emilio2hd

Configuring Elasticsearch + Logstash + Kibana using Docker

Here, there are some configs to use Elasticsearch as a Docker container and Logstash + Kibana as well.

You will see that Elasticsearch config is separated from Logstash and Kibana because I'm assuming that you want to use the ES container to other things rather than only log analyses.

Docker instalation

Go to https://docs.docker.com/install/ and open the "Docker CE" menu, choose you OS and follow their instructions.

After install, open your terminal and type:

benoittgt

RailsConf 2017: In Relentless Pursuit of REST by Derek Prior

Slides : https://speakerdeck.com/derekprior/in-relentless-pursuit-of-rest Talk : https://www.youtube.com/watch?v=HctYHe-YjnE

• REST help rails growing

• More small things (small models, controllers, services, views...)

• [Anti-pattern] Custom actions

  • When having noun#verb_noun (users#edit_password, users#update_password) = Missing resource

sheerun

{
  "registry": "https://registry.bower.io"
}

Lulu117

Subscriptions

• Learn how to set up basic subscriptions
• Create composable service objects
• Advanced subscriptions techniques

---

So far in this book we've talked about how to sell products once. A customer selects a product, puts their information in, and hits the "buy now" button, and that's end of our interaction with them.

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

mcshakes

$ rails c
Running via Spring preloader in process 7916
/Users/edmac/.rvm/gems/ruby-2.3.1/gems/activesupport-5.0.0.1/lib/active_support/dependencies.rb:293:in `require': dlopen(/Users/edmac/.rvm/rubies/ruby-2.3.1/lib/ruby/2.3.0/x86_64-darwin14/readline.bundle, 9): Library not loaded: /usr/local/opt/readline/lib/libreadline.6.dylib (LoadError)
  Referenced from: /Users/edmac/.rvm/rubies/ruby-2.3.1/lib/ruby/2.3.0/x86_64-darwin14/readline.bundle
  Reason: image not found - /Users/edmac/.rvm/rubies/ruby-2.3.1/lib/ruby/2.3.0/x86_64-darwin14/readline.bundle
  
  
  Fixed with: 
  
  ln -s /usr/local/opt/readline/lib/libreadline.7.0.dylib /usr/local/opt/readline/lib/libreadline.6.dylib

mildavw

Used properly, the waiting strategy that certain Capybara matchers employ can solve most of those pesky intermittently failing full-stack/browser tests. Pretty much all of them† are due to race conditions between the processes running your tests, the app you're testing, and the browser (which includes both the rendering of the dom, your javascript running there, and if you're calling outside services, The Internet.) The race condition may resolve with 100% consistency on your local dev machine, but when your CI server runs the code, sometimes one process wins, sometimes another. The result is an intermittently failing test that you can only repro on a remote CI machine.

If your developent environment is significantly different than the CI environment, the barriers to effectively troubleshooting the problem may be too high. What I've seen a lot of developers do is just "punt" and insert a sleep(2) in their tests to increase the probabilty that the other processes finish first. And then write the test assumi

garybernhardt

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

mfikes

An experimental change for fast Clojure REPL startup:

1. Download the JAR: clojure-1.8.0-fast.jar
2. Launch it via java -jar clojure-1.8.0-fast.jar

The code used to create this JAR is on GitHub.

What's it doing?

It is:

atduskgreg

Interactive Machine Learning

Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.

• Power to the People: The Role of Humans in Interactive Machine Learning by Knox, Cakmak, Kulesza, Amershi, and Lau
• A Few Useful Things to Know about Machine Learning by Domingos
• Machine Learning that Matters by Wagstaff
• Beyond Concise and Colorful: Learning Intelligible Rules by Pazzani et al.
• [Designing Games with a Purpose] (https://www.cs.cmu.edu/~biglou/GWAP_CACM.pdf) by von Ahn and Dabbish
• [Human Model Evaluation in Interactive Supervised