aCandidMind

Cloud-Init Debugging

Cloud-init combined with terraform can be a powerful tool to provision instances on startup. Debugging scripts that are run by cloud-init however are not the easiest to debug.

Logs

Usually on an Ubuntu machine a lot of what is happening can be found in the syslog

cat /var/log/syslog

aCandidMind

belongs_to:

1. Assigning an object to a belongs_to association does not automatically save the object. It does not save the associated object either.

has_one:

1. When you assign an object to a has_one association, that object is automatically saved (in order to update its foreign key).
2. In addition, any object being replaced is also automatically saved, because its foreign key will change too
3. If either of these saves fails due to validation errors, then the assignment statement returns false and the assignment itself is cancelled.
4. If the parent object (the one declaring the has_one association) is unsaved (that is, new_record? returns true) then the child objects are not saved. They will automatically when the parent object is saved.

aCandidMind

#!/usr/bin/env ruby
# 25s curl -o all.gz.curl http://download.openwall.net/pub/passwords/wordlists/all.gz
# 11s for this script with 4 parallel requests
require 'typhoeus'

def pfetch(url, splits=4)
  response = Typhoeus.head(url)
  parallelize = false
  basename = File.basename(url)
  size = nil

aCandidMind

[Deutsche Version weiter unten]

To all females, males and everything in between, thus also teenagers,

after 2.5 years (sometimes you have to watch) we're now setting things straight and want to communicate what this community is about.

Starting now our hands-on part will feature three desk groups covering the topics Visualization & Mobile, Participation & Kommune and Sensors & Makers. All of this is connected with the D at the center. It's up to you what you make out of this letter and bring to the city of Frankfurt. It could be data (incl. opening them up), development, design, democracy, data-driven journalism, desires, and likely a lot of other words. Obviously they're all inter-connected.

aCandidMind

Server Price Breakdown: DigitalOcean, Amazon AWS LightSail, Vultr, Linode, OVH, Hetzner, Scaleway/Online.net:

Permalink: git.io/vps

$5/mo

Provider	Type	RAM	Cores	Storage	Transfer	Network	Price

aCandidMind

%!TEX TS-program = xelatex
\documentclass[12pt]{scrartcl}  

% The declaration of the document class:

% The second line here, i.e.
% \documentclass[12pt]{scrartcl} 
% is a standard LaTeX document class declaration: 
% we say what kind of document we are making in curly brackets, 
% and specify any options in square brackets.

aCandidMind

UPDATE!

I have moved this to my blog. All future updates will be made here: http://killcity.io/2017/08/12/setup-docker-swarm-with-macvlan-plus-consul-and-autoscaling.html

Docker Swarm with Macvlan, Consul and Autoscaling

TL;DR:

This will get you routable containers with IPs on your existing subnets, advertising to Consul. They will also be scalable and placed across a cluster of Swarm hosts. It's assumed that you are already running Consul, so if not, there are a ton of tutorials out there. It's also assumed you know how to install Docker and various Linux kernels.

Bonus: We add an autoscaling API called Orbiter (https://gianarb.it/blog/orbiter-the-swarm-autoscaler-moves).

I just want to run containers, like now, on my existing infrastructure and networks!

aCandidMind

FROM alpine:3.5

MAINTAINER NGINX Docker Maintainers "[email protected]"

ENV NGINX_VERSION 1.12.0

RUN GPG_KEYS=B0F4253373F8F6F510D42178520A9993A1C052F8 \
	&& CONFIG="\
		--prefix=/etc/nginx \
		--sbin-path=/usr/sbin/nginx \

aCandidMind

-- show running queries (pre 9.2)
SELECT procpid, age(query_start, clock_timestamp()), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(query_start, clock_timestamp()), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

aCandidMind

from datetime import datetime
from sqlalchemy import Column, Integer, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declared_attr
from flask_security import current_user


class AuditMixin(object):
    created_at = Column(DateTime, default=datetime.now)
    updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)