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
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Bradley Whittington
October 03, 2013
Technology
150
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by Bradley Whittington
See All by Bradley Whittington
Black Friday 2017 talk at Cape Town DevOps meetup
bradwhittington
0
47
Let's talk about Git
bradwhittington
0
95
Doing something new in an existing company culture
bradwhittington
0
140
Load Balancing 101
bradwhittington
1
500
Agile-ish is good enough
bradwhittington
1
580
PHP Addiction - or, teach someone about python
bradwhittington
2
660
Quick overview of MongoDB
bradwhittington
0
120
Other Decks in Technology
See All in Technology
AIが自律的に回る開発ループを設計してチーム開発に組み込む
nekorush14
0
130
MySQL & MySQL HeatWave Report - June 2026
freshdaz
0
140
Oracle Cloud Infrastructure:2026年6月度サービス・アップデート
oracle4engineer
PRO
0
330
2026-06-24_人とAIの責務分離に基づく開発プロセスの提案.pdf
takahiromatsui
0
170
iOS アプリの「これって不具合ですか?」を AI に調べてもらう
miichan
0
140
時期が悪い!それでもRaspberry Piを買って遊んで活用するには / 20260627-osc26do-rpi-jikigawarui
akkiesoft
0
830
起点・思考・出力で分解する 〜PM業務の自動化設計〜
kazu_kichi_67
1
1.1k
AIペネトレーションテスト・ セキュリティ検証「AgenticSec」紹介資料
laysakura
2
7.6k
AI Agentをシステムに組み込む前にゆるく向き合ってみる
hayama17
0
150
40代で“やっとエンジニアになれた”――閉じた学びを開き、空の青さを知る / 20260628 Naoki Takahashi
shift_evolve
PRO
4
890
BPaaSで進むAIオペレーションの現在地 AI実装が効く領域とスケーラビリティの選定と実装
kentarofujii
0
200
事業会社における 機械学習・推薦システム技術の活用事例と必要な能力 / ml-recsys-in-layerx-wantedly-2026
yuya4
0
160
Featured
See All Featured
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
210
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
950
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.8k
Music & Morning Musume
bryan
47
7.2k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
3.5k
My Coaching Mixtape
mlcsv
0
150
Into the Great Unknown - MozCon
thekraken
41
2.6k
sira's awesome portfolio website redesign presentation
elsirapls
0
280
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.8k
More Than Pixels: Becoming A User Experience Designer
marktimemedia
3
450
How to Ace a Technical Interview
jacobian
281
24k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
240
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?