Atlas-dns-chaos-2-rtt-countries stats

Summary

• This country does the following:
  1. Download and parses RIPE CHAOS atlas DNS measurements
  2. Produces a CSV file with the results, and enriches the results with:
     • probe's country
     • probe's continent
     • probe's subregion
     • probe's firmware version
     • probe's version (v1--v4)
  3. Generates ready to use aggregate stats file for the measurement, per country, in both JSON and CSV format, so OPS teams can easily integrate into their dashboards and other graphs tools
  4. Plots a graph a world map with median RTT per country for the chaos measurements, see visualizations.

Demo

• https://gmmoura.github.io/atlas-dns-chaos-2-rtt-countries/visualization/10310-1544572800-1544573100.html

How-to for to generate the graph above

#1. Clone the repository
$ git clone https://github.com/gmmoura/atlas-dns-chaos-2-rtt-countries.git

#go to tests dir
$ cd atlas-dns-chaos-2-rtt-countries/tests

#let's user a Atlas b-root measurement
#you can get these from https://atlas.ripe.net/measurements/$MEASUREMENT_ID/#!download
#WARNING: the variable start and stop below  are in UNI\nX timpestamp
#and set how much data you want to collect
#Start with a few minutes only

#here we are having 300s only (stop - start)

url="https://atlas.ripe.net/api/v2/measurements/10310/results/?start=1544572800&stop=1544573100&format=json"


#read to run:
$ python3  ../chaos2countries/run.py  $url

#generate visualization
$ cd visualization/
$ python render.py ../tests/10310-20181212-1544572800-1544573100-stats-country.csv
$ firefox 10310-1544572800-1544573100.html

Output files

• The demo below will produce the following output files on your local dir.
• Results file will have the same prefix: PREFIX=$measuremnetID-dateStart-timestampStart-timestampEnd
  • For example, for the $url above, these variables would be:
    • measurementID=10310
    • dateStart=20181212 (computed from timestampStart)
    • timestampStart=1544572800
    • timestampEnd=1544573100

For the example above, we have:

• 10310-20181212-1544572800-1544573100-atlas-results.csv: a csv file with the parsed results from Atlas' JSON.

  • In other words, a easier version to read from the $url above
  • enriched with metadata about gelocation and probes.
  • the name format is: measuremnetID-dateStart-timestampStart-timestampEnd-atlas-results.csv

• 10310-20181212-1544572800-1544573100-stats-country.csv: aggregate RTT statistics, per country, in CSV

• 10310-20181212-1544572800-1544573100-stats-country.json: same as above, but in JSON

What can you do with this?

• Use JSON or CSV output to produce nice World heatmaps or do other analysis

Generate world maps

• Go to visualization/
• See demo https://gmmoura.github.io/atlas-dns-chaos-2-rtt-countries/visualization/10310-1544572800-1544573100.html

$ cd visualization/
$ python render.py ../tests/10310-20181212-1544572800-1544573100-stats-country.csv
$ firefox 10310-1544572800-1544573100.html