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translating---geekpi
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5 things to watch in Go programming in 2017
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============================================================
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### What will innovations like dynamic plugins, serverless Go, and HTTP/2 Push mean for your development this year?
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Go 1.8 is due to be released next month and it’s slated to have several new features, including:
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* [HTTP/2 Push][1]
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* [HTTP Server Graceful Shutdown][2]
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* [Plugins][3]
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* [Default GOPATH][4]
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Which of these new features will have the most impact probably depends on how you and your development team use Go. Since Go 1.0 released in 2012, its emphasis on simplicity, concurrency, and built-in support has kept its [popularity][9] pointed up and to the right, so the answers to “_What is Go good for?_” keep multiplying.
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Here I’ll offer some thoughts on a few things from the upcoming release and elsewhere in the Go world that have caught my eye recently. It’s hardly an exhaustive list, so [let me know][10] what else you think is going to be important in Go for 2017.
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### Go’s super deployability + plugins = containers, anyone?
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The [1.8 release][11] planned for next month has several folks I’ve talked with wondering how the addition of dynamic plugins — for loading shared libraries with code that wasn’t part of the program when it was compiled — will affect things like containers. Dynamic plugins should make it simpler to use high-concurrency microservices in containers. You’ll be able to easily load plugins as external processes, with all the added benefits of microservices in containers: protecting your main process from crashes and not having anything messing around in your memory space. Dynamic support for plugins should really be a boon for using containers in Go.
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_For some expert live Go training, sign up for _[_Go Beyond the Basics_][12]_._
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### Cross-platform support will keep pulling in developers
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In the 7 years since Go was open-sourced, it has been adopted across the globe. [Daniel Whitenack][13], a data scientist and engineer who maintains the Go kernel for Jupyter, told me he recently [gave a data science and Go training in Siberia][14], (yes, Siberia! And, yes data science and Go — more on that in a bit . . .) and “was amazed to see how vibrant and active the Go community was there.” Another big reason folks will continue to adopt Go for their projects is cross compilation, which, as several Go experts have explained, [got even easier with the 1.5 release][15]. Developers from other languages such as Python should find the ability to build a bundled, ready-to-deploy application for multiple operating systems with no VM on target platforms a key draw for working in Go.
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Pair this cross-platform support with projected [15% speed improvements in compile time][16] in the 1.8 release, and you can see why Go is a favorite language for startups.
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_Interested in the basics of Go? Check out the _[_Go Fundamentals Learning Path_][17]_ for guidance from O’Reilly experts to get you started._
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### A Go interpreter is in the works; goodbye Read-Eval-Print-Loop
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Some really smart people are working on a [Go Interpreter][18], and I will definitely be watching this. As many of you know too well, there are several Read-Eval-Print-Loop (REPL) solutions out there that can evaluate expressions and make sure your code works as expected, but these methods often mean tolerating inconvenient caveats, or slogging through several to find the one that fits your use case. A robust, consistent interpreter would be great, and as soon as I hear more, I’ll let you know.
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_Working with Go complexities in your development? Watch the _[_Intermediate Go_][19]_ video training from O’Reilly._
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### Serverless for Go — what will that look like?
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Yes, there’s a lot of hype right now around serverless architecture, a.k.a. function as a service (FaaS). But sometimes where there’s smoke there’s fire, so what’s happening in the Go space around serverless? Could we see a serverless service with native support for Go this year?
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AWS Lambda is the most well-known serverless provider, but Google also recently launched [Google Cloud Functions][20]. Both of these FaaS solutions let you run code without managing servers; your code is stored on a cluster of servers managed for you and run only when a triggering event calls it. AWS Lambda currently supports JavaScript, Python, and Java, plus you can launch Go, Ruby, and bash processes. Google Cloud Functions only supports JavaScript, but it seems likely that both Java and Python will soon be supported, too. A lot of IoT devices already make use of a serverless approach, and with Go’s growing adoption by startups, serverless seems a likely spot for growth, so I’m watching what develops to support Go in these serverless solutions.
