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23%
Monitoring Performance with sar
05.03.2014
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 -s 12:00:00 -e 13:00:00 Linux 3.5.0-43-generic (hercules)         02.12.2013      _x86_64_        (2 CPU)    12:05:01        CPU     %user     %nice   %system   %iowait    %steal     %idle 12
23%
Collecting and evaluating performance data over a period of time
20.03.2014
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Lead Image © Sergey Nivens, 123RF.com
jcb@hercules:# sar -u -f /var/log/sysstat/sa02 -s 12:00:00 -e 13:00:00 Linux 3.5.0-43-generic (hercules) 02.12.2013 _x86_64_ (2 CPU) 12:05:01 CPU %user %nice %system
23%
Profiling Python code
30.01.2020
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Lead Image ©-Yong Hian Lim, Fotolia.com
%| 3| 2| 3.50475e-05| 1.75238e-05| 0.00%|import platform 4| 1| 2.19345e-05| 2.19345e-05| 0.00%|from time import clock (call)| 1| 2.67029e-05| 2.67029e-05| 0.00
23%
Processor and Memory Metrics
12.02.2014
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.py  CPU ALL:  1.0  %  CPU0    4.1%  CPU1    2.0%  CPU2    0.0%  CPU3    0.0%  CPU4    0.0%  CPU5    0.0%  CPU6    0.0%  CPU7    2.0%  CPU ALL:    user:      0.7%  nice:    0.0%    system:    0.2%  idle
22%
Security first with the Hiawatha web server
11.04.2016
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Lead Image © Tatiana Popov, 123RF.com
-fastcgi are running, as expected. Listing 1 Process List root 589 0.0 0.3 142492 3092 ? Ss 20:35 0:00 nginx: master process /usr/sbin/nginx -g daemon on; master_process on; www
22%
mpi4py – high-performance distributed Python
30.11.2020
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Lead Image © liu liming, 123RF.com
): 11 12 s = 0.0 13 s += h * f(a) 14 for i in range(1, n): 15 s += 2.0 * h * f(a + i*h) 16 # end for 17 s += h * f(b) 18 return (s/2.) 19 # end def 20 21 22 # Main section 23 comm = MPI
22%
networkd and nspawn in systemd
11.04.2016
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Lead Image © Kritiya Sumpun, 123RF.com
? 00:02:39 systemd You can define a container launched in this way as a system service with machinectl start Fedora-Cloud-Base-22-20150521.x86_64 and then log in to the container using
22%
Systemd network management and container handling
13.06.2016
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Lead Image © Kritiya Sumpun, 123RF.com
/run/systemd/resolve/resolv.conf /etc/resolv.conf mkdir /etc/systemd/network Listings 2 and 3 show the two configuration files for the regular Ethernet card (Listing 2) and bridge device (Listing 3
22%
Asynchronous PostgreSQL
12.09.2013
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Lead Image © Fesus Robert, 123RF.com
.pl 00:00:00.50023 The output shows the amount of computing time the database engine consumed. You can pass in the desired time as a CGI parameter: $ curl http://localhost/cgi/burn0.pl\?3 00:00
22%
Greylisting with Postgrey
22.06.2012
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: Qmail Delivery Retry Events Delivery Attempt Seconds D-HH:MM:SS 1 0 0-00:00:00 2 400 0-00:06:40 3 1600 0-00:26:40 4

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