philthynz

Firefly III install on Ubuntu 18.04

These instructions will install Firefly III on Ubuntu 18.04. It includes setup for:

• PHP 7.2
• Nginx
• MariaDB
• Securing an Ubuntu server
• Securing Maria DB
• Let's Encrypt

rafaeltuelho

My Openshift Cheatsheet

Project Quotes, Limits and Templates

• Cluster Quota

oc create clusterquota env-qa \
    --project-label-selector environment=qa \
    --hard pods=10,services=5
    
oc create clusterquota user-qa \

Dunkelheit

var Benchmark = require('benchmark');
var schemaManager = require('schema-inspector');
var tv4 = require('tv4');

var suite = new Benchmark.Suite;

var schema = {
    count: {
        optional: true
    },

KyleAMathews

Disclaimer

I'm still very new to Kafka, eventsourcing, stream processing, etc. I'm in the middle of building my first production system with this stuff and am writing this at the request of a few folks on Twitter. So if you do have experience, please do me and anyone else reading this a favor by pointing out things I get wrong :)

Inspirations

• The Log — http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
• Turning the database inside out — http://www.confluent.io/blog/2015/03/04/turning-the-database-inside-out-with-apache-samza/
• Why local state is a fundamental primitive in stream processing — http://radar.oreilly.com/2014/07/why-local-state-is-a-fundamental-primitive-in-stream-processing.html
• Samza
• Various functional systems been exposed to over past year or so, React, Flux, RX, etc.

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

yruss972

#
# Setup destination directory
#
export MY_CB_DIR=/opt/couchbase
mkdir ${MY_CB_DIR}

# Install pre-requisite packages
/opt/local/bin/pkgin -y in libtool-base autoconf automake git gcc47 gnupg gmake libevent icu py27-expat snappy erlang-15 subversion-base go gettext

#

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.

jctanner

imgadm import a1d74530-4212-11e3-8a71-a7247697c8f2
vmadm create <<EOF
{
  "alias": "ansible"
  ,"hostname": "ansible"
  ,"zfs_root_compression": "on"
  ,"autoboot": false
  ,"brand": "joyent"
  ,"dataset_uuid": "a1d74530-4212-11e3-8a71-a7247697c8f2"
  ,"max_physical_memory": 256

jmervine

#
# Tasks
#
# - start   :: starts application using forever
# - stop    :: stops application using forever
# - restart :: restart application using forever
#

# This set's your local directory to to your NODE_PATH
NODE_EXEC    = NODE_PATH=.:$(NODE_PATH)

revnode

tar -cvz /<path>/ | gpg --encrypt --recipient <keyID> > /<backup-path>/backup_`date +%d_%m_%Y`.tar.gz.gpg