RFC7050 (DNS64 prefix via ipv4only.arpa) on RIPE Atlas probes

You know when in the morning you wake up and a thought flashes across your mind? One of these mornings I had this: how many RIPE Atlas probes are on a NAT64/DNS64 scenario? RFC7050 can help to answer this question.

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Network monitoring: ripe-atlas-monitor

A post I wrote for RIPE Labs has been published today: The RIPE Atlas Monitor – Network Monitoring with RIPE Atlas.

It’s about a Python tool I developed to monitor results collected by RIPE Atlas probes and verify they match against predefined expected values: ripe-atlas-monitor:

descr: Check network reachability
matching_rules:
- descr: Probes from France via AS64496
  src_country: FR
  expected_results: ViaAS64496
  actions: EMailToNOC
- descr: RTT from AS64499 and AS64500 below 50ms
  src_as:
  - 64499
  - 64500
  expected_results: LowRTT
  actions: EMailToNOC
expected_results:
  ViaAS64496:
    upstream_as: 64496
  LowRTT:
    rtt: 50
actions:
  EMailToNOC:
    kind: email
    to_addr: noc@agreatcompany.org
    subject: "ripe-atlas-monitor: unexpected results"
measurement-id: 123456789

For more details: GitHub / official documentation site.

Contributions and suggestions from the community are very welcome!

What if… an IPv6-only network

Let’s suppose I decide to run an IPv6-only public hotspot: how many users would be able to surf the web with no troubles? That is, how many devices nowadays run OSs which are able to work out of the box without an IPv4 address?

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HTTPS + CT SCT TLS extension on my blog

Finally, I managed to enable HTTPS on my own blog!

I opted for a quick-and-dirty solution based on a self-compiled version of HAProxy in front of WordPress, statically linked to OpenSSL 1.0.2, in order to serve Certificate Transparency information during the TLS setup.

blog.pierky.com-SCT

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RIPE Atlas Tracepath v0.3.0

I released a new version of my web application RIPE Atlas Tracepath: v0.3.0. It reads results from RIPE Atlas traceroute measurements and shows Autonomous Systems that probes go through to reach the target.

UPDATE: new versions have been released since this post, with new features and bug fixes: please take a look at the project’s page on GitHub.

In the beginning it was a simple Python script/CGI; the new release has been totally rewritten, it’s now based on the D3.js visualization library and uses a more elegant Python backend based on Flask/WSGI.

Among the new features, probes are also displayed and linked to their origin AS; for those that completed the traceroute toward the target the avg RTT is also rendered in form of a scale of colors. Multiple Autonomous Systems can now be selected and moved together on the graph, in order to obtain the layout that best describes the analyzed scenario.

A demo can be found here. It only shows results from measurement ID 1674977, a traceroute from 50 probes all over the world toward www.ripe.net:

Graph of traceroute to www.ripe.net

More details can be found on the GitHub page; feel free to use/edit/fork/improve it as you whish!