The document presents a tutorial on caching and tuning for improving scalability in web applications, highlighting techniques for optimizing performance. It covers various caching methods, including the use of memcached, and discusses the significance of caching strategies and frontend optimization. Additionally, it emphasizes the importance of monitoring and preparing for high traffic scenarios to enhance reliability.

1. Caching and tuning fun
for high scalability
Wim Godden
Cu.be Solutions

2. Who am I ?
Wim Godden (@wimgtr)
Owner of Cu.be Solutions (http://cu.be)
Open Source developer since 1997
Developer of OpenX
Zend Certified Engineer
Zend Framework Certified Engineer
MySQL Certified Developer

3. Who are you ?
Developers ?
System/network engineers ?
Managers ?
Caching experience ?

4. Caching and tuning fun
for high scalability
Wim Godden
Cu.be Solutions

5. Goals of this tutorial
Everything about caching and tuning
A few techniques
How-to
How-NOT-to
→ Increase reliability, performance and scalability
5 visitors/day → 5 million visitors/day
(Don't expect miracle cure !)

6. LAMP

7. Architecture

8. Our base benchmark
Apachebench = useful enough
Result ?
Single webserver Proxy
Static PHP Static PHP
Apache + PHP 3900 17.5 6700 17.5
Limit : Limit :
CPU, network database
or disk

9. Caching

10. What is caching ?
CACHE

11. What is caching ?
x = 5, y = 2
Same result
n = 50
CACHE
select
*
from
article
join user Doesn't change
on article.user_id = user.id all the time
order by
created desc
limit
10

12. Theory of caching
DB
le
t ab
fro
m ul t
res
ata ned
e ct d retur
sel ta =
$da
if ($data == false)
Page
GET /page set(
'key
', $
$da fals data)
ta = e
get(
'key
')
Cache

13. Theory of caching
DB
HIT
Cache

14. Caching techniques
#1 : Store entire pages
#2 : Store part of a page (block)
#3 : Store data retrieval (SQL ?)
#4 : Store complex processing result
#? : Your call !
When you have data, think :
Creating time ?
Modification frequency ?
Retrieval frequency ?

15. How to find cacheable data
New projects : start from 'cache everything'
Existing projects :
Look at MySQL slow query log
Make a complete query log (don't forget to turn it off !)
Check page loading times

16. Caching storage - Disk
Data with few updates : good
Caching SQL queries : preferably not
DON'T use NFS or other network file systems
especially for sessions
locking issues !
high latency

17. Caching storage - Disk / ramdisk
Local
5 Webservers → 5 local caches
How will you keep them synchronized ?
→ Don't say NFS or rsync !

18. Caching storage - Memcache(d)
Facebook, Twitter, YouTube, … → need we say more ?
Distributed memory caching system
Multiple machines ↔ 1 big memory-based hash-table
Key-value storage system
Keys - max. 250bytes
Values - max. 1Mbyte

19. Caching storage - Memcache(d)
Facebook, Twitter, YouTube, … → need we say more ?
Distributed memory caching system
Multiple machines ↔ 1 big memory-based hash-table
Key-value storage system
Keys - max. 250bytes
Values - max. 1Mbyte
Extremely fast... non-blocking, UDP (!)

20. Memcache - where to install

21. Memcache - where to install

22. Memcache - installation & running it
Installation
Distribution package
PECL
Windows : binaries
Running
No config-files
memcached -d -m <mem> -l <ip> -p <port>
ex. : memcached -d -m 2048 -l 172.16.1.91 -p 11211

23. Caching storage - Memcache - some notes
Not fault-tolerant
It's a cache !
Lose session data
Lose shopping cart data
...

24. Caching storage - Memcache - some notes
Not fault-tolerant
It's a cache !
Lose session data
Lose shopping cart data
…
Firewall your Memcache port !

25. Memcache in code
<?php
$memcache = new Memcache();
$memcache->addServer('172.16.0.1', 11211);
$memcache->addServer('172.16.0.2', 11211);
$myData = $memcache->get('myKey');
if ($myData === false) {
$myData = GetMyDataFromDB();
// Put it in Memcache as 'myKey', without compression, with no expiration
$memcache->set('myKey', $myData, false, 0);
}
echo $myData;

26. Where's the data ?
Memcache client decides (!)
2 hashing algorithms :
Traditional
Server failure → all data must be rehashed
Consistent
Server failure → 1/x of data must be rehashed (x = # of servers)

27. Benchmark with Memcache
Single webserver Proxy
Static PHP Static PHP
Apache + PHP 3900 17.5 6700 17.5
Apache + PHP + MC 3900 55 6700 108

28. Memcache slabs
(or why Memcache says it's full when it's not)
Multiple slabs of different sizes :
Slab 1 : 400 bytes
Slab 2 : 480 bytes (400 * 1.2)
Slab 3 : 576 bytes (480 * 1.2) (and so on...)
Multiplier (1.2 here) can be configured
Store a lot of very large objects
→ Large slabs : full
→ Rest : free
→ Eviction of data !

