xxlweb

XXL WEB

Seda Yalçın, Ömer Taşkın

ABOUT US, ABOUT YOU?

Software Engineer@GG

Seda Yalçın

Software Engineer@GG

Ömer Taşkın

OUTLINE

•   WHY XXL WEB?

•   What is Scalability in Theory? •   Scalability & Performance Issue •   How to scale?

•   What is Scalability in Practice? •   Horizontal (Scale Out) •   Vertical (Scale Up)

WHY XXL WEB?

Scalability in WEB domain

XXL web

What is scalability? •   What is scalability? •   What is not scalability? •   Scalability != performance, but..

XXL web

Scalability & Performance Only scalability does not increase the performance, but increasing performance make scaling easier.

XXL web

Scalability & Performance Question: 100 room, 100 person

1- 1 P per room

2- 100 P in one room What’s your choice?

XXL web

Scalability & Performance

XXL web

Language-oriented?

After 3 days + 10 min.. JJ Then, click ‘make it scalable’.

XXL web

What can I do sometimes? •   Optimize your code,

•   Design for scaling! “It won’t scale, if it’s not to scale”. •   A couple of language oriented examples. •   Performance is must for Scaling!

•   Use caching Mechanisms •   And surely.. Scale your DB!

Caching Techniques

•   Store entire page

•   Store parts of a page

•   Store SQL queries

•   Store Complex Results

•   And Yours

Why Cache?

•   Kind a short-cut

•   Reducing number of requests

•   In fact, it’s for not scaling in DB layer

•   Ok, what if cache is burn out?

•   Then scale it!

That is not all..

With a basic example that shows DB things for scaling

Scalability @ DB Layer

A scaling scenario

•   •  

User actions should be logged. Probably records will be bigger than we guess.

•   Scalability Types

•   Horizontal (Scale Out)

•   Vertical (Scale Up)

A scaling scenario

VERTICAL SCALABILITY (SCALE UP) •   Adding resources to single node in a system

•   •   •   •  

Bandwidth Disc √ CPU Memory

•   It’s not enough, isn’t it?

VERTICAL SCALABILITY (SCALE UP)

HORIZONTAL SCALABILITY (SCALE out)

•   Adding new node to system


•   Need a sharding mechanism!


•   First attempt:

Write your own sharding KK


Disadvantages of MySQL Cluster •   Does not supports add / remove node while cluster is up. •   Alter queries does not run on every node. Alter queries have to

run for every node.


•   What we need?

•   •  

Have to be transactional? Must data be warranty?


•   Second attempt

•   MongoDB!


•   Disadvantages of mongodb

•   •  

Does not supports transaction Does not supports data guarantee ( >= Mongo 1.8)

Wake Up!

Here we are!

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REFERANCES

http://www.oracle.com/technetwork/articles/dsl/white-php-part1-355135.html

http://docs.mongodb.org/manual/sharding/

http://dev.mysql.com/doc/refman/5.0/en/mysql-cluster.html

http://dev.mysql.com/doc/refman/5.0/en/mysql-cluster-limitations.html

http://bobiler.org

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