dyjjones

dyjjones

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

dyjjones

My notes for Dokku on Digital Ocean.

These may be a bit outdated: Since I originally wrote them, I've reinstalled on a newer Dokku and may not have updated every section below.

Commands

Install dokku-cli (gem install dokku-cli) for a more Heroku-like CLI experience (dokku config:set FOO=bar).

# List/run commands when not on Dokku server (assuming a "henroku" ~/.ssh/config alias)

ssh henroku dokku

dyjjones

Deploying Phoenix on Dokku

Worked 2015-09-08 for Phoenix 1.0.1 on Dokku 0.3.25.

These instructions assume you've set up Dokku. If not, go find a tutorial for that part. My notes for setting it up on Digital Ocean.

On your local machine, in the app's repo

Create a Dokku app:

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#!/usr/bin/env python

"""
How to use it:
1. Just `kill -2 PROCESS_ID` or `kill -15 PROCESS_ID` , The Tornado Web Server Will shutdown after process all the request.
2. When you run it behind Nginx, it can graceful reboot your production server.

3. Nice Print in http://weibo.com/1682780325/zgkb7g8k7

"""

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"""
Bisection, Secant & Newton Raphson Method.
"""

import math
"""
* Variable Description:
*
* f			:	Given function
* f_		:	Derivative of f

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from __future__ import with_statement
from alembic import context
from sqlalchemy import engine_from_config, pool
from logging.config import fileConfig

import os
import sys 
basedir = os.path.abspath(os.path.dirname(__file__) + '/../')
sys.path.append(basedir)
from app.models import db

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""

pip install networkx distance pattern 

In Flipboard's article[1], they kindly divulge their interpretation
of the summarization technique called LexRank[2].

dyjjones

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

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var im = require('imagemagick');
var Guid = require('guid');
var siteConf = require('./lib/getConfig');
var lib = new require('./lib/asms-client.js')(app, cf).streamLib;

function ingestPhoto(req, res, next){
  if (req.files.image) {
    im.identify(req.files.image.path, function(err, features){
      if (features && features.width) {
        var guid = Guid.create();