29. Memcache - Is it working ?
Connect to it using telnet STAT pid 2941
STAT uptime 10878
STAT time 1296074240
"stats" command → STAT version 1.4.5
STAT pointer_size 64
STAT rusage_user 20.089945
Use Cacti or other monitoring tools STAT rusage_system 58.499106
STAT curr_connections 16
STAT total_connections 276950
STAT connection_structures 96
STAT cmd_get 276931
STAT cmd_set 584148
STAT cmd_flush 0
STAT get_hits 211106
STAT get_misses 65825
STAT delete_misses 101
STAT delete_hits 276829
STAT incr_misses 0
STAT incr_hits 0
STAT decr_misses 0
STAT decr_hits 0
STAT cas_misses 0
STAT cas_hits 0
STAT cas_badval 0
STAT auth_cmds 0
STAT auth_errors 0
STAT bytes_read 613193860
STAT bytes_written 553991373
STAT limit_maxbytes 268435456
STAT accepting_conns 1
STAT listen_disabled_num 0
STAT threads 4
STAT conn_yields 0
STAT bytes 20418140
STAT curr_items 65826
STAT total_items 553856
STAT evictions 0
STAT reclaimed 0

30. Memcache - backing up

31. Memcache - tip
Page with multiple blocks ?
→ use Memcached::getMulti()
Hashing
getMulti($array)
algorithm
But : what if you get some hits and some misses ?

32. Updating data

33. Updating data
LCD_Popular_Product_List

34. Adding/updating data
$memcache->delete('LCD_Popular_Product_List');

35. Adding/updating data

36. Adding/updating data - Why it crashed

37. Adding/updating data - Why it crashed

38. Adding/updating data - Why it crashed

39. Cache stampeding

40. Cache stampeding

41. Memcache code ?
Memcache code
Visitor interface Admin interface
DB

42. Cache warmup scripts
Used to fill your cache when it's empty
Run it before starting Webserver !
2 ways :
Visit all URLs
Error-prone
Hard to maintain
Call all cache-updating methods
Make sure you have a warmup script !

43. Cache stampeding - what about locking ?
Seems like a nice idea, but...
While lock in place
What if the process that created the lock fails ?

44. LAMP...
→ LAMMP
→ LNMMP

45. Nginx
Web server
Reverse proxy
Lightweight, fast
10.2% of all Websites

46. Nginx
No threads, event-driven
Uses epoll / kqueue
Low memory footprint
10000 active connections = normal

47. Nginx - a true alternative to Apache ?
Not all Apache modules
mod_auth_*
mod_dav*
…
Basic modules are available
Some 3rd party modules (needs recompilation !)

48. Nginx - Configuration
server {
listen 80;
server_name www.domain.ext *.domain.ext;
index index.html;
root /home/domain.ext/www;
}
server {
listen 80;
server_name photo.domain.ext;
index index.html;
root /home/domain.ext/photo;
}

49. Nginx + PHP-FPM - performance ?
Single webserver Proxy
Static PHP Static PHP
Apache + PHP 3900 17.5 6700 17.5
Apache + PHP + MC 3900 55 6700 108
Nginx + PHP-FPM + MC 11700 57 11200 112
Limit :
single-threaded
Apachebench

50. Reverse proxy time...

51. Varnish
Not just a load balancer
Reverse proxy cache / http accelerator / …
Caches (parts of) pages in memory
Careful :
uses threads (like Apache)
Nginx usually scales better (but doesn't have VCL)

52. Varnish - backends + load balancing
backend server1 {
.host = "192.168.0.10";
}
backend server2{
.host = "192.168.0.11";
}
director example_director round-robin {
{
.backend = server1;
}
{
.backend = server2;
}
}

53. Varnish - VCL
Varnish Configuration Language
DSL (Domain Specific Language)
→ compiled to C
Hooks into each request
Defines :
Backends (web servers)
ACLs
Load balancing strategy
Can be reloaded while running

