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24%
Docker image security analysis
01.08.2019
Home »  Archive  »  2019  »  Issue 52: Stop...  » 
Photo by Rodolfo Sanches Carvalho on Unsplash
pip install dockerscan Successfully installed booby-ng-0.8.4 click-6.7 colorlog-2.10.0 dockerscan-1.0.0a3 ecdsa-0.13 jws-0.1.3 python-dxf-4.0.1 requests-2.13.0 tqdm-4.31.1 www-authenticate-0.9
24%
Baselines are more important than  the  benchmark
06.10.2022
Home »  Archive  »  2022  »  Issue 71: Kuber...  » 
Lead Image © Lucy Baldwin, 123RF.com
B) copied, 1.99686 s, 210 MB/s Infos "Data Compression as a CPU Benchmark" by Federico Lucifredi, ADMIN , issue 66, 2021, pg. 94, https://www.admin-magazine.com/Archive/2021/66/Data-Compression-as-a
24%
Desktop Blades (of Glory)
06.05.2024
Home »  HPC  »  Articles  » 
). Figure 4: LattePanda Mu (image credit: DFRobot). The Intel N100 peaks around 22-23W under load, although DFRobot says up to 35W. The Raspberry Pi 5 under load peaks around 12W, so the power draw
24%
Serverless run times with custom Bash AWS Lambda layers
25.03.2020
Home »  Archive  »  2020  »  Issue 56: Secur...  » 
Lead Image © Eric Gevaert, 123RF.com
_DATA=$1 06 07 # This is the Event Data 08 echo $EVENT_DATA 09 10 # Example of command usage 11 EVENT_JSON=$(echo $EVENT_DATA | jq .) 12 13 # Example of AWS command that's output will show up
24%
Getting started with Prometheus
28.11.2021
Home »  Archive  »  2021  »  Issue 66: Inci...  » 
Photo by Clay LeConey on Unsplash
_filesystem_avail_bytes{device="/dev/nvme0n1p1",fstype="vfat",mountpoint="/"} 7.7317074944e+11 node_filesystem_avail_bytes{device="tmpfs",fstype="tmpfs",mountpoint="/tmp"} 1.6456810496e+10 # HELP node_cpu_seconds_total Seconds the CPUs spent
23%
Storage cluster management with LINSTOR
04.08.2020
Home »  Archive  »  2020  »  Issue 58: Graph...  » 
Lead Image © sdecoret, 123RF.com
Origin Data% Meta% Move LocalData_00000 drbdpool Vwi-a-tz-- 152.00m thinpool 0.04 thinpool drbdpool twi-aotz-- 300.00m 0.02 10.94 The next application example
23%
Profiling Python code
30.01.2020
Home »  Archive  »  2020  »  Issue 55: AWS L...  » 
Lead Image ©-Yong Hian Lim, Fotolia.com
of code. Listing 1 Time to Execute import time start_time = time.time() # Code to check follows a, b = 1,2 c = a + b # Code to check ends end_time = time.time() time_taken = (end_time- start
23%
Network monitoring with Icinga and Raspberry Pi
17.02.2015
Home »  Archive  »  2015  »  Issue 25: Safe...  » 
Lead Image © AndreaDanti, 123RF.com
} 07 define service{ 08 use generic-service 09 host_name w2k12srv 10 service_description Uptime 11 check_command check_nt!UPTIME 12 } 13 define service
23%
ISC 2024 from a Distance
10.06.2024
Home »  HPC  »  Articles  » 
Hooper (GH200) Superchip and quad-rail NDR200 NVIDIA InfiniBand. It achieved an energy efficiency of 72.733 gigaflops per watt (Gflops/W). In fact, eight of the top 10 systems were NVIDIA based
23%
Resource Management with Slurm
05.11.2018
Home »  HPC  »  Articles  » 
One way to share HPC systems among several users is to use a software tool called a resource manager. Slurm, probably the most common job scheduler in use today, is open source, scalable, and easy ...  # for your environment. 05 # 06 # 07 # slurm.conf file generated by configurator.html. 08 # 09 # See the slurm.conf man page for more information. 10 # 11 ClusterName=compute-cluster 12 Control ... One way to share HPC systems among several users is to use a software tool called a resource manager. Slurm, probably the most common job scheduler in use today, is open source, scalable, and easy

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