原文地址:http://highscalability.com/7-stages-scaling-web-apps
标题:The 7 Stages of Scaling Web Apps
翻译:大型web程序架构阶段
*
Stage 1 - The Beginning: Simple architecture, low complexity. no
redundancy. Firewall, load balancer, a pair of web servers, database
server, and internal storage.
第一个阶段:开始,架构简单,低复杂度,防火墙,负载均衡,一些web服务器,数据
库服务器,内部存储服务器。
* Stage 2 - More of the same, just bigger.
第二个阶段:更多的上面的系统设置。
* Stage 3 - The Pain Begins: publicity hits. Use reverse proxy, cache static content, load balancers, more databases, re-coding.
第三个阶段:痛苦开始,使用反向代理,缓存
静态内容,负载均衡,更多数据
库,代码重构。
* Stage 4 - The Pain Intensifies: caching with memcached
,
writes overload and replication takes too long, start database
partitioning, shared storage makes sense for content, significant
re-architecting for DB.
第四个阶段:痛苦继续,使用memcached
缓存
数据
库,数据
写以及发布占用时间长,开始数据
库分区,重新架构数据
库。
*
Stage 5 - This Really Hurts!: rethink entire application, partition on
geography user ID, etc, create user clusters, using hashing scheme for
locating which user belongs to which cluster.
第五个阶段:要害处。重新思考整个项目,按照全局用户ID分区,创建用户集群,使用Hash确定用户属于哪个Cluster.
*
Stage 6 - Getting a little less painful: scalable application and
database architecture, acceptable performance, starting to add ne
features again, optimizing some code, still growing but manageable.
第六个阶段:痛苦略微。大型应用程序以及数据
库架构,可接受的性能,开始添加新的特性,优化代码。
*
Stage 7 - Entering the unknown: where are the remaining bottlenecks
(power, space, bandwidth, CDN, firewall, load balancer, storage,
people, process, database), all eggs in one basked (single datacenter,
single instance of data).
第七个阶段:进入未知状态。哪里是瓶颈?(电力,空间,带宽,CDN,防火墙,负载均衡,存储,员工,处理,数据
库)。(简单数据
中心)。
===============================================================
===============================================================
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By John Engales CTO, Rackspace. Good presentation of the stages a typical successful website goes through:
* Stage 1 - The Beginning: Simple architecture, low complexity. no
redundancy. Firewall, load balancer, a pair of web servers, database
server, and internal storage.
* Stage 2 - More of the same, just bigger.
* Stage 3 - The Pain Begins: publicity hits. Use reverse proxy, cache static content, load balancers, more databases, re-coding.
* Stage 4 - The Pain Intensifies: caching with memcached, writes
overload and replication takes too long, start database partitioning,
shared storage makes sense for content, significant re-architecting for
DB.
* Stage 5 - This Really Hurts!: rethink entire application, partition
on geography user ID, etc, create user clusters, using hashing scheme
for locating which user belongs to which cluster.
* Stage 6 - Getting a little less painful: scalable application and
database architecture, acceptable performance, starting to add ne
features again, optimizing some code, still growing but manageable.
* Stage 7 - Entering the unknown: where are the remaining bottlenecks (power, space, bandwidth, CDN
,
firewall, load balancer, storage, people, process, database), all eggs
in one basked (single datacenter, single instance of data).
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