54. Varnish - whatever you want
Real-time statistics (varnishtop, varnishhist, ...)
ESI

55. Varnish - ESI
Perfect for caching pages
Header (TTL : 60 min) In your article page output :
/top <esi:include src="/news"/>
Latest news (TTL : 2 min) /news
In your Varnish config :
sub vcl_fetch {
if (req.url == "/news") {
Navigation Article content page esi; /* Do ESI processing */
(TTL : set obj.ttl = 2m;
60 min) Article content (TTL : 15 min) } elseif (req.url == "/nav") {
/nav /article/732 esi;
set obj.ttl = 1m;
} elseif ….
….
}

56. Varnish with ESI - hold on tight !
Single webserver Proxy
Static PHP Static PHP
Apache + PHP 3900 17.5 6700 17.5
Apache + PHP + MC 3900 55 6700 108
Nginx + PHP-FPM + MC 11700 57 11200 112
Varnish - - 11200 4200

57. Varnish - what can/can't be cached ?
Can :
Static pages
Images, js, css
Pages or parts of pages that don't change often (ESI)
Can't :
POST requests
Very large files (it's not a file server !)
Requests with Set-Cookie
User-specific content

58. ESI → no caching on user-specific content ?
Logged in as : Wim Godden
TTL = 0s ?
5 messages
TTL=1h TTL = 5min

59. Coming soon...
Based on Nginx
Reduces load by 50 – 95%
Requires code changes !
Well-built project → few changes
Effect on webservers and database servers

60. What's the result ?

61. What's the result ?

62. Figures
First customer :
No. of web servers : 18 → 4
No. of db servers : 6 → 2
Total : 24 → 6 (75% reduction !)
Second customer (already using Nginx + Memcache) :
No. of web servers : 72 → 8
No. of db servers : 15 → 4
Total : 87 → 12 (86% reduction !)

63. Availability
Stable at 2 customers
Still under heavy development
Beta : Jul 2012
Final : Sep 2012

64. Tuning

65. PHP speed - some tips
Upgrade PHP - every minor release has 5-15% speed gain !
Use an opcode cache

66. Caching storage - Opcode caching

67. DB speed - some tips
Use same types for joins
i.e. don't join decimal with int
RAND() is evil !
count(*) is evil in InnoDB without a where clause !
Persistent connect is sort-of evil

68. Caching & Tuning @ frontend
http://www.websiteoptimization.com/speed/tweak/average-web-page/

69. Frontend tuning
1. You optimize backend
2. Frontend engineers messes up → havoc on backend
3. Don't forget : frontend sends requests to backend !
SO...
Care about frontend
Test frontend
Check what requests frontend sends to backend

70. Tuning frontend
Minimize requests
Combine CSS/JavaScript files

71. Tuning frontend
Minimize requests
Combine CSS/JavaScript files
Use CSS Sprites

72. CSS Sprites

73. Tuning content - CSS sprites

74. Tuning content - CSS sprites
11 images 1 image
11 HTTP requests 1 HTTP requests
24KByte 14KByte

75. Tuning frontend
Minimize requests
Combine CSS/JavaScript files
Use CSS Sprites (horizontally if possible)
Put CSS at top
Put JavaScript at bottom
Max. no connections
Especially if JavaScript does Ajax (advertising-scripts, …) !
Avoid iFrames
Again : max no. of connections
Don't scale images in HTML
Have a favicon.ico (don't 404 it !)
→ see my blog

76. What else can kill your site ?
Redirect loops
Multiple requests
More load on Webserver
More PHP to process
Additional latency for visitor
Try to avoid redirects anyway
→ In ZF : use $this->_forward instead of $this->_redirect
Watch your logs, but equally important...
Watch the logging process →
Logging = disk I/O → can kill your server !
Slashdot effect

77. Above all else... be prepared !
Have a monitoring system
Use a cache abstraction layer (disk → Memcache)
Don't install for the worst → prepare for the worst
Have a test-setup
Have fallbacks
→ Turn off non-critical functionality

78. So...
Cache
But : never delete, always push !
Have a warmup script
Monitor your cache
Have an abstraction layer
Apache = fine, Nginx = better
Static pages ? Use Varnish
Tune your frontend → impact on backend !
Prepare for the worst

79. Questions ?

80. Questions ?

81. We're hiring !
Lots of challenges
Work with cutting-edge technology
Varied :
PHP development
System / network architecture
Scalability services
Build our own services
Work on Open Source
→ mail us : info@cu.be

82. Contact
Twitter @wimgtr
Web http://techblog.wimgodden.be
Slides http://www.slideshare.net/wimg
E-mail wim.godden@cu.be
Please...
Rate my talk : http://speakerrate.com/talks/9501

83. Thanks !
Please...
Rate my talk : http://speakerrate.com/talks/9501