软件设计 中 SOLID原则,让大家记忆一下 这个条件

     近期有人问我
系统规划的基准,事实上无论前日逐条技术栈怎么演变,那多少个本质的规则与模式不会变,
让大家回顾一下 这么些标准:

     如今有人问我
系统规划的标准化,事实上无论后天各样技术栈怎么衍生和变化,那么些本质的规格与办法不会变,
让大家回想一下 这么些条件:

•分散关注 Separation of concerns. Divide your application into
distinct features with as little overlap in functionality as possible.
The important factor is minimization of interaction points to achieve
high cohesion and low coupling. However, separating functionality at
the wrong boundaries can result in high coupling and complexity
between features even though the contained functionality within a
feature does not significantly overlap.
不同世界的功用,应该由不同的代码和纤维重迭的模块组成。

•单一任务,效用高内聚 Single Responsibility principle. Each
component or module should be responsible for only a specific feature
or functionality, or aggregation of cohesive functionality.

•一个模块不需要了然另一个模块的中间细节 Principle of Least Knowledge
(also known as the Law of Demeter or LoD).
A component or object
should not know about internal details of other components or
objects.

•Don’t repeat yourself (DRY). You should only need to specify
intent in one place. For example, in terms of application design,
specific functionality should be implemented in only one component;
the functionality should not be duplicated in any other component.

•不要过分设计过多模块 Minimize upfront design. Only design what is
necessary. In some cases, you may require upfront comprehensive design
and testing if the cost of development or a failure in the design is
very high. In other cases, especially for agile development, you can
avoid big design upfront (BDUF). If your application requirements are
unclear, or if there is a possibility of the design evolving over
time, avoid making a large design effort prematurely. This principle
is sometimes known as YAGNI (“You ain’t gonna need it”).

•分散关注 Separation of concerns. Divide your application into
distinct features with as little overlap in functionality as possible.
The important factor is minimization of interaction points to achieve
high cohesion and low coupling. However, separating functionality at
the wrong boundaries can result in high coupling and complexity
between features even though the contained functionality within a
feature does not significantly overlap.
不同领域的功能,应该由不同的代码和纤维重迭的模块组成。

•单一任务,功效高内聚 Single Responsibility principle. Each
component or module should be responsible for only a specific feature
or functionality, or aggregation of cohesive functionality.

•一个模块不需要通晓另一个模块的内部细节 Principle of Least Knowledge
(also known as the Law of Demeter or LoD).
A component or object
should not know about internal details of other components or
objects.

•Don’t repeat yourself (DRY). You should only need to specify
intent in one place. For example, in terms of application design,
specific functionality should be implemented in only one component;
the functionality should not be duplicated in any other component.

•不要过分设计过多模块 Minimize upfront design. Only design what is
necessary. In some cases, you may require upfront comprehensive design
and testing if the cost of development or a failure in the design is
very high. In other cases, especially for agile development, you can
avoid big design upfront (BDUF). If your application requirements are
unclear, or if there is a possibility of the design evolving over
time, avoid making a large design effort prematurely. This principle
is sometimes known as YAGNI (“You ain’t gonna need it”).

图片 1

图片 2

软件设计 中 SOLID原则

软件设计 中 SOLID原则

Simplicity (KISS)

     The most important principle is keeping things simple.
简单是软件设计的目的,简单的代码占用时间少,漏洞少,并且易于修改。Simplicity
should be your northern star, your compass, and your long-term
commitment. Keeping software simple is difficult because it is
inherently relative. There is no standardized measurement of
simplicity, so when you judge what is simpler, you need to first ask
yourself for whom and when. For example, is it simpler for you or for
your clients? Is it simpler for you to do now or maintain in the
future?

