anaconda continuum

publish Rails applications.3, BuildbotBuildbot is the most needed software for a system's automated compile/test cycle to validate code changes. By automatically rebuilding and testing what has changed every time, reduce unnecessary failures before building is quickly identified.4. FabricFabric8 is an open source Java Containers (JVMs) deep management integration platform. With Fabric8, you can easily automate, configure, and manage from a consistent central location, both UI and UX. FABRIC8 al

different servers. memcached server, the key will be scattered, even if a memcached server failure can not connect, nor affect the other cache, the system can continue to run. memcached Cache distribution policy:http://blog.csdn.net/bintime/article/details/6259133a brief description of consistent hashingconsistent hashing is as follows: first, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Continuum).

to save "Tokyo" and its values.Similarly, "Kanagawa" "Chiba" "Saitama" "Gunma" is the first to select the server and then save.Next, you get the saved data. The key "Tokyo" To get is also passed to the library. The function library selects the server according to the "key" by the same algorithm as when the data is saved. Using the same algorithm, you can select the same server as you saved, and then send a GET command. As long as the data is not deleted for some reason, the saved value can be o

, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Continuum). It then uses the same method to find the hash value of the key that stores the data and maps it to the circle. It then searches clockwise from where the data is mapped, saving the data to the first server found. If more than 232 still cannot find the server, it will be saved to the first memcached server.Figure 4 Consistent Hashing: Fundamenta

on many places have introduced, here only briefly explained. Mixi engineers ' Blog-スマートな dispersed で Quick キャッシュライフconsistenthashing-コンシステントハッシュ method Consistent hashing simple descriptionThe consistent hashing is as follows: first find the hash value of the memcached Server (node) and configure it to the 0~232 Circle (Continuum). The same method is then used to find the hash value of the key that stores the data and map it to the circle. Then start

many other places have been introduced, here simply to explain. Mixi Engineers ' Blog-スマートな disperse で Quick fit キャッシュライフ Consistenthashing-コンシステントハッシュ method A brief description of consistent hashingConsistent hashing is as follows: first, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Continuum). It then uses the same method to find the hash value of the key that stores the data and

the original server, and all others are moved to the other server. The hit rate was reduced to 23%. When using memcached in a Web application, the instant cache efficiency in adding memcached servers is significantly reduced, and the load is concentrated on the database server, and there is a risk that a normal service cannot be provided.This problem also applies to mixi Web applications, resulting in the inability to add memcached servers. But with the new distributed approach, it's now easy t

server. The hit rate was reduced to 23%. When using memcached in a Web application, the instant cache efficiency in adding memcached servers is significantly reduced, and the load is concentrated on the database server, and there is a risk that a normal service cannot be provided. This problem also applies to mixi Web applications, resulting in the inability to add memcached servers. But with the new distributed approach, it's now easy to add memcached servers. This distributed method is called

normal service cannot be provided.This problem also applies to mixi Web applications, resulting in the inability to add memcached servers. But with the new distributed approach, it's now easy to add memcached servers. This distributed method is called consistent Hashing.Consistent HashingAbout consistent hashing ideas, Mixi Co., Ltd. Development blog, and many other places have been introduced, here simply to explain. Mixi Engineers ' Blog-スマートな disperse で Quick fit キャッシュライフ Consis

~232 Circle (Continuum). It then uses the same method to find the hash value of the key that stores the data and maps it to the circle. It then searches clockwise from where the data is mapped, saving the data to the first server found.If more than 232 still cannot find the server, it will be saved to the first memcached server. Add a memcached server from the state.The remainder of the distributed algorithm affects the cache hit rate because the serv

failure can not connect, nor affect the other cache, the system can continue to run.Memcached Cache Distribution Policy:http://blog.csdn.net/bintime/article/details/6259133Remainder distributed algorithmis to "scatter according to the remainder of the number of servers." Evaluates the integer hash of the key, divided by the number of servers, and selects the server based on the remaining numberDisadvantages of the remainder algorithmThe remainder calculation method is simple, the dispersion of

memcached server failure can not connect, nor affect the other cache, the system can continue to run.A brief description of consistent hashingConsistent hashing is as follows: first, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Continuum). It then uses the same method to find the hash value of the key that stores the data and maps it to the circle. It then searches clockwise from where the data is ma

is easy to add memcached server.Consistent hashing is as follows: first, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Continuum). It then uses the same method to find the hash value of the key that stores the data and maps it to the circle. It then searches clockwise from where the data is mapped, saving the data to the first server found. If more than 232 still cannot find the server, it will be sav

been added can change dramatically. Only six of the 26 keys are accessing the original server, and all others are moved to the other server. The hit rate was reduced to 23%. When using memcached in a Web application, the instant cache efficiency in adding memcached servers is significantly reduced, and the load is concentrated on the database server, and there is a risk that a normal service cannot be provided.This problem also applies to mixi Web applications, resulting in the inability to add

servers. memcached server, the key will be scattered, even if a memcached server failure can not connect, nor affect the other cache, the system can continue to run.Memcached Cache distribution Policy: http://blog.csdn.net/bintime/article/details/6259133A brief description of consistent hashingConsistent hashing is as follows: first, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Continuum). It then us

different keys to different servers. memcached server, the key will be scattered, even if a memcached server failure can not connect, nor affect the other cache, the system can continue to run.Memcached Cache distribution Policy: http://blog.csdn.net/bintime/article/details/6259133a brief description of consistenthashingConsistent hashing is as follows: first, the hash value of the memcached Server (node) is calculated and configured on the 0~232 Circle (Co