cheungnj

# Adapted from https://tinyapps.org/blog/nix/201701240700_convert_asciidoc_to_markdown.html
# Using asciidoctor 1.5.6.1 and pandoc 2.0.0.1
# Install pandoc and asciidoctor

$ sudo apt install asciidoctor
$ sudo wget https://github.com/jgm/pandoc/releases/download/2.0.0.1/pandoc-2.0.0.1-1-amd64.deb
$ sudo dpkg -i pandoc-2.0.0.1-1-amd64.deb

# Convert asciidoc to docbook using asciidoctor

dainis-boumber

## IMPORTANT:
# Should work for any IDE that supports ssh but only tested on PyCharm
# These instructions are for systemd OS (Ubuntu 16.04 and up, Debian). 
# For systems running upstart like 14.04, modify /etc/default/docker by adding DOCKER_OPTS
# 
#
# 
## First, we need to get Docker to accept ssh connections:
#
## Open /lib/systemd/system/docker.service

dcode

GitHub Flavored Asciidoc (GFA)

cirrusUK

!  __  ___ __ ___  ___  ___  _   _ _ __ ___ ___  ___ 
!  \ \/ / '__/ _ \/ __|/ _ \| | | | '__/ __/ _ \/ __|
! _ >  <| | |  __/\__ \ (_) | |_| | | | (_|  __/\__ \
!(_)_/\_\_|  \___||___/\___/ \__,_|_|  \___\___||___/
!                                                    
!## Colors
#define S_base03        #191919
#define S_base02        #073642
#define S_base01        #586e75
#define S_base00        #657b83

tristanfisher

Working with ansible-vault

---

I've been using a lot of Ansible lately and while almost everything has been great, finding a clean way to implement ansible-vault wasn't immediately apparent.

What I decided on was the following: put your secret information into a vars file, reference that vars file from your task, and encrypt the whole vars file using ansible-vault encrypt.

Let's use an example: You're writing an Ansible role and want to encrypt the spoiler for the movie Aliens.

gitaarik

Git Submodules basic explanation

Why submodules?

In Git you can add a submodule to a repository. This is basically a repository embedded in your main repository. This can be very useful. A couple of usecases of submodules:

• Separate big codebases into multiple repositories.

toddwschneider

# you can make a text file of request times (in ms, one number per line) and import it here, or you can use a probability distribution to simulate request times (see below where setting req_durations_in_ms)
# rq = read.table("~/Downloads/request_times.txt", header=FALSE)$V1

# argument notes:
# parallel_router_count is only relevant if router_mode is set to "intelligent"
# choice_of_two, power_of_two, and unicorn_workers_per_dyno are only relevant if router_mode is set to "naive"
# you can only select one of choice_of_two, power_of_two, and unicorn_workers_per_dyno

run_simulation = function(router_mode = "naive",
                          reqs_per_minute = 9000,