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
4 years building services at peerTransfer
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Felipe Talavera
October 17, 2014
Programming
1
67
4 years building services at peerTransfer
Felipe Talavera
October 17, 2014
Tweet
Share
More Decks by Felipe Talavera
See All by Felipe Talavera
web development with ruby
felipetalavera
0
120
infrastructure at peertransfer
felipetalavera
3
300
ruby + rails
felipetalavera
5
570
Other Decks in Programming
See All in Programming
AI時代の認知負荷との向き合い方
optfit
0
160
HTTPプロトコル正しく理解していますか? 〜かわいい猫と共に学ぼう。ฅ^•ω•^ฅ ニャ〜
hekuchan
2
690
要求定義・仕様記述・設計・検証の手引き - 理論から学ぶ明確で統一された成果物定義
orgachem
PRO
1
190
AIによるイベントストーミング図からのコード生成 / AI-powered code generation from Event Storming diagrams
nrslib
2
1.9k
Basic Architectures
denyspoltorak
0
680
AgentCoreとHuman in the Loop
har1101
5
240
Apache Iceberg V3 and migration to V3
tomtanaka
0
170
生成AIを使ったコードレビューで定性的に品質カバー
chiilog
1
270
20260127_試行錯誤の結晶を1冊に。著者が解説 先輩データサイエンティストからの指南書 / author's_commentary_ds_instructions_guide
nash_efp
1
990
そのAIレビュー、レビューしてますか? / Are you reviewing those AI reviews?
rkaga
6
4.6k
Smart Handoff/Pickup ガイド - Claude Code セッション管理
yukiigarashi
0
140
例外処理とどう使い分ける?Result型を使ったエラー設計 #burikaigi
kajitack
16
6.1k
Featured
See All Featured
RailsConf 2023
tenderlove
30
1.3k
The untapped power of vector embeddings
frankvandijk
1
1.6k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
120
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
920
Docker and Python
trallard
47
3.7k
Darren the Foodie - Storyboard
khoart
PRO
2
2.4k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
79
Side Projects
sachag
455
43k
Chasing Engaging Ingredients in Design
codingconduct
0
110
Building Applications with DynamoDB
mza
96
6.9k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Paper Plane
katiecoart
PRO
0
46k
Transcript
4 years building services Felipe Talavera
A.K.A. Services vs Monoliths
"Microservices" - yet another new term on the crowded streets
of software architecture. http://martinfowler.com/articles/microservices.html -Martin Fowler
None
1B$ process +500 schools almost 4 years
0 sinatra 1 rails 0 daemons 0 libraries 1 server
November 2010!
None
0 sinatra 2 rails 1 daemons 0 libraries 2 servers
January 2011!
HTTP REST API’s! ! Async process with a message broker
None
App per git repo! ! Apps are deployed separately !
Infra as code
Issues
Features involving multiple apps ! One rails app failure affect
the other ! Complex monitoring/acceptance needed !
dependency resolution ! version tagging and deployment! ! handling performance
degradation Manual
! Error Handling cascading, trace, storm, retry
Infra on AWS June 2012!
http://martinfowler.com/bliki/MicroservicePrerequisites.html Rapid provisioning Basic Monitoring Rapid application deployment
4 sinatra 4 rails 4 daemons 3 libraries 6 servers
June 2012!
None
None
None
10 sinatra 4 rails 8 daemons 7 libraries 21 servers
October 2014!
teams around services
Accidental complexities
API consumers Auto generated consumer, ex: ActiveResource ! Cross app
testing, consumer mock mode ! Recording traffic, VCR approach
A/B testing across apps ! Feature flagging
None
40 sinatra 3 rails 15 daemons 20 libraries 40 servers
July 2016!
! Docker containers ! Consul ! Etcd ! Terraform Our
next steps:!
Modern alternatives !
! Hystrix/RxJava Latency and Fault Tolerance for Distributed Systems Java
lib runs in JVM languages, scala, clojure, etc… from netflix http://blog.josephwilk.net/clojure/building-clojure-services-at-scale.html
! Finagle Pipes-and-Filters meets Futures model. Thrift for RPC ZooKeeper
for Service Discovery from twitter Finatra Scala lib
! Zipkin A distributed tracing system
Apache Mesos Develop and run resource-efficient distributed systems ! !
Cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Learned lessons! ! What things we would do differently?
Thanks!