yazgoo

An introduction to ansible

The problem: software orchestration.
Like fabric, puppet, chef.
It is Built on YAML, is agentless (uses SSH), idempotent.
Configuration is called 'playbook'.
A group of actions is called a role.
You can define host groups, hosts, variables.
To test local provisionning, use vagrant.

	def with_binding_from_hash(variables, &block)
	obj = Object.new
	variables.each do \|key, value\|
	obj.instance_variable_set("@#{key}", value)
	obj.define_singleton_method(key) { instance_variable_get("@#{key}") }
	end
	obj.instance_eval(&block)
	end

	def for_comprehension_with_guard(head, env)

	call plug#begin('~/.config/nvim/plugged')
	Plug 'junegunn/fzf', { 'dir': '~/.fzf', 'do': './install --all' }
	Plug 'junegunn/fzf.vim'
	call plug#end()

	"<fzf quickmarks>
	function! s:open_url_quickmark(line)
	silent execute '!firefox ' . shellescape(split(a:line)[-1], 1)
	endfunction

	import socket
	port_number = 4242
	server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
	server_socket.bind(('0.0.0.0', port_number))
	print "UDPServer Waiting for client on port", port_number
	while True: print server_socket.recvfrom(1024)

	require 'mittsu'

	class Game

	def bar
	left_bar_geometry = Mittsu::BoxGeometry.new(0.2, 0.05, 1.0)
	left_bar = Mittsu::Mesh.new(left_bar_geometry, Mittsu::MeshPhongMaterial.new(color: 0x888888))
	@camera.add left_bar
	left_bar.position.y -= 0.4
	left_bar.position.z -= 1

	from google.cloud import bigquery
	import sys
	bigquery_client = bigquery.Client(
	project = "my-project")
	query = bigquery_client.run_sync_query("select * from airflow.quotes_" + sys.argv[1])
	query.run()
	dataset = bigquery_client.dataset("airflow")
	table = dataset.table("quotes")
	table.reload()
	result = table.insert_data(query.rows)

	#!/usr/bin/env ruby

	text = "Samaritan Report Threat Assessment and Mitigation Date Current Date Time Current Time Subject Anomalous Behavior Detection and Countermeasures Summary Anomalous patterns detected in the activities of individuals within Sector 12 Probability of disruptive behavior reaching critical levels 82.5% Immediate intervention recommended to maintain societal stability Key Identified Entities 1 Individual A High likelihood of initiating a protest Risk Level High Recommended Action Surveillance escalation preemptive detention 2 Individual B Potential hacker targeting critical infrastructure Risk Level Severe Recommended Action Network isolation neutralization 3 Group X Organization planning unauthorized public assembly Risk Level Moderate Recommended Action Infiltration and dispersion Detailed Analysis Behavioral Patterns Increased communications among identified entities suggest coordination Keyword analysis reveals topics related to dissent and mobilization Network Traffic Unusual spikes in

	from airflow import DAG
	from airflow.operators.bash_operator import BashOperator
	from datetime import datetime, timedelta

	default_args = {
	'owner': 'airflow',
	'depends_on_past': False,
	'start_date': datetime(2017, 1, 1),
	'email': ['mymail@mail.net'],
	'email_on_failure': False,

	==26249==
	==26249== HEAP SUMMARY:
	==26249== in use at exit: 32 bytes in 2 blocks
	==26249== total heap usage: 5 allocs, 3 frees, 52 bytes allocated
	==26249==
	==26249== LEAK SUMMARY:
	==26249== definitely lost: 0 bytes in 0 blocks
	==26249== indirectly lost: 0 bytes in 0 blocks
	==26249== possibly lost: 0 bytes in 0 blocks
	==26249== still reachable: 32 bytes in 2 blocks