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)

1524559250 1524559455    205	  0.039	# 24 April 2018 18:40:50 24 April 2018 18:44:15
1524792139 1524799297   7158	  0.015	# 27 April 2018 11:22:19 27 April 2018 13:21:37
1525790412 1525791312    900	  0.004	#  9 May 2018 00:40:12  9 May 2018 00:55:12
1525791681 1525791720     39	  9.756	#  9 May 2018 01:01:21  9 May 2018 01:02:00
1525792510 1525792580     70	  4.557	#  9 May 2018 01:15:10  9 May 2018 01:16:20
1526564885 1526566132   1247	  0.005	# 17 May 2018 23:48:05 18 May 2018 00:08:52
1526572165 1526572626    461	  0.597	# 18 May 2018 01:49:25 18 May 2018 01:57:06
1526583684 1526584528    844	  0.326	# 18 May 2018 05:01:24 18 May 2018 05:15:28
1529413404 1529414091    687	  0.001	# 19 June 2018 23:03:24 19 June 2018 23:14:51
1529935149 1529937519   2370	  0.007	# 25 June 2018 23:59:09 26 June 2018 00:38:39
1534530868 1534532337   1469	  0.001	# 18 August 2018 04:34:28 18 August 2018 04:58:57
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

Total 337 outages, total time 738411 seconds (8 days, 13:06:51)
Average time between outages:	439150 seconds (5 days, 01:59:10)
Average duration:		2191 seconds (00:36:31)
Availability:			99.50%
      

“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)
1526565600	  2	  1837	 97.87%	# 18 May 2018
1529330400	  1	   687	 99.20%	# 19 June 2018
1529848800	  1	    51	 99.94%	# 25 June 2018
1534514400	  1	  1469	 98.30%	# 18 August 2018
1535292000	  1	   508	 99.41%	# 27 August 2018
1535896800	  2	  4436	 94.87%	#  3 September 2018
1535983200	  1	  1107	 98.72%	#  4 September 2018
1537452000	  3	  7027	 91.87%	# 21 September 2018
1539349200	  1	    57	 99.93%	# 13 October 2018
1539608400	  1	  1655	 98.08%	# 16 October 2018
      

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.