低耦合原则(Minimize Coupling)

      
代码的其它一个有些应该压缩对此外区域代码的倚重关系。尽量不要接纳共享参数。低耦合往往是健全结构系列和出彩设计的标志

Designing for scale      Designing for scale is a difficult art, and each technique
described in this section comes with some costs. As an engineer, you
need to make careful tradeoffs between endless scalability and the
practicality of each solution. To make sure you do not over engineer
by preparing for scale that you will never need, you should first
carefully estimate the most realistic scalability needs of your system
and design accordingly.
Design for Self-Healing
    
The final design principle in this chapter is designing
software for high availability and self-healing. A system is
considered to be available as long as it performs its functions as
expected from the client’s perspective. It does not matter if the
system is experiencing internal partial failure as long as it does not
affect the behavior that clients depend on. In other words, you want
to make your system appear as if all of its components were
functioning perfectly even when things break and during maintenance
times.
Designing For Failure
    
Each application component must be deployed across redundant
cloud components, ideally with minimal or no common points of
failure
      Each application component must make no assumptions about the
underlying infrastructure—it must be able to adapt to changes in the
infrastructure without downtime
      Each application component should be partition tolerant—in other
words, it should be able to survive network latency (or loss of
communication) among the nodes that support that component
      Automation tools must be in place to orchestrate application
responses to failures or other changes in the infrastructure

Simplicity (KISS)

     The most important principle is keeping things simple.
简单是软件设计的对象,简单的代码占用时间少,漏洞少,并且易于修改。Simplicity
should be your northern star, your compass, and your long-term
commitment. Keeping software simple is difficult because it is
inherently relative. There is no standardized measurement of
simplicity, so when you judge what is simpler, you need to first ask
yourself for whom and when. For example, is it simpler for you or for
your clients? Is it simpler for you to do now or maintain in the
future?

低耦合原则(Minimize Coupling)

      
代码的任何一个有些应该压缩对其它区域代码的依赖关系。尽量不要选拔共享参数。低耦合往往是一揽子结构系列和理想设计的讲明

Designing for scale      Designing for scale is a difficult art, and each technique
described in this section comes with some costs. As an engineer, you
need to make careful tradeoffs between endless scalability and the
practicality of each solution. To make sure you do not over engineer
by preparing for scale that you will never need, you should first
carefully estimate the most realistic scalability needs of your system
and design accordingly.
Design for Self-Healing
    
The final design principle in this chapter is designing
software for high availability and self-healing. A system is
considered to be available as long as it performs its functions as
expected from the client’s perspective. It does not matter if the
system is experiencing internal partial failure as long as it does not
affect the behavior that clients depend on. In other words, you want
to make your system appear as if all of its components were
functioning perfectly even when things break and during maintenance
times.
Designing For Failure
    
Each application component must be deployed across redundant
cloud components, ideally with minimal or no common points of
failure
      Each application component must make no assumptions about the
underlying infrastructure—it must be able to adapt to changes in the
infrastructure without downtime
      Each application component should be partition tolerant—in other
words, it should be able to survive network latency (or loss of
communication) among the nodes that support that component
      Automation tools must be in place to orchestrate application
responses to failures or other changes in the infrastructure

有的规划的执行

局部设计的施行

Keep design patterns consistent within each layer. Within a
logical layer, where possible, the design of components should be
consistent for a particular operation. For example, if you choose to
use the Table Data Gateway pattern to create an object that acts as a
gateway to tables or views in a database, you should not include
another pattern such as Repository, which uses a different paradigm
for accessing data and initializing business entities. However, you
may need to use different patterns for tasks in a layer that have a
large variation in requirements, such as an application that contains
business transaction and reporting functionality.
Do not duplicate functionality within an application. There should
be only one component providing a specific functionality—this
functionality should not be duplicated in any other component. This
makes your components cohesive and makes it easier to optimize the
components if a specific feature or functionality changes. Duplication
of functionality within an application can make it difficult to
implement changes, decrease clarity, and introduce potential
inconsistencies.
Prefer composition to inheritance. Wherever possible, use
composition over inheritance when reusing functionality because
inheritance increases the dependency between parent and child classes,
thereby limiting the reuse of child classes. This also reduces the
inheritance hierarchies, which can become very difficult to deal
with.
Establish a coding style and naming convention for development.
Check to see if the organization has established coding style and
naming standards. If not, you should establish common standards. This
provides a consistent model that makes it easier for team members to
review code they did not write, which leads to better
maintainability.
Maintain system quality using automated QA techniques during
development.
Use unit testing and other automated Quality Analysis
techniques, such as dependency analysis and static code analysis,
during development. Define clear behavioral and performance metrics
for components and sub-systems, and use automated QA tools during the
build process to ensure that local design or implementation decisions
do not adversely affect the overall system quality.
Consider the operation of your application. Determine what metrics
and operational data are required by the IT infrastructure to ensure
the efficient deployment and operation of your application. Designing
your application’s components and sub-systems with a clear
understanding of their individual operational requirements will
significantly ease overall deployment and operation. Use automated QA
tools during development to ensure that the correct operational data
is provided by your application’s components and sub-systems.

