35%
06.10.2019
the appropriate controls.
Infos
Have I Been Pwnd?https://haveibeenpwned.com
PassProtect: https://www.passprotect.io
Burp Suite: https://portswigger.net/burp
The Author
Feel free
35%
09.06.2018
. Integration into an overall administrative concept will most likely be achieved through the use of DSC.
Infos
nssm: http://nssm.cc/download
PS DSC for Linux: https://github.com
35%
13.06.2016
.com/content/www/us/en/embedded/technology/quickassist/overview.html
QuickAssist Drivers and Patches: https://01.org/packet-processing/intel®-quickassist-technology-drivers-and-patches
35%
26.01.2025
and GPUs and move up the food chain without being condemned to the end of the "long tail of science."[8]
Infos
Beowulf Bash: https://beowulfbash.com/
SCinet: https://sc24.supercomputing
35%
14.11.2013
://opennebula.org/documentation:rel4.2:compile
OpenNebula Conf: http://opennebulaconf.com
The Author
Bernd Erk is the CTO with Netways GmbH (http://www.netways.de/en/de/home/), a company that has been active
35%
27.09.2024
component, targets larger infrastructures, and only makes sense in environments with more than eight nodes.
Infos
KubeVirt: https://kubevirt.io
Elemental toolkit: https://github.com
35%
30.01.2024
://ralph.allegro.tech
docker-compose configuration: https://github.com/allegro/ralph/tree/ng/contrib/
Extension code: https://ralph-ng.readthedocs.io/en/stable/installation/installation/
Ralph online demo: https
35%
01.06.2024
.
Infos
EZOfficeInventory: https://ezo.io/ezofficeinventory/
Shelf: https://www.shelf.nu/features
WiseTrack: https://www.wisetrack.com
BSI Standard TR-03126: https://www.bsi.bund.de/EN
35%
03.08.2023
limited. In fact, the current version of Project Koku is only interesting for Red Hat users.
Infos
Project Koku: https://project-koku.github.io
Getting started with Koku: https://github.com/project-koku/koku-ui#getting-started
35%
18.07.2013
. Many companies are finding Hadoop to be the new corporate HPC for big data.
Infos
Apache Hadoop: http://hadoop.apache.org/
MapReduce: Simplified Data Processing on Large Clusters : http://research.google.com
