Advanced Concept of Caching - Mathilde Lemee - Codemotion Milan 2014

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We all know that caching is a solution for developers to increase the performance of an application. We will start by presenting the JSR-107 terminology and the most important cache patterns. Some use cases will also be discussed and you will see how you can scale your cache from a single node to a multi node cluster (JSR 347). If you are a beginners in caching or if the words Cache Aside, Write-Behind, Read/Write Through doesn’t means anything to you or if you are interesting about high availability and scalable architecture, that this is the place to be!

MILAN november 28th/29th 2014
Mathilde Lemee
Advanced Concept of Caching
@MathildeLemee - Aetys

Tom wants to
improve data
access
#codemotion @MathildeLemee

CACHE ASIDE
Application
Cache
PGuett BB PHUITT ! !
GGeett AB HMIITS S! !
DAO
Databas
e
Read B
#codemotion @MathildeLemee

Tom wants that the
cache always have
updated
datas.
#codemotion @MathildeLemee

System of
Record
#codemotion @MathildeLemee

Cache as a s-o-r : Read through
Application
Persistence
layer
Ehcache
Database
Get A
HIT !
#codemotion @MathildeLemee

Cache as a s-o-r : Read through
Application
Persistence
layer
Get A MISS!
Ehcache
Database
#codemotion @MathildeLemee

Cache as a s-o-r : Write through
Application
Persistence
layer
Ehcache
Database
PUT !
#codemotion @MathildeLemee

Tom works on a e-commerce
website and
want to have the faster
data access.
#codemotion @MathildeLemee

Cache as a s-o-r : Write Behind
Database
Application
Ehcache
Persistence
layer
A Write-behind
thread
A
Put B PUT !
B
C C
D D
Get A B C D
Write A B C D
#codemotion @MathildeLemee

Write Through Response times
#codemotion @MathildeLemee

Write Behind Response Times
#codemotion @MathildeLemee

Write Through – Database load
#codemotion @MathildeLemee

Write Behind – Database load
#codemotion @MathildeLemee

Tom doesn't
control the
datas
#codemotion @MathildeLemee

REFRESH
AHEAD
#codemotion @MathildeLemee

Paul work in a
bank where at a
fixed time datas
are updated
#codemotion @MathildeLemee

SCHEDULED
REFRESH
AHEAD
#codemotion @MathildeLemee

CACHE ASIDE
VS
READ/WRITE
THROUGH
#codemotion @MathildeLemee

Refresh
Ahead/Scheduled
Refresh
VS
The world #codemotion @MathildeLemee

Refresh Ahead
VS
Scheduled Refresh
Ahead
#codemotion @MathildeLemee

Write Behind
VS
Write Through
#codemotion @MathildeLemee

KNOW
YOUR
DATAS
#codemotion @MathildeLemee

La scalabilité est la
capacité qu’a
l’architecture Wikipedia
pour
évoluer en cas
#codemotion @MathildeLemee

La scalabilité
d’une
application est
égale à la
#codemotion @MathildeLemee

Consistence
• Julie / 32 ans / 2 enfants / Paris
• Paul / 27 ans / 4 enfants / Marseille
• Thomas / 40 ans / 1 enfant / Paris
– Déménagement de Thomas sur Marseille
Qui habite sur Paris ?
#codemotion @MathildeLemee

ONE
ANY
EACH QUORUM
THRE
E QUORUM
LOCAL
QUORUM
TWO
#codemotion @MathildeLemee

CAP
• Consistency :
• Availability :
• Partionning
#codemotion @MathildeLemee

• Consistency + Available = RDBMS
• Consistency + Partionning = BigTable / Hbase /
MongoDB / Redis
• Available + Partionning =
Riak/Cassandra/CouchDB
#codemotion @MathildeLemee

Mathilde Lemee - We all know that caching is a solution for developers to increase the performance of an application. We will start by presenting the JSR-107 terminology and the most important cache patterns. Some use cases will also be discussed and you will see how you can scale your cache from a single node to a multi node cluster (JSR 347). If you are a beginners in caching or if the words Cache Aside, Write-Behind, Read/Write Through doesn’t means anything to you or if you are interesting about high availabilty and scalable architecture, that this is the place to be!

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