Keep design patterns consistent within each layer. Within a
logical layer, where possible, the design of components should be
consistent for a particular operation. For example, if you choose to
use the Table Data Gateway pattern to create an object that acts as a
gateway to tables or views in a database, you should not include
another pattern such as Repository, which uses a different paradigm
for accessing data and initializing business entities. However, you
may need to use different patterns for tasks in a layer that have a
large variation in requirements, such as an application that contains
business transaction and reporting functionality.
Do not duplicate functionality within an application. There should
be only one component providing a specific functionality—this
functionality should not be duplicated in any other component. This
makes your components cohesive and makes it easier to optimize the
components if a specific feature or functionality changes. Duplication
of functionality within an application can make it difficult to
implement changes, decrease clarity, and introduce potential
inconsistencies.
Prefer composition to inheritance. Wherever possible, use
composition over inheritance when reusing functionality because
inheritance increases the dependency between parent and child classes,
thereby limiting the reuse of child classes. This also reduces the
inheritance hierarchies, which can become very difficult to deal
with.
Establish a coding style and naming convention for development.
Check to see if the organization has established coding style and
naming standards. If not, you should establish common standards. This
provides a consistent model that makes it easier for team members to
review code they did not write, which leads to better
maintainability.
Maintain system quality using automated QA techniques during
development.
Use unit testing and other automated Quality Analysis
techniques, such as dependency analysis and static code analysis,
during development. Define clear behavioral and performance metrics
for components and sub-systems, and use automated QA tools during the
build process to ensure that local design or implementation decisions
do not adversely affect the overall system quality.
Consider the operation of your application. Determine what metrics
and operational data are required by the IT infrastructure to ensure
the efficient deployment and operation of your application. Designing
your application’s components and sub-systems with a clear
understanding of their individual operational requirements will
significantly ease overall deployment and operation. Use automated QA
tools during development to ensure that the correct operational data
is provided by your application’s components and sub-systems.

在互联网系统下发出的部分标准化

在互联网系统下爆发的有的口径

1.防止单点故障:任何事物都要有多少个。这扩充了资本和复杂度,但却能在可用性和负载性能上收入。而且,这促进设计者采取一种分布式优先的沉思。可(异地)部署和邻近路由连接,破除单点故障;可分布,可调度的标准

2.横向扩张,而不是纵向扩大:升级服务器(纵向)的老本是指数提高的,而充实另一台商用服务器(横向)的财力是线性增长的。
3.尽量减弱应用程序核心所需要形成的劳作。

