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
Cheating Your Way to Webscale
Search
Matt Robenolt
May 02, 2014
Programming
1.4k
13
Share
Cheating Your Way to Webscale
Python Nordeste, May 2nd 2014
Matt Robenolt
May 02, 2014
More Decks by Matt Robenolt
See All by Matt Robenolt
Everything is broken and I don't know why.
mattrobenolt
0
44
I am bad at my job.
mattrobenolt
0
240
Everything is broken, and I don't know why. Python edition.
mattrobenolt
1
230
Everything is broken, and I don't know why. Python edition.
mattrobenolt
2
630
Varnish: How We Do It
mattrobenolt
1
240
Everything is broken, and I don't know why.
mattrobenolt
7
1.6k
HTTP for Great Good
mattrobenolt
85
200k
Caching is Hard: Varnish @ Disqus
mattrobenolt
52
2.1M
Developing & Deploying "Large" Scale Web Applications
mattrobenolt
25
1.3k
Other Decks in Programming
See All in Programming
Migrations : C'est une question d'hygiène !
vinceamstoutz
0
2.8k
inferと仲良くなる10分間
ryokatsuse
1
330
LLM本来の能力を解き放つサンドボックス技術とAI民主化への適用
yukukotani
2
1.2k
Copilot CLI の継戦能力を高める コンテキスト管理
nozomutu
1
1.2k
tsserverとは何だったのか、これからどうなるのか
nowaki28
1
430
dRuby over BLE
makicamel
1
270
DynamoDBには集計系のクエリがないけどなんとかしたい
musan
1
120
Transactional Change Stream Processing With Debezium and Apache Flink
gunnarmorling
1
150
運用エージェントは "作る" から "育てる" へ - 記憶と自己進化の3層設計パターン / self-evolving-agents-three-layer-agent-design
gawa
12
3.4k
プラグインで拡張される Context をtype-safe にする難しさと設計判断
kazupon
2
540
The Arts and Crafts of Work in the AI Era — Toward Mastery in Software Development
kuranuki
1
700
新規プロダクトを高速で生み出すハーネスエンジニアリング
seanchas116
19
7.9k
Featured
See All Featured
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.6k
How STYLIGHT went responsive
nonsquared
100
6.2k
Docker and Python
trallard
47
3.9k
ラッコキーワード サービス紹介資料
rakko
1
3.5M
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.5k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
380
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2k
Building AI with AI
inesmontani
PRO
1
1k
The Curious Case for Waylosing
cassininazir
1
370
Abbi's Birthday
coloredviolet
2
7.8k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.3k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
420
Transcript
Python Nordeste May 2nd 2014 Matt Robenolt Cheating Your Way
to #webscale
Hello < me irl
Lead Operations Engineer
Core Contributor
So what is #webscale?
10 million requests per second 4ms mean response time asynchronous
io mongodb
10 million requests per second 4ms mean response time asynchronous
io mongodb NOPE
Disqus only does 150 req/s per web server. * we
also write some bad code
150 12,960,000 388,800,000 per second per day per month real
world #webscale
Scale is about hiding the fact that your application is
actually really slow.
If your application feels fast, then it’s probably good enough.
Users hate waiting for shit.
So how do we do it?
Cheating 101
When a user asks for new data, let’s give them
old data instead.
When a user asks for new data, let’s give them
old data instead. Caching
When telling us to do something, let’s say we did
and maybe do it later.
When telling us to do something, let’s say we did
and maybe do it later. Queueing
Rule #1 Don’t get caught.
Rule #2 Don’t get caught.
Rule #3 Don’t get caught.
HTTP Caching
Introducing
tl;dr Varnish sits between your application and your users Internet
Let’s talk about HTTP. Hypertext Transport Protocol
$ curl -v disqus.com
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Request
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Method
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Path
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Version
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Headers
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Response
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Status
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 Headers
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 For 300 seconds, all users will get the same response without talking to our application.
> GET / HTTP/1.1 > User-Agent: curl/7.24.0 > Host: disqus.com
> Accept: */* > < HTTP/1.1 200 OK < Server: nginx < Date: Fri, 02 May 2014 06:38:37 GMT < Content-Type: text/html; charset=utf-8 < Content-Length: 10453 < Last-Modified: Fri, 30 Aug 2013 00:32:14 GMT < Vary: Accept-Encoding < Expires: Fri, 02 May 2014 06:43:36 GMT < Cache-Control: public, max-age=300 With power comes great responsibility.
GET / INTERNET Varnish Web servers
GET / INTERNET Varnish Web servers CACHED! “Cache-Control: max-age=300”
GET / INTERNET Varnish Web servers
GET / INTERNET Varnish Web servers CACHED!
BUT WAIT… THERE’S MORE
COLLAPSING REQUEST
GET / INTERNET Varnish Web servers
INTERNET Varnish Web servers GET /
INTERNET Varnish Web servers GET / If multiple users request
the same object, Varnish makes one fetch and returns to all users.
Queueing
Do as little work as possible, and return a promise
that this work will be done.
INTERNET Web servers Task workers Slow/Fast Data store Queue POST
/foo
INTERNET Web servers Task workers Slow/Fast Data store Queue POST
/foo
INTERNET Web servers Task workers Slow/Fast Data store Queue POST
/foo Workers can rate limit, debounce, increment counters, generate a fast materialized view, etc.
INTERNET Web servers Task workers Slow/Fast Data store Queue POST
/foo Make sure your tasks finish before a user tries to read the data back.
Final Thoughts
Understand your application. Where can you cheat without disrupting user
experience? Is seeing a few seconds old data going to damage a product?
Cheating should only enhance user experience.
Cheat any way you can, just don’t get caught.
Django & Varnish & RabbitMQ & Celery & PostgreSQL &
Redis & Cassandra & Riak Thanks
Questions? I have answers. ^ github.com/mattrobenolt @mattrobenolt some