System design 4:web service and traffic limits

Reading material:

Http-session:

Http://www.cnblogs.com/tankxiao/archive/2012/02/13/2342672.html

Http://www.cnblogs.com/xueyuwyz/p/3593739.html

Log:

Http://dataunion.org/12268.html

http://www.chinawebanalytics.cn/wa-server-logfile-basic-pros-and-cons/

Web services:

http://blog.csdn.net/tuantuanls/article/details/41288311

Http://job.xdnice.com/content/BiShiJingYan/2012-11/3992.htm

Dns:

Http://codefine.co/978.html

Https://www.slideshare.net/jonoxer/introduction-to-dns

http://linux.vbird.org/linux_server/0350dns.php

Browser Access process:

http://blog.csdn.net/bruce_6/article/details/39499439

Reverse proxy:

Http://www.admin10000.com/document/6186.html

https://www.zhihu.com/question/24723688

https://www.zhihu.com/question/19761434

Lazy Load:

https://www.zhihu.com/question/19703400

Https://en.wikipedia.org/wiki/Lazy_loading

Cache

http://community.brocade.com/t5/vADC-Docs/Cache-your-website-just-for-one-second/ta-p/73929

Cdn:

http://blog.csdn.net/wangqi0079/article/details/8582411

Rate Limiter:

Http://stackoverflow.com/questions/667508/whats-a-good-rate-limiting-algorithm

Https://github.com/jhurliman/node-rate-limiter

Token Bucket:

Https://en.wikipedia.org/wiki/Token_bucket

http://code.activestate.com/recipes/578659-python-3-token-bucket-rate-limit/

https://engineering.classdojo.com/blog/2015/02/06/rolling-rate-limiter/

Seconds to Kill:

Http://www.cnblogs.com/rollenholt/p/3393398.html

http://chuansong.me/n/1334017

Http://sobuhu.com/program/2013/04/07/how-to-design-seckill.html

http://jag522.iteye.com/blog/2113519

Http://mm.fancymore.com/reading/%E7%A7%92%E6%9D%80%E7%B3%BB%E7%BB%9F%E7%9A%84%E8%AE%BE%E8%AE%A1.html

Http://itindex.net/detail/53237-%E7%A7%92%E6%9D%80-%E7%B3%BB%E7%BB%9F-%E8%AE%BE%E8%AE%A1

12306:

Http://itindex.net/detail/39902-%E7%B3%BB%E7%BB%9F-%E8%AE%BE%E8%AE%A1

Http://coolshell.cn/articles/6470.html

1. What happens when you open a Google page

Page access Failure rate: Number of connection failures/total number of connections, number of users not seen on a webpage/number of users

http://blog.csdn.net/bruce_6/article/details/39499439

Impatient users

2, how to speed up a Web Access

• Reverse proxy + multi-server
• Compressed content (JS library), compressed pictures, lazy load
• Cache: Browser, ISP cache, reverse proxy, application Server cache

3, how to design a second kill system

• Qps:10 iphone,100w QPS (Bombardment Flow)
• Level Two queue
• Reduced flow
  • Reduce page size
  • Static page
  • Agent
  • Limit request Volume (Js,rate limit)
• Keep it simple
  • No database: Memory and logs
  • No lock
• Isolation
  • No other logic for the server that is blocking the impact
  • Asynchronous
• Attack
  • Ip
  • Verification Code
• Lottery

4, how to design a flow control system

• Request Interval
• Buckets (database, non-database)
• Queue
• Token Bucket

System design 4:web service and traffic limits