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
The things I've seen, living with MongoDB
Search
Bradley Whittington
October 03, 2013
Technology
0
120
The things I've seen, living with MongoDB
A short talk through some of the lessons learned about MongoDB at Motribe and Mxit
Bradley Whittington
October 03, 2013
Tweet
Share
More Decks by Bradley Whittington
See All by Bradley Whittington
Black Friday 2017 talk at Cape Town DevOps meetup
bradwhittington
0
32
Let's talk about Git
bradwhittington
0
70
Doing something new in an existing company culture
bradwhittington
0
130
Load Balancing 101
bradwhittington
1
480
Agile-ish is good enough
bradwhittington
1
520
PHP Addiction - or, teach someone about python
bradwhittington
2
630
Quick overview of MongoDB
bradwhittington
0
100
Other Decks in Technology
See All in Technology
自律的なスケーリング手法FASTにおけるVPoEとしてのアカウンタビリティ / dev-productivity-con-2025
yoshikiiida
1
16k
品質と速度の両立:生成AI時代の品質保証アプローチ
odasho
1
340
赤煉瓦倉庫勉強会「Databricksを選んだ理由と、絶賛真っ只中のデータ基盤移行体験記」
ivry_presentationmaterials
2
360
ビズリーチにおけるリアーキテクティング実践事例 / JJUG CCC 2025 Spring
visional_engineering_and_design
1
120
B2C&B2B&社内向けサービスを抱える開発組織におけるサービス価値を最大化するイニシアチブ管理
belongadmin
1
6.8k
What’s new in Android development tools
yanzm
0
300
KubeCon + CloudNativeCon Japan 2025 Recap
ren510dev
1
380
KiCadでPad on Viaの基板作ってみた
iotengineer22
0
300
Zephyr RTOSを使った開発コンペに参加した件
iotengineer22
1
220
開発生産性を組織全体の「生産性」へ! 部門間連携の壁を越える実践的ステップ
sudo5in5k
2
6.9k
生まれ変わった AWS Security Hub (Preview) を紹介 #reInforce_osaka / reInforce New Security Hub
masahirokawahara
0
470
ビズリーチが挑む メトリクスを活用した技術的負債の解消 / dev-productivity-con2025
visional_engineering_and_design
3
7.4k
Featured
See All Featured
Adopting Sorbet at Scale
ufuk
77
9.5k
Thoughts on Productivity
jonyablonski
69
4.7k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
281
13k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
820
How to Think Like a Performance Engineer
csswizardry
25
1.7k
Faster Mobile Websites
deanohume
307
31k
Typedesign – Prime Four
hannesfritz
42
2.7k
VelocityConf: Rendering Performance Case Studies
addyosmani
332
24k
Learning to Love Humans: Emotional Interface Design
aarron
273
40k
Visualization
eitanlees
146
16k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.9k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
233
17k
Transcript
The things I’ve seen, living with MongoDB Brad Whittington VP
web products - Mxit
What we use MongoDB for Primary data store for a
few consumer products. Motribe mobile social network - JudgeME & MxPix Mxit Launch
JudgeMe
None
Polytechnical university of hardknocks 1 week into my new job…
Zero MongoDB experience Massive crashes and timeouts on our cluster Hundreds of requests per minute
MongoDB docs == MongoDB + EC2 =
db.serverStatus() rs.add(...) MMS
MongoSQL? Mongo is *not* a relational database This is bad:
{ _id:... friend_id:... user_id:... }
The Data is Hot If you can’t fit all your
data in RAM, make sure you are kind to your (network connected) hard drives. Reads from (networked) disks are (incredibly) slow.
sort by rand() limit 1 MongoDB is all… One Solution!
(see the help pages for more) Add random geospatial positions Geospatial indexing Query for objects near [x,y] Disks are all like
I wish we had Capped Arrays*... Database with Capped Collections.Totally
okay. For the first n00 000 collections. Then it’s a bad idea. A very bad idea. * Available in MongoDB 2.4
A fresh start. Mxit Launch Platform for app creation Aim
for ±single document per request Cache cleverly, aggressively Database per app 300 authors 9M pageviews/month 2M unique users 4 m1.small 1 amazon core, 1.7GB ram
A fresh lesson Doing ensureIndex(..., {background:true}) inline in the request
is sub-optimal. 60 indexing processes 3M document collection (not fully in RAM) Not ideal.
db.currentOp() db.killOp() db.repair() db.currentOp().inprog.forEach( function(d){ if(d.waitingForLock && d.lockType != "read")
printjson(d) })
MongoDB Love • Mongo terminal is JS • Recovery is
quick, easy • Sharding is easy • Indexes are lovely • Be careful in your architecture / queries. Pure index queries are ++ • MongoDB is not a Relational DB
Read http://aphyr.com/tags/jepsen Aphyr / Jepsen / Call me maybe
@darb github.com/bradwhittington speakerdeck.com/u/bradwhittington/ Questions?