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
LXJS 2013: backpack — scalable photo storage
Search
Ivan Babrou
October 02, 2013
Programming
2
150
LXJS 2013: backpack — scalable photo storage
http://bobrik.name/talks/lxjs2013.pdf
— slides with notes.
http://youtu.be/T4DgxvS9Xho
— video.
Ivan Babrou
October 02, 2013
Tweet
Share
More Decks by Ivan Babrou
See All by Ivan Babrou
node.js for millions of images
bobrik
7
1.4k
Other Decks in Programming
See All in Programming
アメ車でサンノゼを走ってきたよ!
s_shimotori
0
120
Web Components で実現する Hotwire とフロントエンドフレームワークの橋渡し / Bridging with Web Components
da1chi
3
1.5k
Чего вы не знали о строках в Python – Василий Рябов, PythoNN
sobolevn
0
150
CSS Linter の現在地 2025年のベストプラクティスを探る
ryo_manba
10
3.2k
CSC305 Lecture 04
javiergs
PRO
0
230
株式会社 Sun terras カンパニーデック
sunterras
0
180
Your Perfect Project Setup for Angular @BASTA! 2025 in Mainz
manfredsteyer
PRO
0
110
タスクの特性や不確実性に応じた最適な作業スタイルの選択(ペアプロ・モブプロ・ソロプロ)と実践 / Optimal Work Style Selection: Pair, Mob, or Solo Programming.
honyanya
2
120
開発者への寄付をアプリ内課金として実装する時の気の使いどころ
ski
0
340
SpecKitでどこまでできる? コストはどれくらい?
leveragestech
0
440
(Extension DC 2025) Actor境界を越える技術
teamhimeh
1
200
気づいて!アプリからのSOS 〜App Store Connect APIで始めるパフォーマンス健康診断〜
waka12
0
260
Featured
See All Featured
Building Applications with DynamoDB
mza
96
6.6k
The Art of Programming - Codeland 2020
erikaheidi
56
14k
GitHub's CSS Performance
jonrohan
1032
460k
The Straight Up "How To Draw Better" Workshop
denniskardys
237
140k
[RailsConf 2023] Rails as a piece of cake
palkan
57
5.9k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
610
How GitHub (no longer) Works
holman
315
140k
Done Done
chrislema
185
16k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Optimising Largest Contentful Paint
csswizardry
37
3.4k
Typedesign – Prime Four
hannesfritz
42
2.8k
Transcript
HI THERE, LXJS
% whoami Ian Babrou, Topface.com
60+ million users 100+ million photos
16 photos on main page up to 200 in feed
many small “previews”
This talk is about PHOTOS
Let’s look at some more numbers
12 storage nodes 70TB total space 44TB used
250 TB per month 1.6 Gbps peak 850 Mbps average
powered by node.js & nginx! open-source FTW
ARCHITECTURE aka part 1
frontend cache resizer storage
of course there are frontends, probably more than one frontend
frontend frontend frontend
round-robin dns + ipvs, probably frontend frontend frontend frontend
NGINX ngx_http_upstream_hash_module is your friend
NGINX ngx_http_upstream_hash_module because you need more than one cache, right?
#protip don’t cache anything twice
don’t do: frontend cache cache cache file#3 file#1 file#2 file#1
file#2 file#2 file#3 file#3 file#1
do: frontend cache cache cache file#3 file#1 file#2
NGINX + SSD is just great for caching, forget about
tmpfs
#protip overallocate caches
RESIZING resizing on the fly saves disk, but eats cpu
NGINX ngx_http_image_filter is your friend
BACKPACK aka part 2
first try nginx
okay for 1k files
okay for 10k files
okay for 50k files
okay until you fit in memory or have ssd
RANDOM ACCESS
DISKS ARE SPINNING
node.js to the rescue!
... and redis
... and zookeeper
simple idea: no extra fseek(3)
inspired by haystack from facebook
concatenate small files into bigger
always keep index in memory
REALIZATION ON DISK
3.5 gb files as many as you need
index for each name:offset:length name:offset:length name:offset:length
but.. no worries, this is only needed if redis goes
crazy
REALIZATION IN MEMORY
keys for files name -> file:offset:length name -> file:offset:length name
-> file:offset:length
redis 3.5gb data + index 3.5gb data + index 3.5gb
data + index memory disk all together:
POWERED BY node.js looks like webdav
PUT: 1. write data 2. write index 3. write redis
key
GET: 1. read redis key 2. read data data files
are always open!
let’s read 100K files! 0 37,5 75 112,5 150 backpack
nginx
LESS SEEKS LEAD TO BIGGER THROUGHPUT
BONUS! linearized access for processing
BUT WHAT ABOUT FUTURE?
NO MORE MEMORY vs DISK* Probably, someday.
MANAGEMENT aka part 3
1. adding servers 2. replication 3. failover
COORDINATOR
COORDINATOR combines servers into shards
COORDINATOR that’s where we need zookeeper
I KNOW let’s use DHT! like dynamo!
Rebalancing on capacity change
NO!
NO. THANK YOU!
LET’S MAKE IT SIMPLE
SHARDS (aka buckets) backpack #1 backpack #2 backpack #3 backpack
#4 backpack #5 backpack #6 shard #1 (50%) shard #2 (50%) 1:lol.jpg 2:wtf.jpg
ADDING SHARD backpack #1 backpack #3 backpack #3 backpack #4
backpack #5 backpack #6 1:lol.jpg 1:wtf.jpg shard #1 (50%) shard #2 (50%) backpack #7 backpack #8 backpack #9 50% chance shard #3 (0%)
COORDINATOR knows how to handle next file
NO REBALANCING SIMPLE
REPLICATOR
WHAT IF METEORITE WILL HIT YOUR NODE?
IT HAPPENS. YOU NEED TO ACCEPT THAT.
REPLICATOR to the rescue!
make multi-node SHARDS
DISTRIBUTE SHARDS ACROSS SERVERS
backpack #1 shard #1 lol.jpg backpack #1 lol.jpg backpack #1
lol.jpg server #1 server #1 server #1 coordinator replicator
REPLICATOR EVENTUALLY MAKES COPIES
THE WHOLE THING IS BULLET-PROOF IF YOU NEED IT
backpack #1 backpack #4 backpack #2 backpack #5 backpack #3
backpack #6 backpack #7 backpack #8 backpack #9 server #1 server #2 server #3 zookeeper #1 zookeeper #2 zookeeper #3 redis-queue #1 redis-queue #2 redis-queue #3 coordinator #1 coordinator #2 coordinator #3 replicator #1 replicator #2 replicator #3
GET THE CODE /Topface/backpack npm install backpack{,-coordinator,-replicator}
That’s it! bobrik ibobrik