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This page shows my network availability and performance statistics connected to the Australian National Broadband Network. It bases on earlier pages that I wrote for the DSL and satellite connections.
I had hoped that with the advent of the NBN, this page would no longer be needed. Unfortunately, this has proven not to be the case. While I don't have issues with throughput, the availability has been the worst I have ever experienced, with outages of up to 48 hours. It's not clear where the problem lies, but I have observed serious issues with the DHCP authentication that my ISP uses. More here when I understand the situation better.
The graphs show:
Network status. This is the number of remote systems responding to a ICMP echo (ping) packet at the same time as the link status ping. I currently ping 5 systems which I frequently access: freefall.freebsd.org (now somewhere in New York state), www.lemis.com, my external web server in Raleigh NC, ffm.lemis.com, located in Frankfurt am Main, ozlabs.org, located in Canberra, and ftp.netbsd.org, located somewhere in the USA. Normally this value should be 5. If it's less, the script retries every second until full connectivity is restored.
Link packet loss, which has proven to be a significant issue since early 2018. I send 20 ICMP ping messages to the other end of the network link and count how many are lost.
I previously had parameters "link status" and "TCP speed”, but they no longer seem to make much sense.
The graphs were made with gnuplot, and I'm not very happy with the smoothing. In particular, the right-hand side of smoothed graphs has too much influence, and it's easy to get the false impression that the link status or TCP speed have changed significantly in the last few minutes. If anybody can point me at a way to fix this problem, I'd be grateful.
Click on the graphs for a 1600x1200 version.
This section monitors the NBN link for outages, including planned outages. I have manually edited the data to remove false positives, such as when moving house. I have a program that evaluates the outage information and produces detailed outage information. Here's the information on the past 20 outages, along with the overall statistics:
Start time End time Duration Badness from to (seconds) 1727933302 1727934073 771 0.480 # 3 October 2024 15:28:22 3 October 2024 15:41:13 1727935277 1727935412 135 2.990 # 3 October 2024 16:01:17 3 October 2024 16:03:32 1728306921 1728307059 138 0.010 # 8 October 2024 00:15:21 8 October 2024 00:17:39 1730323926 1730352322 28396 0.002 # 31 October 2024 08:32:06 31 October 2024 16:25:22 1730855658 1730855776 118 0.007 # 6 November 2024 12:14:18 6 November 2024 12:16:16 1730855832 1730856433 601 64.286 # 6 November 2024 12:17:12 6 November 2024 12:27:13 1730856734 1730857717 983 11.960 # 6 November 2024 12:32:14 6 November 2024 12:48:37 1731394871 1731394874 3 0.007 # 12 November 2024 18:01:11 12 November 2024 18:01:14 1732637415 1732637439 24 0.003 # 27 November 2024 03:10:15 27 November 2024 03:10:39 1732639970 1732640162 192 1.422 # 27 November 2024 03:52:50 27 November 2024 03:56:02 1732640289 1732641155 866 28.346 # 27 November 2024 03:58:09 27 November 2024 04:12:35 1739971876 1739971921 45 0.000 # 20 February 2025 00:31:16 20 February 2025 00:32:01 1740402651 1740402696 45 0.008 # 25 February 2025 00:10:51 25 February 2025 00:11:36 1741039433 1741039436 3 0.006 # 4 March 2025 09:03:53 4 March 2025 09:03:56 1742447270 1742447485 215 0.003 # 20 March 2025 16:07:50 20 March 2025 16:11:25 1743541232 1743541303 71 0.003 # 2 April 2025 08:00:32 2 April 2025 08:01:43 Summary Total 590 outages, total time 1334756 seconds (15 days, 10:45:56) Longest outage: 192150 seconds (2 days, 05:22:30) Start: 21 February 2015 04:36:54 End: 23 February 2015 09:59:24 Average time between outages: 596142 seconds (6 days, 21:35:42) Average duration: 2262 seconds (00:37:42) Availability: 99.62%
“Badness” is an attempt to quantify the effect. It's the reciprocal of the number of seconds per hour that the link was up between failures (i.e. 3600 / uptime).
And here is the summary information for the past 10 days with a less than 100% record:
Timestamp Outages Duration Availability Date (seconds) 1728306000 1 138 99.84% # 8 October 2024 1730293200 1 28396 67.13% # 31 October 2024 1730811600 3 1702 98.03% # 6 November 2024 1731330000 1 3 100.00% # 12 November 2024 1732626000 3 1082 98.75% # 27 November 2024 1739970000 1 45 99.95% # 20 February 2025 1740402000 1 45 99.95% # 25 February 2025 1741006800 1 3 100.00% # 4 March 2025 1742389200 1 215 99.75% # 20 March 2025 1743512400 1 71 99.92% # 2 April 2025
The dates in the left columns are in UNIX time_t format to ease further processing. I also have lists of all individual outages, or summaries per day.
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