PikachuEXE

FROM user/baseimage:version-tag


# 1. This is VERY basic
# 2. Need to load RVM first during build
# 3. Create empty folders for runtime files
RUN \
  rm /bin/sh && ln -s /bin/bash /bin/sh && \
  mkdir -p \
    /home/app/webapp \

woudsma

TLS secured TCP exposed Docker daemon on Dokku host - setup

1. Create certificates
2. Edit Docker options
3. Restart Docker
4. Copy client certificates from host
5. (optional) Add remote endpoint in Portainer

Tested on a standard $5/mo DigitalOcean VPS running Ubuntu 16.04.

---

iffy

node_modules
dist/
yarn.lock
wwwroot

ozlerhakan

#!/bin/bash
#
# Docker Daemon varsayilan olarak ag iletisimi olmadan
# sadece Unix socket uzerinden calismaktadir. 
# Docker Client ve Daemon arasinda HTTPS uzerinden 
# guvenli iletisimin kurulmasi icin TLS aktif hale getirilmelidir.
# Client ve Server/daemon arasindaki guvenli iletisim agi
# icin gereken client ve server sertifikasyonlarini
# olusturmaliyiz.
# 

SZanlongo

Host

gst-launch-1.0 -v v4l2src device=/dev/video0
! "image/jpeg,width=1280, height=720,framerate=30/1"
! rtpjpegpay
! udpsink host=$myip port=$myport

Client

gst-launch-1.0 -e -v udpsrc port=$myport !
application/x-rtp, encoding-name=JPEG,payload=26 !
rtpjpegdepay ! jpegdec ! \

statickidz

---
METHOD 1

This should roughly sort the items on distance in MySQL, and should work in SQLite.
If you need to sort them preciser, you could try using the Pythagorean theorem (a^2 + b^2 = c^2) to get the exact distance.
---
SELECT *
FROM table
ORDER BY ((lat-$user_lat)*(lat-$user_lat)) + ((lng - $user_lng)*(lng - $user_lng)) ASC

brock

# This is just a cheat sheet:

# On production
sudo -u postgres pg_dump database | gzip -9 > database.sql.gz

# On local
scp -C production:~/database.sql.gz
dropdb database && createdb database
gunzip < database.sql.gz | psql database

brianburridge

namespace :json do
  desc "Export all data to JSON files"
  task :export => :environment do
    Rails.application.eager_load!

    ActiveRecord::Base.descendants.each do |model|
      file = File.open(File.join(Rails.root, "db", "export", "#{model.table_name}.json"), 'w')
      file.write model.all.to_json
      file.close
    end

ngsmrk

stats = Sidekiq::Stats.new

stats.queues

stats.enqueued

stats.processed

stats.failed

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.