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
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Christian Joudrey
February 18, 2015
Technology
6.1k
6
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by Christian Joudrey
See All by Christian Joudrey
Writing NES games! with assembly!!
cjoudrey
1
790
Developing at Scale
cjoudrey
3
530
Tips and Tricks from Shopify's codebase
cjoudrey
2
590
Scaling Shopify
cjoudrey
3
580
#pairwithme
cjoudrey
3
270
Two-factor authentication
cjoudrey
4
420
Automate your Infrastructure with Chef
cjoudrey
9
670
Other Decks in Technology
See All in Technology
なぜSRE・セキュリティは評価されないのか?守りの組織を事業成長エンジンに変えた実践
cscengineer
PRO
3
2.3k
2026/09/10 Spring_Bootから_Jakarta_EE_MicroProfileへの移行
megascus
0
230
Bet AI Day 2026丨Production-Ready AI Agents — エンタープライズの実務を任せるための設計と運用
layerx
PRO
4
2.6k
TinyGo 開発サイクルを高速化する:Go で作るエミュレータ入門
zozotech
PRO
1
120
AIで実装は速くなった。なのにプロダクトは速くならない。職能の壁を越えて価値のフローを設計する
nwiizo
7
7.4k
ペアプロの価値はコードを書くことだけじゃない
codmoninc
PRO
0
140
Multica × 長期記憶:40個のミニプロジェクト管理
eiei114
1
200
Snowflakeのコスト最適化を支えるアーキテクチャ設計
ktatsuya
0
460
Reactの設計論
uhyo
4
590
AIエージェントの開発・提供におけるセキュリティリスクの論点と対策
flatt_security
2
610
AI-DLCって実際どう? 〜聞きたいこと全部聞いてみる〜
news_it_enj
0
240
Benchmarking Vector Databases: pgvector vs. LanceDB
tsho
0
150
Featured
See All Featured
Designing for humans not robots
tammielis
254
26k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
2
3.8k
We Have a Design System, Now What?
morganepeng
55
8.3k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
68
57k
How Software Deployment tools have changed in the past 20 years
geshan
1
34k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
520
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
38
3k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
232
55k
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
290
Bootstrapping a Software Product
garrettdimon
PRO
306
120k
sira's awesome portfolio website redesign presentation
elsirapls
0
410
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.6k
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! :)