My Blog

This page contains some basic information about my two servers: clio and calliope. You can click on the plots to enable mouse tracking. If you click on the legend you can toggle the visibility of the datasets and if you click on the grid icon (in the lower left corner) you can toggle the visibility of the background grid.

§1 IP Addresses Table

This table is created using IPs provided by ipecho.net.

§2 Host Key Fingerprints

clio

• md5 Fingerprints
  • ECDSA = 76:4c:dd:af:e3:98:b4:17:fc:07:5e:a1:52:70:7e:c3
  • ED25519 = cf:48:4d:4e:0b:02:fb:28:d5:65:4f:f7:c4:c6:f6:de
  • RSA = 5c:b9:9f:0e:fe:c4:ee:80:ef:21:1f:e3:12:e2:7c:02
• sha256 Fingerprints
  • ECDSA = 6lVGfyBYCt7CujNEZGAaEaYDGYfwJD7dyAFDnHKQo2c
  • ED25519 = Gc5J1oVFwq/463iQbo/y8nlViDYvaaIcSfgOlyVanr8
  • RSA = DNSfukwSmKn91GC5nvfK1bohRwn9kVpyPxXkUs6BgL8

calliope

• md5 Fingerprints
  • ECDSA = 0a:44:96:94:8b:0e:d0:13:49:88:3c:60:04:9f:db:02
  • ED25519 = fb:a4:8c:ca:58:f3:cf:0d:d6:80:1e:cf:86:90:39:c9
  • RSA = 42:59:b4:4f:d0:40:c3:4b:fc:8a:b6:f9:88:63:87:a9
• sha256 Fingerprints
  • ECDSA = ff2KMp002Egg8jyQqBTJWdvU42MAH3rOazLYkZJYucQ
  • ED25519 = i502TTJQ7FrmdtWRXQ+teR+e/L2HaS93Kt9TGXUmKS8
  • RSA = GfDEFvO9VhzJf1JXcbGZtIYYSxTL9Xcq5ojV8QI5MKg

§3 Load Averages Plot

§4 Temperatures Plot

§5 Disk Usage Plot

The orange region shows the theoretic limit of clio’s storage capacity and the red shows the same for calliope.

§6 Firewall Denials Plots

Note the logarithmic axes.

This second plot probably requires some explanation. In purple I have plotted, as points, the number of denials in a day on clio against the number of denials in the same day on calliope to study if there is any correlation in the denial rate at a given time on the two servers. The purple line is the linear fit to the dataset and Pearson’s correlation parameter is written in the top-right corner in purple too. As of March 2018 they appear to be un-correlated. Additionally, in red and blue, I have plotted the histograms of the denials on clio and calliope respectively. Finally, I have written some basic parameters on the plot, such as the mean and the median values, to demonstrate that even though the denial rates at a given time on clio and calliope are un-correlated their distributions are nonetheless broadly similar.

§7 Firewall Denials Maps

These maps are created using locations and countries provided by freegeoip.app. Note the logarithmic axes.

§8 Firewall Denials “Country Of Origin” Table

This table is created using countries provided by freegeoip.app.

§9 Network Plots

In the first plot: green indicates full network access; orange is only local network access; and red is no network access at all. Note the logarithmic axes in the second and third plots.

This third plot also probably requires some explanation. In purple I have plotted, as points, the receiving network rate on clio against the sending network rate on calliope at the same time to study if there is any correlation in the network rates at a given time on the two servers. (There should be as clio is the slave and calliope is the master). The purple line is the linear fit to the dataset and Pearson’s correlation parameter is written in the top-right corner in purple too. As of March 2018 they appear to be correlated.

§10 Bandwidth Plot

As mentioned above, clio is the slave server therefore the rate of data creation is indicative of the bandwidth of the connection from calliope to clio (give or take compression). Note the logarithmic axes. As of May 2019, the modal value is 9.5 Mb/s which equates to 1.13 MiB/s: this results in 3.98 GiB/hour and 1 TiB is transferred in 10.7 days. As of May 2019, the ISP of the connection that calliope uses thinks that the upload speed is 12.0 Mb/s which equates to 1.43 MiB/s: this results in 5.03 GiB/hour and 1 TiB is transferred in 8.5 days.

§11 ZFS iostat Plot