the Internet. This is shown in Figure 1 below.
If we look closer at the individual networks that Facebook announces to the Internet (see Figure 2), we see that some networks were withdrawn from the Internet at the same time as the reported outages, while others stayed up. The networks that stayed up are shown as continuous horizontal lines. The networks that were withdrawn are shown as horizontal lines with interruptions. As you can see in the image below, the problem mainly affected IPv6 networks, and for most networks this started about 6:15 (UTC) and lasted until 7:10 (UTC) on 27 January.
The more-specific networks that were withdrawn are possibly used for traffic engineering, such as making Internet traffic flow into their network at a specific location. As Facebook reported an internal glitch as the cause of their problems , it could be possible that their Internet traffic engineering configuration was part of the glitch.
To account for ghost routes and low-visibility routes, our definition of a visible route in Figure 2 is as follows: 10 or more RIS peers see this network. If we look more closely at what's going on with specific prefixes, we see a different picture, however. For instance, if we look at 2a03:2880:f000::/48 with BGPlay, we see that during the outage period there was a stream of updates and withdraws for this network, which may have hampered consistent IP-level connectivity. A screenshot of the BGPlay view is shown in Figure 3 ( click here to see the animated version in RIPEstat ).
Figure 3: Screenshot of BGPlay visualisation for 2a03:2880:f000::/48
If we look at this from the data plane with RIPE Atlas , there is an IPv4-ping measurement towards www.facebook.com from 50 RIPE Atlas probes in France that suggests IP-level connectivity was disrupted. This is shown in Figure 4. Red areas in this figure indicate ping-tests of IP-level connectivity that were not successful. The vertical red area (indicated with a green arrow) shows two rounds of measurements where IP-level connectivity to Facebook mostly failed. This is the same time as the reported Facebook outage. Figure 4 also shows two probes that continuously had connectivity problems to Facebook (red horizontal areas). Most likely these are not outage-related problems, but related to the setup of these specific RIPE Atlas probes.
Figure 4: IPv4 ping measurements from RIPE Atlas probes in France towards www.facebook.com. Each horizontal line represents ping measurements from a single RIPE Atlas probe. Failing ping tests are shown in red.
Internet Traffic Volume
We don't have visibility into global Internet traffic volumes, but a quick scan across various public statistics pages of Internet Exchange Points (IXPs) does show a noticeable dip in IPv6 traffic across the Amsterdam Internet Exchange AMS-IX at the same time as the reported problems at Facebook. This is shown in Figure 5. It is unclear what part of this missing traffic can be attributed to less IPv6 traffic to Facebook; potentially Facebook IPv6 traffic was temporarily not going via the IXP, or this dip is not Facebook related at all.
For a network operator it can be useful to have visibility into when your own networks become disconnected from the rest of the Internet. We are working towards faster detection of events relevant to network operators. For that we use the RIPE NCC measurement infrastructure ( RIPE NCC Route Collectors and RIPE Atlas ), but we're also looking into new methods of detecting significant events. We know it is important to provide easy access to the data the RIPE NCC makes available, so we are working towards having RIPEstat (the main interface to this data) show relevant data for events like Facebook's problem today, in near-real time.
Watch this space!