Dear List,
One of my exits, which has been up for 6 months now with an average of 2000 to 4000 connections, since yesterday has been jumping up to 10,000, 8,000, then back to 3500 or so. My history is a simple test file of date and connection numbers taken every 5 minutes:
Sun Jan 3 07:20:00 MSK 2021
3233
Sun Jan 3 07:25:00 MSK 2021
3342
Sun Jan 3 07:30:00 MSK 2021
9679
Sun Jan 3 07:35:00 MSK 2021
3455
Sun Jan 3 07:40:00 MSK 2021
6800
Sun Jan 3 07:45:00 MSK 2021
3402
Sun Jan 3 07:50:00 MSK …
[View More]2021
3346
Sun Jan 3 07:55:00 MSK 2021
3355
Sun Jan 3 08:00:00 MSK 2021
3358
Sun Jan 3 08:05:00 MSK 2021
10067
Sun Jan 3 08:10:00 MSK 2021
3343
-----------------
TIA,
--Torix
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Exit-IPs: Please block these Exits /Relays
89.34.27.149, active
89.34.27.43 , "supended" in panel, but active. Warning!
89.34.27.48, active
89.34.27.49, active
(89.34.27.59 since some days terminated)
(89.34.27.37 since some week terminated)
I wrote a small Pythons script [1] to catch the event.reasons for
ORStatus.CLOSED. The output is something like this:
orstatus.py --ctrlport 9051
DONE FAF3236D37B0B18D8438C46317940F642E296924
IOERROR 917A0A924DA50B46CD740924AB42B237A831E182
DONE DCEA2A6D8034E164A4FFDD8AFF997E2F6FB2ECF8 50.7.179.202
443 v4 0.4.4.5
IOERROR CDE4149F0DC65A7BE1AE440340BE1C7A18135E29 192.250.236.130
80 v4 0.4.4.6
DONE 24E2F139121D4394C54B5BCC368B3B411857C413 204.13.164.118
…
[View More]443 v4 0.4.4.6
DONE 24E2F139121D4394C54B5BCC368B3B411857C413 204.13.164.118
443 v4 0.4.4.6
IOERROR 8A51DC1ACBBC411E3B4D124F44A98F5ADC6A8984
IOERROR 57C799B990D61FB49E22E792670F5B28FE2E7FEA
A stat over a day or so showed that the majority of systems have 0-10
IOERRORS whereas there're few dozen systems failing all the time and
having 100x more IOERRORS in the same time frame. I do wonder however
whether such a statistics is capable to give a senseful answer if a
relay itself behaves well or not?
[1] https://github.com/toralf/torutils/blob/master/orstatus.py
--
Toralf
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