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
Scaling Rails for Black Friday / Cyber Monday a...
Search
Christian Joudrey
February 18, 2015
Technology
6
6k
Scaling Rails for Black Friday / Cyber Monday at Shopify
Talk given at ConFoo 2015 on February 18th, 2015 and RailsConf 2015.
Christian Joudrey
February 18, 2015
Tweet
Share
More Decks by Christian Joudrey
See All by Christian Joudrey
Writing NES games! with assembly!!
cjoudrey
1
760
Developing at Scale
cjoudrey
3
500
Tips and Tricks from Shopify's codebase
cjoudrey
2
580
Scaling Shopify
cjoudrey
3
560
#pairwithme
cjoudrey
3
260
Two-factor authentication
cjoudrey
4
400
Automate your Infrastructure with Chef
cjoudrey
9
630
Other Decks in Technology
See All in Technology
問い合わせ自動化の技術的挑戦
recruitengineers
PRO
2
150
新職業『オーケストレーター』誕生 — エージェント10体を同時に回すAgentOps
gunta
4
1.4k
トップマネジメントとコンピテンシーから考えるエンジニアリングマネジメント
zigorou
3
550
開発組織の課題解決を加速するための権限委譲 -する側、される側としての向き合い方-
daitasu
4
250
DX Improvement at Scale
ntk1000
2
290
OpenClawで回す組織運営
jacopen
2
510
Agentic Software Modernization - Back to the Roots (Zürich Agentic Coding and Architectures, März 2026)
feststelltaste
1
170
型を書かないRuby開発への挑戦
riseshia
0
190
Evolution of Claude Code & How to use features
oikon48
1
270
Master Dataグループ紹介資料
sansan33
PRO
1
4.4k
Devinを導入したら予想外の人たちに好評だった
tomuro
0
890
Kaggleで鍛えたスキルの実務での活かし方 競技とプロダクト開発のリアル
recruitengineers
PRO
1
160
Featured
See All Featured
The Language of Interfaces
destraynor
162
26k
GraphQLの誤解/rethinking-graphql
sonatard
75
11k
The Cult of Friendly URLs
andyhume
79
6.8k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
The Pragmatic Product Professional
lauravandoore
37
7.2k
Odyssey Design
rkendrick25
PRO
2
530
Chasing Engaging Ingredients in Design
codingconduct
0
130
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Heart Work Chapter 1 - Part 1
lfama
PRO
5
35k
Tell your own story through comics
letsgokoyo
1
830
Done Done
chrislema
186
16k
Evolving SEO for Evolving Search Engines
ryanjones
0
150
Transcript
scaling rails for Black Friday Cyber Monday
cjoudrey @
None
None
None
None
None
the stack
nginx unicorn • rails 4 • mysql 5.6 (percona) ruby
2.1 •
95 app servers 1,800 unicorn workers 18 job servers 1,400
job workers
scale?
None
400,000 reqs/min
3.7B$ annual GMV that’s 7,000$ per min
Black Friday Cyber Monday
Black Friday Cyber FUNday
None
~ 600,000 reqs/min
1 request 1 process =
scale++ ↓ resp. time ↑ workers
page caching
None
None
shopify/cacheable
generational caching
gzip • etag + 304 not modified
class PostsController < ApplicationController def index response_cache do @posts =
@shop.posts.paginate(params[:page]) respond_with(@posts) end end def cache_key_data { shop_id: @shop.id, path: request.path, format: request.format, params: params.slice(:page), shop_version: @shop.version } end end
md5( { shop_id: 1, path: '/posts', format: 'text/html', params: {
page: 2 }, shop_version: 123 }.to_s ) GET /posts?page=2
None
sale
query caching
shopify/identity_cache
full model caching
opt-in by design
after_commit expiry
class Product < ActiveRecord::Base include IdentityCache has_many :images cache_has_many :images,
:embed => true end product = Product.fetch(id) images = product.fetch_images
class Product < ActiveRecord::Base include IdentityCache cache_index :shop_id, :handle, :unique
=> true end Product.fetch_by_shop_id_and_handle(shop_id, handle)
None
sale
background jobs
webhooks emails • fraud detection • payment processing
None
priority queues payment • default • low realtime •
throttling
now what?
measure it! if it moves...
