mhuckaby

openssl s_client -cipher EXPORT -connect domain.com:443 < /dev/null 2>/dev/null | grep SSL-Session | wc -l

mhuckaby

from datetime import timedelta, datetime

td_pst = timedelta(seconds=-25200.0)
td_cst = timedelta(seconds=-18000.0)
td_et = timedelta(seconds=-14400.0)
td_london = timedelta(seconds=+3600.0)

date_time_obj = datetime.strptime("10:00:00 +0000", '%H:%M:%S %z')

print(f"dto: {date_time_obj}")

mhuckaby

Recently, I was asked to pitch a method for providing recommendations.  Luckily, armed with the knowledge obtained from talks from Max De Marzi and [Mark Needham](https://skillsmatter.com/skillscasts/7298-modelling-a-recommendation-engine-a-worked-example) at a recent  Neo4j London Meetups, I knew this could be easily achieved with Neo4j.

The key issue with recommendation engines comes from the data.  Luckily, Neo4j comes bundled with the Northwind Graph Example.  The Northwind database is an infamous dataset containing purchase history that has been used to teach relational databases for years and was a great place to start.  You can import the Northwind database into a graph by following the ["Import Data into Neo4j"](http://neo4j.com/developer/guide-importing-data-and-etl/) post on Neo4j or type the following into Neo4j's browser at `http://localhost:7474/`

    :play northwind graph

Firstly, let's load in the data:

[source,cypher]

mhuckaby

##
## Add as a `Snippet` to Chrome and use to expand the content column of AWS Documentation pages
## https://developers.google.com/web/tools/chrome-devtools/javascript/snippets
##
## OPT+CMD+I
## CMD+SHIFT+P
## ! [ENTER]
##

$('#left-column').remove();

mhuckaby

Convert MOV to GIF using FFmpeg and ImageMagick

I tried a few different techniques to make a GIF via command-line and the following gives me the best control of quality and size. Once you're all setup, you'll be pumping out GIFs in no time!

Preparation

Install FFmpeg

• $ brew install ffmpeg [all your options]
  • Example: $ brew install ffmpeg --with-fdk-aac --with-ffplay --with-freetype --with-frei0r --with-libass --with-libvo-aacenc --with-libvorbis --with-libvpx --with-opencore-amr --with-openjpeg --with-opus --with-rtmpdump --with-schroedinger --with-speex --with-theora --with-tools

Install ImageMagick

mhuckaby

### Keybase proof

I hereby claim:

  * I am mhuckaby on github.
  * I am mhuckaby (https://keybase.io/mhuckaby) on keybase.
  * I have a public key ASCM3A23VOU9tSCX3W8GOwFReiqipXCoI0wxjuHQ-sfddgo

To claim this, I am signing this object:

mhuckaby

#RxJS 5 Operators By Example

UPDATE: I have moved the contents of this gist plus more to https://github.com/btroncone/learn-rxjs and http://www.learnrxjs.io. For expanded examples, explanations, and resources, please check out this new location!

A complete list of RxJS 5 operators with easy to understand explanations and runnable examples.

Chinese Version by: @DrakeLeung

Table of Contents

• buffer

mhuckaby

# rxjs-extensions.js (same dir as app.module.ts)

// Observable class extensions
import 'rxjs/add/observable/of';
import 'rxjs/add/observable/throw';

// Observable operators
import 'rxjs/add/operator/catch';

mhuckaby

Session Management in an Autoscaling Environment

Problem Statement

User sessions in J2EE and LAMP stacks have traditionally been handled in memory by the application server handling the user request. Because of that, load balancers have been configured to use sticky sessions. By sticky sessions we mean that once the user has visited the site, they will be assigned an app server and will return to that server for subsequent requests. The load balancers typically handle that by referencing the users session cookie.

Elastic cloud environments differ from traditional server configurations in that they have a variable number of servers based on traffic loads whereas traditional configurations had a fixed number of servers. When traffic volumes decline it is necessary to vaporize servers. In doing so, we would lose user sessions (essentially forcing a logout) unless we come up with a new strategy for session management.

A new approach

After much research, it is clear that the best

mhuckaby

#! /bin/sh
# ==================================================================
#  ______                           __     _____
# /_  __/___  ____ ___  _________ _/ /_   /__  /
#  / / / __ \/ __ `__ \/ ___/ __ `/ __/     / /
# / / / /_/ / / / / / / /__/ /_/ / /_      / /
#/_/  \____/_/ /_/ /_/\___/\__,_/\__/     /_/

# Multi-instance Apache Tomcat installation with a focus
# on best-practices as defined by Apache, SpringSource, and MuleSoft