Mathieu Ravaux mathieuravaux

Spike

I looked into the state of GraalVM and Clojure and wrote some small work-related scripts.

GraalVM Build Tools

Downloaded GraalVM and set $GRAALVM_HOME
Found two main libraries for building GraalVM CLIs - https://github.com/luchiniatwork/cambada#packaging-as-a-native-image and https://github.com/taylorwood/clj.native-image (or https://github.com/taylorwood/lein-native-image for the lein equivalent). I chose clj.native-image as it seemed more focused on doing one thing well.
First tried its template example which was easy to follow.
Then added a graalvm build to one of our small cli tools
Found it to be pretty straightforward except for a stdout flushing issue that was trivial to fix

The Anatomy of an Onyx Program

In this tutorial, we'll take an in-depth view of what's happening when you execute a simple Onyx program. All of the code can be found in the Onyx Starter repository if you'd like to follow along. The code uses the development environment with HornetQ and ZooKeeper running in memory, so you don't need additional dependencies to run the example for yourself on your machine.

The Workflow

At the core of the program is the workflow - the flow of data that we ingest, apply transformations to, and send to an output for storage. In this program, we're going to ingest some sentences from an input source, split the sentence into individual words, play with capitalization, and add a suffix. Finally, we'll send the transformed data to an output source.

Let's examine the workflow pictorially:

Emoji Spec

Tired of the same, dull rspec output? liven it up with some emoji!

Below are the sets presently available, and their corresponding id. if you don't set an ID, one will be randomly chosen every run. Emoji icons may not render in certain terminals.

(pass, fail, pending)

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
Scaling Twitter: Making Twitter 10000 Percent Faster

Tales From a Heroku User

Here are some things I have learned along the way.

Last Updated: 2013-02-08

Original Audience: Hack Reactor

About

705696364586003	93566	enc/encdb.so
705696365603476	19532	enc/encdb.so
705696365698893	89233	enc/trans/transdb.so
705696366174494	102380	rubygems.rb
705696369476830	118348	rubygems/defaults
705696369880115	59824	rbconfig
705696372745657	73832	rubygems/deprecate
705696373318504	61119	rubygems/exceptions
705696373838301	96976	rubygems/defaults/operating_system
705696373947581	85294	rubygems/defaults/ruby

	require 'json'
	require 'rest-client'
	require 'heroku'
	require "heroku/command/base"
	require "anvil"
	require "anvil/engine"
	require "uri"

	class Cisaurus

	-module(gen_event_caster).
	-author('Fernando Benavides <elbrujohalcon@inaka.net>').

	-behaviour(gen_event).

	-export([start/2]).
	-export([init/1, handle_event/2, handle_call/2, handle_info/2, terminate/2, code_change/3]).

	-type receiver() :: atom() \| pid().

	.bundle
	bundle
	vendor