17%
09.10.2017
solutions are not good; however, introducing only the projects mentioned here [2] would probably fill an entire ADMIN
magazine special.
Before version 1.7, Kubernetes only implemented IPv4 pervasively. IPv6
17%
02.08.2022
docker-compose.yaml
version: '3'
services:
target1:
build: .
ports:
- '3000:80'
- '2000:22'
container_name: target1
target2:
build
17%
06.10.2022
shows some function call examples.
Listing 1
Example Function Calls
# Rounding up
# 11
round(10.9)
# Generate an array of numbers
# [9, 8, 7, 6, 5, 4, 3, 2, 1]
numbers.range(9, 1
17%
03.12.2015
, it outputs the message Hello World!
.
To test the script on a local web server, run the following command:
# nmap --script /path/http-vuln-check local targetlhost -p 22,80,443
The output should look
17%
18.02.2018
_python_interpreter variables ideally remain unchanged: They cause Python to connect to the host on standard SSH port 22 and to use Python 3 when calling commands on the target system.
Next, check whether the devops.hosts setup
17%
05.02.2019
:
$ curl http://169.254.169.254/openstack
2012-08-10
2013-04-04
2013-10-17
2015-10-15
2016-06-30
2016-10-06
2017-02-22
To retrieve a list of supported versions for the EC2-compatible metadata API, enter
17%
20.05.2014
restrict access to the LAN subnet. The bottom line is the following multiport rule:
# Administration
ip6tables -A INPUT -i $LAN_IF -s $LAN_NET -p tcp -m multiport --dport 22,80,443 -j ACCEPT
Depending ... We design a basic set of ip6tables rules for an IPv6 firewall. ... ip6tables Rules ... IPv6 Tables ... Creating Firewall Rules with ip6tables
17%
07.06.2019
# Jenkins home directory is a volume, so configuration and build history
22 # can be persisted and survive image upgrades
23 VOLUME ${JENKINS_HOME}
24 USER ${JENKINS_USER}
25
26 ARG JENKINS
17%
07.06.2019
-y
17
18 RUN apt-get install -y \
19 autoconf \
20 automake \
21 build-essential \
22 ca-certificates \
23 cmake \
24 curl \
25 g++-7 \
26 git \
27 less \
28
17%
01.08.2019
functions (ufuncs) [5] and C callbacks. The compiler is under continual development, with the addition of more capability, more performance, and more NumPy functions.
A ufunc operates on an ndarray [6
