Ashley Connor ashleyconnor

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

Frontend Development

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Flask + uWSGI + nginx Primer

I've been having trouble with serving a Flask app via uWSGI and nginx, so I thought I'd put together some of the basics to help out others.

How this shit works

Flask is managed by uWSGI.
uWSGI talks to nginx.

How to set up stress-free SSL on an OS X development machine

One of the best ways to reduce complexity (read: stress) in web development is to minimize the differences between your development and production environments. After being frustrated by attempts to unify the approach to SSL on my local machine and in production, I searched for a workflow that would make the protocol invisible to me between all environments.

Most workflows make the following compromises:

Use HTTPS in production but HTTP locally. This is annoying because it makes the environments inconsistent, and the protocol choices leak up into the stack. For example, your web application needs to understand the underlying protocol when using the secure flag for cookies. If you don't get this right, your HTTP development server won't be able to read the cookies it writes, or worse, your HTTPS production server could pass sensitive cookies over an insecure connection.
Use production SSL certificates locally. This is annoying

This is not intended to be comprehensive or authoritative, just free online resources I've found valuable while learning more about Erlang.

Similar lists

Instruction

Turning PostgreSQL into a queue serving 10,000 jobs per second

RDBMS-based job queues have been criticized recently for being unable to handle heavy loads. And they deserve it, to some extent, because the queries used to safely lock a job have been pretty hairy. SELECT FOR UPDATE followed by an UPDATE works fine at first, but then you add more workers, and each is trying to SELECT FOR UPDATE the same row (and maybe throwing NOWAIT in there, then catching the errors and retrying), and things slow down.

On top of that, they have to actually update the row to mark it as locked, so the rest of your workers are sitting there waiting while one of them propagates its lock to disk (and the disks of however many servers you're replicating to). QueueClassic got some mileage out of the novel idea of randomly picking a row near the front of the queue to lock, but I can't still seem to get more than an an extra few hundred jobs per second out of it under heavy load.

So, many developers have started going straight t

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

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.

	Tricks to add encrypted private SSH key to .travis.yml file


	To encrypt the private SSH key into the "-secure: xxxxx....." lines to place in the .travis.yml file, generate a deploy key then run: (to see what the encrypted data looks like, see an example here: https://github.com/veewee-community/veewee-push/blob/486102e6f508214b04414074c921475e5943f682/.travis.yml#L21

	base64 --wrap=0 ~/.ssh/id_rsa > ~/.ssh/id_rsa_base64
	ENCRYPTION_FILTER="echo \$(echo \"-\")\$(travis encrypt veewee-community/veewee-push \"\$FILE='\`cat $FILE\`'\" \| grep secure:)"
	split --bytes=100 --numeric-suffixes --suffix-length=2 --filter="$ENCRYPTION_FILTER" ~/.ssh/id_rsa_base64 id_rsa_

	# unicorn

	description "unicorn ruby app server"

	start on (local-filesystems and net-device-up IFACE=lo and runlevel [2345])
	stop on runlevel [!2345]

	env WORKDIR=/data
	env PIDFILE=/data/tmp/pids/unicorn.pid
	env CFGFILE=/data/config/unicorn.rb