在2006年，台式机程序员或服务器程序员不应该还需要管理内存。
In 2006, no desktop or server programmers should be managing their own memory.
新程序员对于所有这些觉得很难理解的原因是：不管您在应用服务器本地运行任何东西，这东西通常都会听话地工作。
The reason all this is so tricky for new programmers is that when you run everything local to your app server, this stuff generally just works.
他们有数以千计聪明的程序员、巨大的服务器、以及搜索引擎专家。
They've got thousands of smart programmers, huge server farms, and experts in search on staff.
您是一名“系统程序员”—您编写代码以保持服务器正常运转，并且为您的应用程序开发人员同事提供所需的底层功能。
You're a "systems programmer" — you write code to keep servers healthy and to supply your application developer colleagues with the low-level functionality they need.
如果状态总是由客户机提供，服务器就是无状态的(至少从程序员的角度来看)：不会维护数据，只需处理传入的数据。
If state is always provided by the client, the server remains (at least from a programmer's viewpoint) stateless: There is no data to maintain, just incoming data to process as it shows up.
云计算将可移植设备与强大的服务器互为补充，它需要一个能够让服务器架构师和程序员最大程度利用小型客户机机器的操作系统。
Cloud computing, where portable devices complement powerful servers, requires an operating system that maximizes what the server architects and programmers can do on a small client machine.
程序员需要工具和在线性能计算的仪器以确认一个在桌面上工作很好的应用程序部署在8位簇群，32位服务器，或一64位OS上能否起到很好的效果。
Programmers need tools and online performance calculators to validate whether an application that works great on a desktop makes sense to deploy on an 8-way cluster, a 32-way server, or a 64-bit OS.
EJB服务器提供线程管理、并发管理、内存管理以及安全方面的功能，并自动完成这些任务，以便于应用程序程序员摆脱这些细节方面的负担。
The EJB servers provide functionality for threading, concurrency, memory management, and security and do these things automatically so as not to burden the application programmer with the details.
程序员应该将这一信息存储在Web应用服务器的会话层或者cookie中。
Instead, your programmers should store this information in the session layer of your Web application server or in a cookie.
wikiAutoLoad是自动的wiki内容上传脚本，它为shell程序员或系统管理员提供一种把wiki内容上传到MediaWiki服务器的自动机制。
WikiAutoLoad is an automated wiki content uploading script that provides the shell programmer or system administrator with an automated mechanism for uploading wiki content to a MediaWiki server.
而程序员需要提供服务器端的类，它包含了PRC的处理逻辑。
The programmer needs to supply classes on the server side that provide the logic for handling an RPC request.
从程序员的角度而言，PortletSession使用很方便，但从应用程序服务器的角度而言，管理会话需要使用资源。
While PortletSession is convenient to use from a programmer's perspective, it requires resources for managing sessions from an application server perspective.
另一方面，许多系统程序员，他们身怀可以帮助最终用户集成复杂工作流的专业技能，却并不认为Microsoftword格式是服务器端编程切实可行的目标。
On the other side, many of the system programmers with the expertise to help end-users integrate complex work-flows don't regard Microsoft Word formats as feasible targets for server-side programming.
$_SERVER序列变量包含了服务器端变量，允许程序员重定义AcceptHTTP头信息。
The $_SERVER array contains the server variables, allowing us to interrogate the Accept HTTP header.
第二天，当程序员用终端模拟窗口再次打开应用服务器和数据库服务器时，她向下看了一眼Windows任务栏中的时钟。
Later that day, when she had terminal emulation Windows opened against the application server and database server, the programmer looked down at the clock on the Windows taskbar.
大多数业务程序员都不愿意，为了使用JDBCSPI而编写他们自己的数据源和连接池代码，并实现一个命名的服务器。
Most business programmers cannot justify the time it takes to write their own datasource and connection pool code plus implement a naming server so the JDBC SPI can be used.
这两个标签库让程序员可以开发与J2EE 兼容的应用服务器上的LotusDomino 进行交互的J2EE应用程序。
These libraries provide programmers the ability to develop J2EE applications that can interact with Lotus Domino on virtually any J2EE-compliant application server.
无论是客户端还是服务器端，对Web程序员来说它都是一个很好的参考资料。
It is a good resource for Web programmers, both on the client and server side.
服务器诊所的前几篇专栏文章介绍了怎样在Linux 上完成某些许多程序员认为一定要在其他系统进行的工作，包括：“ 服务器上的RTF”和“ 用于服务器的PDF”。
Several previous Server clinic installments explain how to do jobs on Linux that many programmers believe must be hosted elsewhere, including " RTF on the server" and " PDF for the server".
从自己部署服务器到在云中使用Docker，这一条技术路线是无数不愿意重复完成简单工作的程序员构建起来的。
From the deployment of their own servers to use Docker in the cloud, this technical route is a lot of developers do not want to repeat simple work to build a simple.
从自己部署服务器到在云中使用Docker，这一条技术路线是无数不愿意重复完成简单工作的程序员构建起来的。
From the deployment of their own servers to use Docker in the cloud, this technical route is a lot of developers do not want to repeat simple work to build a simple.
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