4.API优先:将应用程序视为一个提供API的劳务,而且,不假定服务的客户端类型(手机使用、Web站点、桌面应用程序)。

5.提供尽可能新的数据:用户可能不需要立时看到最新的数量,最后一致性可以拉动更高的可用性。
6.设计时要考虑保障和自动化:不要低估应用程序维护所需要的时日和工作量。软件第一次公开披露是一个值得表彰的里程碑,但也标志着真正的办事要最先了。
7.为故障做好准备:将故障对极端用户的影响最小化。
8.数码反映和监理平台;
用户作为数据,系统特性监控数据,系统非常和工作有关数据等的申报
9.数目分级存储原则:单内存cache存储,内存cache+异步更新,内存cache+同步革新;
从三个纬度分析用户作为模型,决定有关数据的囤积策略:1),能经得住用户数量的不见吗?2),能忍受多少的非及时性吗?
3),数据的读写比例分布怎样?
10.场馆分离原则;
能静态化尽量静态化,在代码和经过部署上,在DNS层上抓好气象分离的类别规划准备
11.轻重分手原则;
保持衔接和工作处理的分别,接入尽量轻量化,使得系统具备很好的吞吐量,处理尽量异步化,使得可以平滑扩充
12.
消除服务依赖原则:同一IDC的其他服务对系统的熏陶,第三方调用系统接口的隔离和过载珍重,依赖第三方服务的督查和安全保安规则等。
13.柔性可用原则;
处理好非常情形下的灰度体验,区分好重点处理途径和非关键路径,而系统规划要尽量把重大路径转换成非关键路径
14.异步化,能异步的尽心异步原则;
由此内存管道,操作流水等技能拓展拼接各种处理模块
15.灰度规格;
灰度公布政策是遵照用户号码段,用户ip段,依然用户vip等级,用户所在城市等开展灰度升级,保证系统的平整迭代
16.非常的立刻响应和一键切换原则;
IDC断电?系统切换来健康的财力是稍稍?时间吗?需要多少人操作?牛的连串可以一个人在管制后台按一个按钮就可以切换,再按一下就足以切换回来
17.有损服务规范;
用低本钱提供海量的劳务条件
18.充足利用DNS层做好系统的可分布设计
19.区分系统作为和用户作为并各自开展统筹,甚至在关键时刻可以举行转移。
20.努力实现无状态:状态音信要保留在尽可能少的地点,而且要保存在特意计划的机件中。始终不渝app_server设计的无状态统筹标准,转变用户作为为系统作为,使得app_server具有无状态的风味
21.多级cache设计以及各种cache的路由设计
22.“大体系小做”原则  
23.强事情模型到终极一致性事务模型的转移原则
24.尽可能拆分
25.服务架构“去中央化”
26.数据化运营
27.尽可能使用成熟组件
28.尽可能自动化

1.防止单点故障:任何东西都要有多少个。这扩大了资本和复杂度,但却能在可用性和负载性能上收入。而且,这有助于设计者拔取一种分布式优先的合计。可(异地)部署和附近路由连接,破除单点故障;可分布,可调度的标准化

2.横向扩大,而不是纵向增添:升级服务器(纵向)的资本是指数提升的,而扩大另一台商用服务器(横向)的资产是线性增长的。
3.尽量滑坡应用程序核心所需要形成的劳作。

4.API优先:将应用程序视为一个提供API的服务,而且,不假定服务的客户端类型(手机采取、Web站点、桌面应用程序)。

5.提供尽可能新的多寡:用户可能不需要立即看到最新的数据,最后一致性可以带来更高的可用性。
6.设计时要考虑保障和自动化:不要低估应用程序维护所需要的流年和工作量。软件第一次公开发布是一个值得表扬的里程碑,但也标志着真正的行事要先河了。
7.为故障做好准备:将故障对终端用户的影响最小化。
8.数目反馈和监控平台;
用户作为数据,系统特性监控数据,系统相当和作业有关数据等的上报
9.数目分级存储原则:单内存cache存储,内存cache+异步更新,内存cache+同步更新;
从两个纬度分析用户作为模型,决定有关数据的积存策略:1),能经受用户数据的散失吗?2),能经得住多少的非及时性吗?
3),数据的读写比例分布怎么样?
10.场合分离原则;
能静态化尽量静态化,在代码和经过部署上,在DNS层上抓好气象分离的序列规划准备
11.轻重分手原则;
保持衔接和作业处理的分别,接入尽量轻量化,使得系统所有很好的吞吐量,处理尽量异步化,使得可以平滑扩张
12.
消除服务依赖原则:同一IDC的其他服务对系统的熏陶,第三方调用系统接口的隔离和过载珍爱,倚重第三方服务的督查和安全维护条件等。
13.柔性可用原则;
处理好非凡境况下的灰度体验,区分好根本处理途径和非关键路径,而系统规划要尽量把重大路径转换成非关键路径
14.异步化,能异步的尽心异步原则;
经过内存管道,操作流水等技巧举办拼接各类处理模块
15.灰度条件;
灰度公布政策是依据用户号码段,用户ip段,依旧用户vip等级,用户所在城市等开展灰度升级,保证系统的平缓迭代
16.要命的迅猛响应和一键切换原则;
IDC断电?系统切换来健康的资金是有点?时间吧?需要几人操作?牛的系列可以一个人在治本后台按一个按钮就可以切换,再按一下就足以切换回来
17.有损服务条件;
用低本钱提供海量的劳务标准
18.充足利用DNS层做好系统的可分布设计
19.区分系统作为和用户作为并分别开展统筹,甚至在关键时刻可以开展转换。
20.努力实现无状态:状态信息要封存在尽可能少的地方,而且要保留在专门设计的组件中。坚贞不屈app_server设计的无状态统筹标准,转变用户作为为系统作为,使得app_server具有无状态的风味
21.多级cache设计以及各种cache的路由设计
22.“大系统小做”原则  
23.强事情模型到结尾一致性事务模型的变换原则
24.尽可能拆分
25.劳动架构“去核心化”
26.数据化运营
27.尽可能使用成熟组件
28.尽可能自动化

