18%
14.11.2013
community to continue development of an independent fork named Bareos.
The first stable release was Bareos 12.4 in April 2013 (the version number stands for the year and the quarter of the feature freeze
18%
18.07.2013
backend3.example.com server;
05 backend4.example.com server down;
06 backend5.example.com backup server;
07 }
08
09 upstream fallback {
10 fallback1.example.com server: 8081;
11 }
12
13
14 server {
15 %
16
18%
25.08.2016
and the other active members of the nano project decided to leave the GNU project, leaving GNU nano
intact but taking active development outside of GNU (a fork). This move was taken because of their objections
18%
09.04.2019
billing, and the Infrastructure-as-a-Service (IaaS) model from AWS, do not forget the continual blessing of new features and services by the bucket load (pun intended). Some of these cloud services fall
18%
11.06.2014
application server.
On a system in a stable state, throughput initially is not affected by file operations, but after a certain value (e.g., 16,384MB), performance collapses. As Figure 1 shows
18%
15.04.2014
the following command when you get there:
wget http://libguestfs.org/download/builder/fedora-19.xz
The image is only 164MB in size, so the download is done quickly. Back in the main directory of the libguestfs
18%
20.03.2014
you get there:
wget http://libguestfs.org/download/builder/fedora-19.xz
The image is only 164MB in size, so the download is done quickly. Back in the main directory of the libguestfs distribution, you
18%
11.04.2016
/meterpreter/rev_https>>]: generate
Veil-Evasion | [Version]: 2.22.1
[Web]: https://www.veil-framework.com/ | [Twitter]: @VeilFramework
[>] Please enter the base name for output files (default is 'payload'): payload21
Language
18%
05.02.2023
). In such an environment, a "dedicated" MariaDB container could be run as a replacement for a MariaDB VM:
podman run --name maria --volume /var/pods/maria:/var/lib/mysql:Z --net pub_net --ip 192.168.1.10 --mac-address 12:34:56:78:9
18%
19.10.2012
12-core AMD processors ranging in speed from 2.2 to 2.9GHz with 24 to 128GB of RAM per server and up to 1TB of scratch local storage per node.
Getting applications running POD HPC clouds can be quite
