Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Chasing the Elephant
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Theo Hultberg
August 15, 2013
Programming
0
100
Chasing the Elephant
JRubyConfEU 2013
Theo Hultberg
August 15, 2013
Tweet
Share
More Decks by Theo Hultberg
See All by Theo Hultberg
Datalakes at AWS Summit Stockholm 2018
iconara
0
99
Building a CQL driver
iconara
0
73
Learning to Build Distributed Systems the Hard Way
iconara
1
150
Learning to Build Distributed Systems the Hard Way
iconara
2
220
Learning to Build Distributed Systems the Hard Way
iconara
3
5.2k
Concurrency and Distributed Systems in JRuby
iconara
3
690
A Guide to the Post Relational Revolution
iconara
4
5.4k
Standing on the Shoulders of Giants with JRuby
iconara
4
170
Shortcuts Around the Mistakes I've Made Scaling MongoDB
iconara
4
170
Other Decks in Programming
See All in Programming
Amazon Bedrockを活用したRAGの品質管理パイプライン構築
tosuri13
4
240
AI 駆動開発ライフサイクル(AI-DLC):ソフトウェアエンジニアリングの再構築 / AI-DLC Introduction
kanamasa
12
6.5k
AI時代の認知負荷との向き合い方
optfit
0
140
Smart Handoff/Pickup ガイド - Claude Code セッション管理
yukiigarashi
0
120
AI前提で考えるiOSアプリのモダナイズ設計
yuukiw00w
0
220
SourceGeneratorのススメ
htkym
0
190
FOSDEM 2026: STUNMESH-go: Building P2P WireGuard Mesh Without Self-Hosted Infrastructure
tjjh89017
0
150
React 19でつくる「気持ちいいUI」- 楽観的UIのすすめ
himorishige
11
5.9k
humanlayerのブログから学ぶ、良いCLAUDE.mdの書き方
tsukamoto1783
0
180
AI によるインシデント初動調査の自動化を行う AI インシデントコマンダーを作った話
azukiazusa1
1
680
Fluid Templating in TYPO3 14
s2b
0
130
16年目のピクシブ百科事典を支える最新の技術基盤 / The Modern Tech Stack Powering Pixiv Encyclopedia in its 16th Year
ahuglajbclajep
5
990
Featured
See All Featured
How Software Deployment tools have changed in the past 20 years
geshan
0
32k
How to Think Like a Performance Engineer
csswizardry
28
2.4k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
10
1.1k
GraphQLの誤解/rethinking-graphql
sonatard
74
11k
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
88
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
110
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
150
Leading Effective Engineering Teams in the AI Era
addyosmani
9
1.6k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
0
3.4k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
200
Building an army of robots
kneath
306
46k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.6k
Transcript
@iconara CHASING THE ELEPHANT
Theo / @iconara
chief architect at BURT
big data analytics with JRuby
RUBY
RUBY
RUBY JRUBY
JRUBY IS AWESOME BECAUSE RUBY IS GREAT, AND THE JVM
IS GREAT
hot_bunnies, eurydice, multimeter, mikka, msgpack-jruby
None
HADOOP
JRUBY SUPERCOMPUTING 40 TiB data, 120 EC2 cc2.8xlarge, 1920 cores,
7260 GiB RAM
JAVA ALL THE WAY DOWN
HADOOP STREAMING Wukong, Dumbo
RUBYDOOP rubydoop.org + =
None
None
main()
Class.forName("...")
Class.forName("...")
None
module WordCount class Mapper def map(key, value, context) value.to_s.downcase.split.each do
|word| key = Hadoop::Io::Text.new(word) value = Hadoop::Io::IntWritable.new(1) context.write(key, value) end end end end
RUBYDOOP IS LOW LEVEL I would love to see someone
write something like Scalding or Cascading on top of it
RUBYDOOP rubydoop.org
RUBYDOOP rubydoop.org v1.1.0
KTHXBAI @iconara github.com/iconara architecturalatrocities.com burtcorp.com