常见web系统规划的部分基本标准:

大规模web系统规划的有些为主标准:

可用性:
一个网站的常规运行时刻对于广大集团的名声与运作都是至关首要的。对于部分更大的在线零售站点,几秒钟的不可用都会招致数千或数百万新币的营收损失,由此系统规划得可以持续服务,并且能迅速从故障中复苏是技术和业务的最基本要求。分布式系统中的高可用性需要细致考虑关键部件的冗余,从部分系统故障中很快复原,以及问题时有暴发时优雅降级。
性能:
对于多数站点而言,网站的性质已变成一个根本的考虑要素。网站的进度影响着使用和用户满意度,以及查找引擎名次,与营收和是否能留给用户直接相关。因而,创造一个对准急忙响应与低顺延举办优化的系统相当重大。
可靠性:
系统必须是保险的,这样平等数量请求才会始终再次回到相同的多少。数据变换或更新之后,同样的呼吁则应当回到新的多寡。用户应该明了一点:假诺东西写入了系统,或者取得存储,那么它会持久化并且肯定保持不变以便未来进展搜寻。
可扩充性:
对于另外大型分布式系统而言,大小(size)只是急需考虑的范围(scale)问题的一个方面。同样非同小可的是不遗余力去增强处理更大负荷的能力,这一般被称为系统的可扩展性。可扩大性以序列的成千上万见仁见智参数为参照:可以处理多少额外流量?扩充存储容量有多容易?可以处理多少更多的作业?
可管理性:
系统规划得容易运维是另一个重要的设想因素。系统的可管理性等价于运维(维护和翻新)的可扩张性。对于可管理性需要考虑的是:问题发出时便于诊断与明白,便于更新或修改,系统运维起来何等简单(例如:常规运维是否不会抓住失利或特别?)
成本:
成本是一个生死攸关元素。很分明这包括硬件和软件成本,但也要考虑系统安排和维护这一方面。系统构建所花费的开发者时间,系统运行所急需的运维工作量,以及陶铸工作都应有考虑进来。成本是有所系统的总财力。

