
The Debogonisation of 2a10::/12
We are getting ready to start allocating from 2a10::/12, a new block of IPv6 addresses. In this process we did a couple of 'pre-flight' checks to check the usability of address space in this /12 block.
Based in Amsterdam, NL
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I'm a system architect/research coordinator at the RIPE NCC, where I work in the science group. I'm a chemist by training, but have been working since 1998 on Internet related things, as a sysadmin, security consultant, web developer and researcher. I am interested in technology changes (like IPv6 deployment), Internet measurement, data analysis, data visualisation, sustainability and security. I'd like to bring research and operations closer together, ie. do research that is operationally relevant. When I'm not working I like to make music (electric guitar, bass and drums), do sports (swimming, (inline) skating, bouldering, soccer), and try to be a good parent.
Website: https://www.caida.org/~emile
The IXP country jedi tool described in earlier RIPE Labs articles, can also be used to analyse the situation in a specific city. This time we look at Berlin.
During the RIPE 70 Meeting in Amsterdam this week (on 13 May around 10:00 UTC), we experienced a network outage at AMS-IX. Let's see how this was monitored by various tools.
In 2013 and 2014 we looked into measuring Interdomain Routing in Africa using the RIPE Atlas infrastructure. This resulted in a paper published at the PAM (Passive and Active Measurement) 2015 conference. Here we present some highlights of this research.
With the MENOG 15 meeting taking place this week, we look at Internet measurements and statistics for countries in the MENOG region.
While the cyclone Pam is battering the South Pacific, we're monitoring how this affects Vanuatu.
In this article we are looking in some more detail at BGP leak in Indonesia and illustrate how RIPEstat visualisations can help to assess the impact.
On the anniversary of the World IPv6 Launch, this article takes a look at the readiness of networks to deploy IPv6, using statistics from the RIPE NCC service region and beyond.
Together with Euro-IX we take a look at Internet Exchange Point (IXP) traffic levels during Felix Baumgartner's 39-kilometre jump to Earth, and we take a closer look at what exactly we can see at IXPs.
We did some measurements on the round-trip (RT) values of DNS queries for SOA (Start of Authority) records from our RIPE Atlas probes, over both UDP and TCP. We plotted the TCP/UDP ratios on graphs, and found that, as expected, for the majority of the measurements, it is around 2. However, we also …
We observed an increase in the number of new LIRs in the RIPE NCC service region. Many of these new LIRs show 1-star IPv6 RIPEness.
Code for looking into AS Adjacency changes is available here: https://github.com/emileaben/as-neighbour-diff
Code on how to create graphs like Figure 1 ( ie. BGP view of how networks in a country interconnect ) is available here: https://github.com/InternetHealthReport/country-as-hegemony-viz
NOG Alliance is helping out network operators in Ukraine: https://nogalliance.org/our-task-forces/keep-ukraine-connected/
An effort related to keeping Urkanian servers/websites online by the Dutch Cloud Community: https://dutchcloudcommunity.nl/community/cloud4ukraine/
We got a request for the HHI scores for other countries. I've put these in a small repo on github together with the code that generated this. repo: https://github.com/emileaben/hhi-eyeballs HHI scores for 2022-03-07 are available here: https://raw.githubusercontent.com/emileaben/hhi-eyeballs/main/eyeball-hhi.2022-03-07.csv
“This is awesome work, thank you! Do you maybe have the script/notebooks/sources to reproduce this? This could be potential used for other countries.”
Hi Jenneth, The observable notebook we used for this is here: https://observablehq.com/@aguformoso/internet-outages-as-seen-by-ripe-atlas . It's a little rough around the edges, so it would be great if you could help improve it!
Thanks for your comment Maxime. I would love to see more analysis too, and the tool allows people to do this. Take for instance this thread on Twitter where Jason Livingood analyses the signals for the US: https://twitter.com/jlivingood/status/1245142990336688130 If others have analysis for specific countries they want to share it would be great to have them collected, for instance as comments to this RIPE Labs post!
“One may assume that, if some people delayed the changes, other people rushed in to adapt the networks to the increased load? Both behaviour may explain why the change rate is more or less the same?”
I think it would be interesting to dig into this data deeper indeed. I looked at splitting this out per country a bit, but could try figure out if there are trends in the sets of ASNs in this timeseries. Would you be willing to look at this? My colleague Vesna is doing a virtual hackathon around Internet and Corona ( https://labs.ripe.net/Members/becha/hackathons-in-the-time-of-corona ), I'd love it if we could collaborate around this. Let me or Vesna know, or hop on to the conf calls, Mon 2pm UTC ( 3pm Paris timezone :) )
“Ghost routes: https://www.sixxs.net/tools/grh/what/”
I've added a reference to the different names 'stuck routes' and 'ghost routes' for this phenomenon at the beginning of the post. Thanks for the pointer!
“Interested in repeating this analysis for 2018 world cup?”
Hi Dan, we have no plans of repeating this analysis this time. This type of signal is still there, see for instance https://twitter.com/search?q=%40ohohlfeld%20%23worldcup&src=typd for a couple of graphs that show the impact in various places.
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