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, which currently make up the majority. 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)

1523558818 1523558921    103	  2.067	# 13 April 2018 04:46:58 13 April 2018 04:48:41
1523561880 1523561981    101	  1.217	# 13 April 2018 05:38:00 13 April 2018 05:39:41
1524453393 1524453496    103	  0.004	# 23 April 2018 13:16:33 23 April 2018 13:18:16
1524453914 1524454018    104	  8.612	# 23 April 2018 13:25:14 23 April 2018 13:26:58
1524457159 1524457611    452	  1.146	# 23 April 2018 14:19:19 23 April 2018 14:26:51
1524459045 1524461077   2032	  2.510	# 23 April 2018 14:50:45 23 April 2018 15:24:37
1524461404 1524462031    627	 11.009	# 23 April 2018 15:30:04 23 April 2018 15:40:31
1524462672 1524462830    158	  5.616	# 23 April 2018 15:51:12 23 April 2018 15:53:50
1524463199 1524463269     70	  9.756	# 23 April 2018 15:59:59 23 April 2018 16:01:09
1524463514 1524463652    138	 14.694	# 23 April 2018 16:05:14 23 April 2018 16:07:32
1524463776 1524466190   2414	 29.032	# 23 April 2018 16:09:36 23 April 2018 16:49:50
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

Total 326 outages, total time 712730 seconds (8 days, 05:58:50)
Average time between outages:	421649 seconds (4 days, 21:07:29)
Average duration:		2186 seconds (00:36:26)
Availability:			99.48%
      

“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)
1522764000	  1	  1225	 98.58%	#  4 April 2018
1523196000	  6	  3935	 95.45%	#  9 April 2018
1523541600	  5	   850	 99.02%	# 13 April 2018
1524405600	  9	  6098	 92.94%	# 23 April 2018
1524492000	  1	   205	 99.76%	# 24 April 2018
1524751200	  1	  7158	 91.72%	# 27 April 2018
1525788000	  3	  1009	 98.83%	#  9 May 2018
1526479200	  1	   715	 99.17%	# 17 May 2018
1526565600	  2	  1837	 97.87%	# 18 May 2018
1529330400	  1	   687	 99.20%	# 19 June 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.