Cluster Memcached

Last article we said memcached to achieve high availability and prevent a single point of failure can be implemented through magent, next we configure a highly available cluster magent proxy server: 192.168.200.101 memcached node: ( Can be on the same server to open three memcached node to see the previous introduction, can also be one server one memcached:192.168.200.100 11000 port memcached:192.168.2 ...

memcached high availability cluster theory and introduction. memcached In the realization of distributed cluster deployment, the memcached service is not between the communication, the distributed algorithm is through the client bar Data stored in different memcached, so when we finish the cluster client to write data inside, Will appear the following situation. After the client writes data to a memcached node, the other two nodes can not be queried. So how the outcome of this issue, is the next to be done. memcached ...

memcached installation and cluster deployment source pack: libevent-1.4.14b-stable.tar.gz memcached-1.4.29.tar.gz libevent Installation Memcached is dependent on the asynchronous time-time notification library so it is necessary to install libevent [root@bogon ~]# tar-xf/src/libevent-1.4.14b-stable.tar.gz-c/usr/src ...

Memcached+magent+keepalived high Availability cluster two. We have already configured the memcached+magent below if the magent is down, it is not possible to continue to provide services, so we used keepalived to add a standby magent proxy server. When a magent is down, it is replaced by another. Configuration steps: Two magent proxy Server, a set of one to do from, when the main downtime from the successor to continue to work. Two Magen ...

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

The Facebook company unveiled the memcached performance test file in a recent International Green Computing Conference in Orlando, Florida, where TILEPRO64 processors, Intel Xeon processors and AMD The Opteron processor's standard server performs performance testing. Tilera, Seamicro and Calxeda have been selling Hadoop's massive data and memcached Web caching as a marketing point to promote their own micro-server products, but when it comes to distributed ...

In recent years, with the continuous innovation and development of the Internet industry, batch after group of websites or be eliminated or stand out, for those successful websites, most of them already exist nearly 10 or more than 10 years, in such a long period of development, in addition to the business facing the challenges, Technically, it's also a lot of challenges. The following selected Alexa rankings of the previous site (ranking up to April 21, 2012, by analyzing how they are technically coping with the challenges of business development process, to a deeper understanding of the development of the Internet industry in recent years. ...

The core concept of sub-library table is based on MySQL storage. Solving the problem of data storage and access capacity, the product supports the database traffic of previous Tmall double eleven singles day core transaction links, and gradually grew into the standard of Alibaba Group access relational database.

"5" Data flow and control flow in the previous article, Twitter has two main points to watch, caching and Message Queuing. The role of Message Queuing is to "isolate user requests and related operations in order to flatten traffic peaks (move operations out of the synchronous request cycle, amortize load over time)". By letting the Apache process empty loop, quickly accept ...

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...