Disable:
sudo launchctl unload -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist
Enable:
sudo launchctl load -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist
Disable:
sudo launchctl unload -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist
Enable:
sudo launchctl load -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist
# to generate your dhparam.pem file, run in the terminal | |
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048 |
#!/usr/bin/python | |
"""Convert all of your Viscosity connections into OVPN configuration files for OpenVPN | |
https://gist.github.com/ishahid/693c2c97b3236a3c2416fc09ab170244 | |
""" | |
import re | |
import glob | |
from os.path import expanduser, dirname |
The list of actions listed below was taken mostly from Book Of Zeus with minor modifications and did the job well for Ubuntu version, which was available at that moment (May 2016). This gist was created for internal use and was never meant to be discovered by the web, although Google managed to find and index this page, which was a great surprise for me. Please check the original source for the updated information (links are provided in most of the sections), and read the comments below: they provide more details about the usage experience.
http://bookofzeus.com/harden-ubuntu/initial-setup/system-updates/
Keeping the system updated is vital before starting anything on your system. This will prevent people to use known vulnerabilities to enter in your system.
Jon Warbrick, July 2014, V3.2 (for Ansible 1.7)
First one found from of
Job search sites
My Elasticsearch cheatsheet with example usage via rest api (still a work-in-progress)
A lot of people land when trying to find out how to calculate CPU usage metric correctly in prometheus, myself included! So I'll post what I eventually ended up using as I think it's still a little difficult trying to tie together all the snippets of info here and elsewhere.
This is specific to k8s and containers that have CPU limits set.
To show CPU usage as a percentage of the limit given to the container, this is the Prometheus query we used to create nice graphs in Grafana:
sum(rate(container_cpu_usage_seconds_total{name!~".*prometheus.*", image!="", container_name!="POD"}[5m])) by (pod_name, container_name) /