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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:

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.

NBN link statistics NBN link statistics

NBN link statistics NBN link statistics

NBN link statistics NBN link statistics

NBN link statistics NBN link statistics

NBN link statistics NBN link
        statistics

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)

1567122936 1567132941  10005	  0.024	# 30 August 2019 09:55:36 30 August 2019 12:42:21
1567142133 1567142312    179	  0.392	# 30 August 2019 15:15:33 30 August 2019 15:18:32
1567147330 1567151134   3804	  0.717	# 30 August 2019 16:42:10 30 August 2019 17:45:34
1567206889 1567207585    696	  0.065	# 31 August 2019 09:14:49 31 August 2019 09:26:25
1567635847 1567636322    475	  0.008	#  5 September 2019 08:24:07  5 September 2019 08:32:02
1567724418 1567728707   4289	  0.041	#  6 September 2019 09:00:18  6 September 2019 10:11:47
1568686359 1568686374     15	  0.004	# 17 September 2019 12:12:39 17 September 2019 12:12:54
1568687257 1568688388   1131	  4.077	# 17 September 2019 12:27:37 17 September 2019 12:46:28
1568688877 1568692055   3178	  7.362	# 17 September 2019 12:54:37 17 September 2019 13:47:35
1568692480 1568694933   2453	  8.471	# 17 September 2019 13:54:40 17 September 2019 14:35:33
1568698770 1568698826     56	  0.938	# 17 September 2019 15:39:30 17 September 2019 15:40:26
1568699617 1568699842    225	  4.551	# 17 September 2019 15:53:37 17 September 2019 15:57:22
1569445750 1569472304  26554	  0.005	# 26 September 2019 07:09:10 26 September 2019 14:31:44
1569610631 1569610712     81	  0.026	# 28 September 2019 04:57:11 28 September 2019 04:58:32
1571261914 1571290166  28252	  0.002	# 17 October 2019 08:38:34 17 October 2019 16:29:26
1571634521 1571639777   5256	  0.010	# 21 October 2019 16:08:41 21 October 2019 17:36:17

Summary
Total 411 outages, total time 947418 seconds (10 days, 23:10:18)
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:	436840 seconds (5 days, 01:20:40)
Average duration:		2305 seconds (00:38:25)
Availability:			99.47%
      

“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)
1566914400	  1	   590	 99.32%	# 28 August 2019
1567087200	  3	 13988	 83.81%	# 30 August 2019
1567173600	  1	   696	 99.19%	# 31 August 2019
1567605600	  1	   475	 99.45%	#  5 September 2019
1567692000	  1	  4289	 95.04%	#  6 September 2019
1568642400	  6	  7058	 91.83%	# 17 September 2019
1569420000	  1	 26554	 69.27%	# 26 September 2019
1569592800	  1	    81	 99.91%	# 28 September 2019
1571230800	  1	 28252	 67.30%	# 17 October 2019
1571576400	  1	  5256	 93.92%	# 21 October 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.


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