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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
In November 2021, Internet users from Mexico lost access to whatsapp.net and facebook.com. By the time the event was reported, the underlying problem had already gone unnoticed for quite some time. Here, we present key takeaways from our analysis of the event - carried out with RIPE Atlas - and we …
This article presents a set of open-source tools - “reusable visualisations” - that extend the AS hegemony visualisations provided by the Internet Health Report. Users can directly use the online tools or embed the IHR data on their own posts, webpages, or Observable HQ notebooks.
In this article we use data from RIPE Atlas probes to investigate the usage of 240/4, a block of IPv4 addresses 'reserved for future use', formally known as Class E in the wild.
The events season has started! This article is an invitation to people from across many communities, whatever your role or level of experience, to come and participate in workshops, conferences, camps, lectures, festivals, and more.
In 2021, reports emerged that hosts in Mexico were unable to reach whatsapp.net. It was determined that middleboxes were to blame, intercepting the queries to the root instance hosted in China and sending a bogus reply. This article investigates the prevalence of middleboxes using RIPE Atlas probes.
The RIPE NCC recently held two Open House events to bring together people who help organise NOGs, which bring together people who help operate the Internet in particular parts the world.
Following the Facebook outage that took place on 4 October, we saw people looking to BGPlay to get a better view of what went on. Here's a look at what the RIPEstat visualisation has to show us about the event in question.
RIPE Atlas probes actively measure Internet connectivity through a variety of measurement types. In this article, we take a closer look at what probes can tell us about outages.
As part of the Internet health hackathon, we studied RIPE Atlas delay signals before and during the COVID-19 pandemic. Here's what we found.
After the recent earthquake in Croatia we looked at RIPE Atlas and RIS data to visualise the impact a large event like this can have on the resilience of the Internet.
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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