可用性:
一个网站的正规运转时刻对于许多合作社的名声与运行都是首要的。对于有些更大的在线零售站点,几分钟的不可用都会导致数千或数百万先令的营收损失,由此系统规划得可以持续服务,并且能便捷从故障中回复是技术和事务的最中央要求。分布式系统中的高可用性需要仔细考虑关键部件的冗余,从局部系统故障中神速复原,以及问题发生时优雅降级。
性能:
对于大多数站点而言,网站的习性已化作一个根本的考虑要素。网站的速度影响着使用和用户满意度,以及查找引擎排行,与营收和是否能留住用户直接相关。由此,创制一个针对飞快响应与低顺延举行优化的系统特别首要。
可靠性:
系统必须是牢靠的,这样平等数量请求才会一贯再次来到相同的多寡。数据变换或更新之后,同样的伸手则应该回到新的数量。用户应该清楚一点:倘使东西写入了系统,或者取得存储,那么它会持久化并且肯定保持不变以便将来开展搜索。
可扩大性:
对于任何大型分布式系统而言,大小(size)只是需要考虑的层面(scale)问题的一个方面。同样举足轻重的是大力去增强处理更大负荷的能力,这一般被称为系统的可扩张性。可扩充性以体系的众多两样参数为参照:可以处理多少额外流量?增添存储容量有多容易?能够处理多少更多的事务?
可管理性:
系统规划得容易运维是另一个第一的考虑要素。系统的可管理性等价于运维(维护和革新)的可增加性。对于可管理性需要考虑的是:问题时有暴发时容易诊断与了然,便于更新或改动,系统运维起来何等简单(例如:常规运维是否不会掀起失败或特别?)
成本:
成本是一个重中之重因素。很强烈这包括硬件和软件成本,但也要考虑系统布局和护卫这一端。系统构建所花费的开发者时间,系统运转所急需的运维工作量,以及培育工作都应当考虑进来。成本是负有系统的总财力。

剩下来 就足以围绕 ISO 9126质地模型:软件质地模型的6大特点和27个子特性
来举行系统规划与分析,度量, 他们是:

剩下来 就足以围绕 ISO 9126成色模型:软件质地模型的6大特点和27个子特性
来开展系统规划与分析,度量, 他们是:

一、功能性:
1、适合性:提供了对应的职能
2、准确性:正确(用户需要的)
3、互操作性:产品与制品里面相互数据的能力
4、保密安全性:允许通过授权的用户和连串可以健康的造访相应的数量和信息,禁止未授权的用户访问…….
5、功效性的依从性:国际/国家/行业/公司 标准规范一致性

二、可靠性:产品在确定的尺码下,在规定的年月内成功规定职能的力量
1、成熟性:避免内部错误造成软件失效的力量
2、容错性:软件出现故障,自我处理能力
3、易恢复生机性:失效意况下的回复能力
4、可靠性的依从性

三、易用性:在指定使用口径下,产品被清楚、
学习、使用和吸引用户的能力
1、易领悟性:
2、易学性:
3、易操作性:
4、吸引性:
5、易用性的依从性:

四、功用性:在规定台标准下,相对于所用资源的数据,软件出品可提供方便性能的力量
1、时间特性:平均事务响应时间,吞吐率,TPS(每秒事务数)
2、资源利用性:CPU 内存 磁盘 IO 网络带宽 队列 共享内存
3、效能依从性:

五、软件维护性:”四规”,
在规定标准下,规定的光阴内,使用规定的工具或艺术修复规定职能的能力
1、易分析性:分析定位问题的难易程度
2、易改变性:软件出品使指定的改动可以被实现的力量
3、稳定性:避免意外修改导致程序失效
4、易 测试性:使已修改软件能被认可的能力
5、维护性的依从性

六、软件可移植性:从一种环境迁移到另一种环境的能力
1、适应性:适应不同平台
2、易安装性:被设置的能力
3、共存性:
4、易替换性
5、可移植性的依从性:

一、功能性:
1、适合性:提供了相应的功用
2、准确性:正确(用户需要的)
3、互操作性:产品与产品之间互相数据的力量
4、保密安全性:允许通过授权的用户和系统可以健康的走访相应的数码和音讯,禁止未授权的用户访问…….
5、效率性的依从性:国际/国家/行业/公司 标准规范一致性

二、可靠性:产品在规定的标准下,在确定的时日内到位规定职能的能力
1、成熟性:制止内部错误导致软件失效的力量
2、容错性:软件出现故障,自我处理能力
3、易復苏性:失效情状下的回复能力
4、可靠性的依从性

三、易用性:在指定使用口径下,产品被精晓、
学习、使用和吸引用户的力量
1、易精通性:
2、易学性:
3、易操作性:
4、吸引性:
5、易用性的依从性:

