17%
20.03.2014
as PaaS
GigaSpaces, the company behind Cloudify, began developing the tool in 2012. Cloudify was originally designed as a tool for Platform-as-a-Service (PaaS) applications (although the boundaries to SaaS
17%
06.10.2022
kernel: "weaveworks/ignite-kernel:5.13.3"
As you can observe, the back end is now Ignite, and an ignite section declares CPU, memory, disk size, and kernel properties for the respective microVM(s
17%
11.06.2014
so many options and opinions is not a bad thing, but you need to sort through the ideas to find something that works for you and your situation.
In two further blog posts [3] [4], I wrote some simple
17%
03.12.2015
.0/24 !10.0.3.0/24
root@ubuntu:~# ps -eaf | grep dnsmas
lxc-dns+ 1047 1 0 18:24 ? 00:00:00 dnsmasq -u lxc-dnsmasq --strict-order --bind-interfaces --pid-file=/run/lxc/dnsmasq.pid --conf
17%
11.06.2014
image, and then Volatility [3] and Mandiant Redline [4] for further investigation. In this paper, I dive more deeply into Redline and Volatility.
To begin, I review a raw memory dump of a known malware
17%
01.04.2014
as PaaS
GigaSpaces, the company behind Cloudify, began developing the tool in 2012. Cloudify was originally designed as a tool for Platform-as-a-Service (PaaS) applications (although the boundaries to SaaS
17%
18.07.2013
to distinguish between the different SaaS, PaaS, and IaaS offerings, online storage, software products targeted to help users build their own hybrid cloud, virtualization management solutions, and the cloud
17%
09.10.2017
stack17987 0.1 1.2 224984 49332 pts/35S+15:450:19 /usr/bin/python /usr/bin/magnum-api
stack18984 0.0 1.4 228088 57308 pts/36S+15:450:06 /usr/bin/python /usr/bin/magnum-conductor
$
Kubernetes, Mesos
17%
30.11.2025
FMRI is milestone:/multi-user-server:default
. To discover the current runlevel, use /usr/bin/who -r
:
/usr/bin/who -r
. run-level 3 Jan 22 19:07 3 0 S
In this example, the current runlevel is 3
17%
31.10.2025
/loadavg/ [3]:
1.00 0.97 0.94 1/1279 7743
The three additional numbers provided by Linux are the number of running processes (one in this case), the total number of processes, and the last process ID (PID