statsd
shopify/statsd-instrument
Liquid::Template.extend StatsD::Instrument Liquid::Template.statsd_measure :render, 'Liquid.Template.render'
PaymentProcessingJob.statsd_count :perform, 'PaymentProcessingJob.processed'
None
None
load testing
genghis khan
simulate Black Friday Cyber Monday before it happens
several times per week
slow queries
# User@Host: shopify[shopify] @ [127.0.0.1] # Thread_id: 264419969 Schema: shopify
Last_errno: 0 Killed: 0 # Query_time: 0.150491 Lock_time: 0.000057 Rows_sent: 1 Rows_examined: 147841 Rows_affected: 0 Rows_read: 147841 # Bytes_sent: 1214 Tmp_tables: 0 Tmp_disk_tables: 0 Tmp_table_sizes: 0 # InnoDB_trx_id: FF7021AAA # QC_Hit: No Full_scan: No Full_join: No Tmp_table: No Tmp_table_on_disk: No # Filesort: Yes Filesort_on_disk: No Merge_passes: 0 # InnoDB_IO_r_ops: 0 InnoDB_IO_r_bytes: 0 InnoDB_IO_r_wait: 0.000000 # InnoDB_rec_lock_wait: 0.000000 InnoDB_queue_wait: 0.000000 # InnoDB_pages_distinct: 475 SET timestamp=1393385020; SELECT `discounts`.* FROM `discounts` WHERE `discounts`.`shop_id` = 1745470 AND `discounts`.`status` = 'enabled' ORDER BY ISNULL(ends_at) DESC, ends_at DESC LIMIT 1
determining root cause
https://github.com/newobj/nginx-x-rid-header nginx request_id header proxy_set_header X-Request-ID "$request_id"; log_format main '...
$request_id' step 1
https://gist.github.com/mnutt/566725 Complete 200 OK in 100ms (Views: 60ms | ActiveRecord:
40ms | request_id=bc12813bce...) log_process_action ActionController::Instrumentation step 2
https://github.com/basecamp/marginalia User Load (0.3ms) SELECT `users`.* FROM `users` WHERE `users`.`id`
= 1 LIMIT 1 /*application:Shopify, controller:users,action:show, request_id:bc12813bce...*/ basecamp/marginalia step 3
# User@Host: shopify[shopify] @ [127.0.0.1] # Thread_id: 264419969 Schema: shopify
Last_errno: 0 Killed: 0 # Query_time: 0.150491 Lock_time: 0.000057 Rows_sent: 1 Rows_examined: 147841 Rows_affected: 0 Rows_read: 147841 # Bytes_sent: 1214 Tmp_tables: 0 Tmp_disk_tables: 0 Tmp_table_sizes: 0 # InnoDB_trx_id: FF7021AAA # QC_Hit: No Full_scan: No Full_join: No Tmp_table: No Tmp_table_on_disk: No # Filesort: Yes Filesort_on_disk: No Merge_passes: 0 # InnoDB_IO_r_ops: 0 InnoDB_IO_r_bytes: 0 InnoDB_IO_r_wait: 0.000000 # InnoDB_rec_lock_wait: 0.000000 InnoDB_queue_wait: 0.000000 # InnoDB_pages_distinct: 475 SET timestamp=1393385020; SELECT `discounts`.* FROM `discounts` WHERE `discounts`.`shop_id` = 1745470 AND `discounts`.`status` = 'enabled' ORDER BY ISNULL(ends_at) DESC, ends_at DESC LIMIT 1 /*application:Shopify,controller:orders,action:pay, request_id:bc12813bce...*/ profit!
access.log rails.log slow_query.log profit! (2)
bonus! background jobs
schema migration with zero downtime
soundcloud/lhm
class NewIndexOnOrders < ActiveRecord::Migration def self.up Lhm.change_table :orders do |m|
m.add_index [:shop_id, :customer_id] end end def self.down # end end
orders 20140520_orders
insert/delete/update triggers
INSERT INTO ... SELECT ... insert/delete/update triggers
async caveat
resiliency
A resilient system is one that functions with one or
more components being unavailable or unacceptably slow. -
don’t let a take you down minor dependencies
shopify/toxiproxy ☢ redis memcached sessions your app toxiproxy
def load_customer if customer_id = session[:customer_id] @customer = Customer.find_by_id(customer_id) end
end
def load_customer if customer_id = session[:customer_id] @customer = Customer.find_by_id(customer_id) end
rescue Sessions::DataStoreUnavailable @customer = nil end
def test_storefront_resilient_to_sessions_down Toxiproxy[:sessions_data_store].down do get '/' assert_response :success end end
rinse & repeat http://www.shopify.com/technology/16906928-building-and-testing-resilient-ruby-on-rails-applications
what about resources? slow
shard 2 shard 3 shard 1 shop 4, 5, 6
shop 7, 8, 9 shop 1, 2, 3
rails request shard 2 shard 3 shard 1 shop 4,
5, 6 shop 7, 8, 9 shop 1, 2, 3
rails request shard 2 shard 3 shard 1 shop 4,
5, 6 shop 7, 8, 9 shop 1, 2, 3
how can we fail fast?
shopify/semian smart circuit-breaker
shopify/semian Semian.register(:mysql_shard_1, tickets: 5, timeout: 0.5, error_threshold: 100, error_timeout: 10,
success_threshold: 2)
shopify/semian Semian[:mysql_shard_1].acquire do # Query the resource end
rails request shard 2 shard 3 shard 1 shop 4,
5, 6 shop 7, 8, 9 shop 1, 2, 3
what else can go wrong?
Shopify Shipping rate providers Payment gateways Fulfillment services (FedEX, UPS,
USPS, etc..) (Stripe, PayPal, etc..) (Shipwire, etc…) Internal services (MySQL, Memcached, etc..)
manual circuit breakers around external dependencies
thanks! :)