109. Arquitecturas Escalables con GX

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This document discusses strategies for scaling a web application to handle increased load from many users. It focuses on caching, push notifications, load balancing, database replication, and using external storage providers. Caching is emphasized as a way to improve performance by reducing database and server usage. Amazon S3 is proposed for scalable, redundant storage of static assets. Push notifications can also help with scaling to large numbers of users.

#GX24
#GX24
And Performance
SCALABILITY
Gonzalo Gallotti
@gonzalogallotti

Oops
“Server busy”
“Timeout”
500 – Server ERROR
Lots of users!

SCALE OUT!
AVAILABILITY
FAULT TOLERANCE
PREDICTABILITY

#GX24
ARCHITECTURE
CACHING
PUSH NOTIFICATIONS
WEBSESSION STATE
STORAGE
LOAD BALANCING
DATABASE REPLICATION
NOT SO FAST!

CACHING
DATABASE REPLICATION
WEBSESSION STATE
STORAGE
LOAD BALANCING
PUSH NOTIFICATIONS
HOSTING

UNA
TRES
DOS
STORAGE
CACHE
PUSH NOTIFICATIONS

WEB SERVER
GET
DATABASE
SAVE
QUERY (FETCH BINARY)
HARDRIVE
RESPONSE
GET IMAGE

#GX24
ISSUES
Database size growth
WebServer serving
Dynamic content… ok!
Static content… WHY?
Bandwidth
Static content allocated in Web Server hard drive.. Bad for Scaling!

WEB SERVER
GET
DATABASE
QUERY (URL)
RESPONSE
STORAGE
PROVIDER
GET IMAGE

#GX24
AMAZON S3
High availability
Redundancy
Caching
Performance
Scalability
Easy setup
Unlimited storage!

#GX24
CHEAP!
50GB
1.000.000 GET Request
50 GB Transfer OUT
USD 6 / month

#GX24
TIGHT INTEGRATION
BLOB
AND MORE!
XML READER & WRITER
IMAGE
FILE DATA TYPE
AUDIO, VIDEO
LIKE IT!

#GX24
Security
Security Access
Public
Private
Automatic signed urls with expiration time!
Ex: http://futboluy.s3.amazonaws.com/penarol/badge.png?AWSAccessKeyId=AKIAI..& Signature=Npg..& Expires=11751

“Web apps typically have a read/write ratio of somewhere between 80/20 and 90/10”
Cal Henderson (Flickr)

#GX24
WHY
Lower CPU usage
Lower Database usage
Better response times
Faster, more scalable apps
Lower costs

2000
DB CACHING ON
4x
500
DB CACHING OFF
THROUGHPUT
(FUY .NET GX APP)
REQ/S

SERVICE LEVEL CACHE
SMART DEVICES CACHE
DATABASE CACHE

EXTERNAL WEBSERVER
MY WEBSERVER
<< WS SOAP >>
1 – 2 seconds
COMPARE TEAMS (PROCEDURE)
GET FROM CACHE

#GX24
SERVICE LEVEL CACHE HTTP ACCELERATION
SMART DEVICES CACHE
DATABASE CACHE

WEB SERVER
•
nginx
•
SQUID
•
VARNISH
•
(CDN) AWS CloudFront
HTTP ACCELERATOR

Client A
HTTP Request
WEB SERVER
HTTP Request
Japan
HTTP Response
Response
SAVE IN CACHE
CDN (Japan)

Client B
CDN (Japan)
HTTP Request
HTTP Response
GET FROM CACHE
WEB SERVER

#GX24
WHERE CACHE DATA IS STORED?
DATABASE CACHE
SMART DEVICES CACHE
SERVICE LEVEL CACHE

2.000.000 push notifications 150.000 push per Month 50.000 per second FREE!

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快速迭代，敏捷开发已经成为如今web产品的主旋律，如何提升开发效率，减少联调成本，保证代码质量，缩短发布时间是我们一直在思考和解决的问题。在不断的探索和尝试后，目前我们使用cortex，yeoman作为项目的脚手架，前后端分离的开发模式，基于CommonJS，React的组件化开发，CI的持续集成构建及自动化测试，一键发布回滚等方案使开发者能更多的focus在需求本身的逻辑上。分享者：何骏，美团点评平台前端工程师，去年10月加入点评，目前负责帐号和M站的相关业务以及服务端框架的开发。在移动端性能优化及前端工程化方面有一定的经验。

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feature[23]

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