四、效率性:在确定台标准下,相对于所用资源的数码,软件出品可提供适宜性能的能力
1、时间特性:平均事务响应时间,吞吐率,TPS(每秒事务数)
2、资源利用性:CPU 内存 磁盘 IO 网络带宽 队列 共享内存
3、效能依从性:

五、软件维护性:”四规”,
在规定标准下,规定的日子内,使用规定的工具或艺术修复规定职能的力量
1、易分析性:分析定位问题的难易程度
2、易改变性:软件出品使指定的改动可以被实现的能力
3、稳定性:防止意外修改导致程序失效
4、易 测试性:使已修改软件能被肯定的力量
5、维护性的依从性

六、软件可移植性:从一种环境迁移到另一种环境的力量
1、适应性:适应不同平台
2、易安装性:被设置的力量
3、共存性:
4、易替换性
5、可移植性的依从性:

精心回忆现在各样的系统平台,框架,组件,工程措施,都至少含有有下面的计划思想与规则。可能还有遗漏的,后续补充。

有心人回忆现在各项的系列平台,框架,组件,工程措施,都至少含有有地点的计划思想与标准。可能还有遗漏的,后续补充。



前些天先到这时,希望对你在系统架构设计与评估,团队管理, 项目管理, 产品管理
有参照意义 , 您可能感兴趣的篇章:
互联网电商购物车架构衍生和变化案例
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互联网电商搜索架构衍变之一
店家音讯化与软件工程的迷思
供销社项目化管理介绍
软件项目中标之要素
人际交流风格介绍一
精益IT社团与分享式领导
学习型协会与信用社
商店更新知识与品级观念
团协会目的与民用目标
初创公司人才招聘与管理
红颜公司环境与信用社文化
合作社文化、团队文化与学识共享
高效能的团社团建设
系列管理挂钩计划
构建高速的研发与自动化运维
某大型电商云平台实践
互联网数据库架构设计思路
IT基础架构规划方案一(网络体系规划)
餐饮行业解决方案之客户分析流程
餐饮行业解决方案之采购战略制定与执行流程
餐饮行业解决方案之业务设计流程
供应链需求调研CheckList
集团应用之性质实时度量系统衍生和变化

前几日先到这时,希望对你在系统架构设计与评估,团队管理, 项目管理, 产品管理
有参照功能 , 您可能感兴趣的稿子:
互联网电商购物车架构衍变案例
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互联网电商搜索架构演变之一
店家音讯化与软件工程的迷思
集团项目化管理介绍
软件项目中标之要素
人际交换风格介绍一
精益IT社团与分享式领导
学习型社团与合作社
商店改进文化与品级观念
团体目标与个体目的
初创公司人才招聘与治本
美貌公司环境与合作社文化
商家文化、团队文化与学识共享
高效率的社团建设
项目管理关系计划
构建连忙的研发与自动化运维
某大型电商云平台实践
互联网数据库架构设计思路
IT基础架构规划方案一(网络体系规划)
餐饮行业解决方案之客户分析流程
餐饮行业解决方案之采购战略制定与执行流程
餐饮行业解决方案之业务设计流程
供应链需求调研CheckList
公司应用之性质实时度量系统演变

如有想精晓更多软件设计与架构, 系统IT,集团信息化, 团队管理
资讯,请关注我的微信订阅号:

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作者:Petter Liu
出处:http://www.cnblogs.com/wintersun/
正文版权归作者和乐乎共有,欢迎转载,但未经作者同意必须保留此段表明,且在篇章页面显然地方给出原文连接,否则保留追究法律责任的权利。
该小说也还要宣告在自己的独自博客中-Petter Liu
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作者:Petter Liu
出处:http://www.cnblogs.com/wintersun/
正文版权归作者和新浪共有,欢迎转载,但未经作者同意必须保留此段注解,且在篇章页面显著地方给出原文连接,否则保留追究法律责任的权利。
该作品也还要发表在本人的独自博客中-Petter Liu
Blog

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