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.

Detailed outage information

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)

1535377719 1535378227    508	  0.004	# 27 August 2018 23:48:39 27 August 2018 23:57:07
1535943056 1535946709   3653	  0.006	#  3 September 2018 12:50:56  3 September 2018 13:51:49
1535982417 1535983611   1194	  0.101	#  3 September 2018 23:46:57  4 September 2018 00:06:51
1535990178 1535990874    696	  0.548	#  4 September 2018 01:56:18  4 September 2018 02:07:54
1537454807 1537459825   5018	  0.002	# 21 September 2018 00:46:47 21 September 2018 02:10:25
1537491117 1537492450   1333	  0.115	# 21 September 2018 10:51:57 21 September 2018 11:14:10
1537495177 1537495853    676	  1.320	# 21 September 2018 11:59:37 21 September 2018 12:10:53
1539357751 1539357808     57	  0.002	# 13 October 2018 02:22:31 13 October 2018 02:23:28
1539693145 1539701852   8707	  0.011	# 16 October 2018 23:32:25 17 October 2018 01:57:32
1540907206 1540907488    282	  0.003	# 31 October 2018 00:46:46 31 October 2018 00:51:28
1541788561 1541788632     71	  0.004	# 10 November 2018 05:36:01 10 November 2018 05:37:12
1542200599 1542205955   5356	  0.009	# 15 November 2018 00:03:19 15 November 2018 01:32:35
1542864006 1542864490    484	  0.005	# 22 November 2018 16:20:06 22 November 2018 16:28:10
1543191168 1543191611    443	  0.011	# 26 November 2018 11:12:48 26 November 2018 11:20:11
1545087866 1545088952   1086	  0.002	# 18 December 2018 10:04:26 18 December 2018 10:22:32
1546209717 1546210182    465	  0.003	# 31 December 2018 09:41:57 31 December 2018 09:49:42
1546210306 1546210386     80	 29.032	# 31 December 2018 09:51:46 31 December 2018 09:53:06
1546228163 1546228187     24	  0.203	# 31 December 2018 14:49:23 31 December 2018 14:49:47
1548251418 1548252795   1377	  0.002	# 24 January 2019 00:50:18 24 January 2019 01:13:15
1548255155 1548255293    138	  1.525	# 24 January 2019 01:52:35 24 January 2019 01:54:53

Total 348 outages, total time 748217 seconds (8 days, 15:50:17)
Average time between outages:	455566 seconds (5 days, 06:32:46)
Average duration:		2150 seconds (00:35:50)
Availability:			99.53%
      

“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:

Date        Outages   Duration  Availability    Date
                      (seconds)
1539349200	  1	    57	 99.93%	# 13 October 2018
1539608400	  1	  1655	 98.08%	# 16 October 2018
1540904400	  1	   282	 99.67%	# 31 October 2018
1541768400	  1	    71	 99.92%	# 10 November 2018
1542200400	  1	  5356	 93.80%	# 15 November 2018
1542805200	  1	   484	 99.44%	# 22 November 2018
1543150800	  1	   443	 99.49%	# 26 November 2018
1545051600	  1	  1086	 98.74%	# 18 December 2018
1546174800	  3	   569	 99.34%	# 31 December 2018
1548248400	  2	  1515	 98.25%	# 24 January 2019
      

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.