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There are already [several frameworks that have Go support][21] underway for AWS Lambdas:
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* [λ Gordon][5] — Create, wire and deploy AWS Lambdas using CloudFormation
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* [Apex][6] — Build, deploy, and manage AWS Lambda functions
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* [Sparta][7] — A Go framework for AWS Lambda microservices
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There’s also an AWS Lambda alternative that supports Go:
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* [Iron.io][8]: Built on top of Docker and Go; language agnostic; supports Golang, Python, Ruby, PHP, and .NET
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_For more on serverless architecture, watch Mike Roberts’ keynote from the O’Reilly Software Architecture Conference in San Francisco: _[_An Introduction to Serverless_][22]_._
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### Go for Data — no really!
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I hinted at this at the beginning of this article: perhaps surprisingly, a lot of people are using Go for data science and machine learning. There’s some debate about whether this is a good fit, but based on things like the annual Advent Posts for [Gopher Academy for December 2016][23], where you’ll note at least 4 of the 30 posts are on ML or distributed data processing of some kind, it’s happening.
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My earlier point about Go’s easy deployability is probably one key reason data scientists are working with Go: they can more easily show their data models to others in a readable and productionable application. Pair this with the broad adoption of Go (as I mentioned earlier, its popularity is pointed up and to the right!), and you have data folks creating applications that “work and play well with others.” Any applications data scientists build in Go will speak the same language as the rest of the company, or at least fit very well with modern architectures.
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_For more on Go for data science, Daniel Whitenack has written an excellent overview that explains more about how it’s being used: _[_Data Science Gophers_][24]_._
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--------------------------------------------------------------------------------
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作者简介:
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![](https://cdn-images-1.medium.com/fit/c/60/60/1*MFGykrfk6_HjkJzePBtaMw.png)
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Supervising Editor at O’Reilly Media, works with an editorial team that covers a wide variety of programming topics.
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--------------------------------------------------------------------------------
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via: https://medium.com/@sconant/5-things-to-watch-in-go-programming-in-2017-39cd7a7e58e3#.8t4to5jr1
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作者:[Susan Conant][a]
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译者:[译者ID](https://github.com/译者ID)
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校对:[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
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||||
[a]:https://medium.com/@sconant?source=footer_card
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[1]:https://beta.golang.org/doc/go1.8#h2push
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[2]:https://beta.golang.org/doc/go1.8#http_shutdown
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[3]:https://beta.golang.org/doc/go1.8#plugin
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[4]:https://beta.golang.org/doc/go1.8#gopath
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[5]:https://github.com/jorgebastida/gordon
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[6]:https://github.com/apex/apex
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[7]:http://gosparta.io/
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[8]:https://www.iron.io/
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[9]:https://github.com/golang/go/wiki/GoUsers
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[10]:https://twitter.com/SuConant
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[11]:https://beta.golang.org/doc/go1.8
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[12]:https://www.safaribooksonline.com/live-training/courses/go-beyond-the-basics/0636920065357/
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[13]:https://www.oreilly.com/people/1ea0c-daniel-whitenack
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[14]:https://devfest.gdg.org.ru/en/
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[15]:https://medium.com/@rakyll/go-1-5-cross-compilation-488092ba44ec#.7s7sxmc4h
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[16]:https://beta.golang.org/doc/go1.8#compiler
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[17]:http://shop.oreilly.com/category/learning-path/go-fundamentals.do
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[18]:https://github.com/go-interpreter
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[19]:http://shop.oreilly.com/product/0636920047513.do
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[20]:https://cloud.google.com/functions/docs/
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[21]:https://github.com/SerifAndSemaphore/go-serverless-list
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[22]:https://www.safaribooksonline.com/library/view/oreilly-software-architecture/9781491976142/video288473.html?utm_source=oreilly&utm_medium=newsite&utm_campaign=5-things-to-watch-in-go-programming-body-text-cta
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[23]:https://blog.gopheracademy.com/series/advent-2016/
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[24]:https://www.oreilly.com/ideas/data-science-gophers
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@ -0,0 +1,106 @@
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2017年Go语言值得关注的点
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============================================================
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### 今年像动态插件,serverless的 Go 以及 HTTP/2 这些创新对你的开发意味着什么?
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Go 1.8 将于下个月发布,它将有几个新功能,包括:
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* [HTTP/2 Push] [1]
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* [HTTP 服务器平滑关闭] [2]
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* [插件] [3]
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* [缺省 GOPATH] [4]
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这些新功能的影响力取决于你和开发团队如何使用 Go。 自从 Go 1.0 于 2012 年发布以来,其强调简单性,并发性和内置支持保持其[人气][9]的增长,所以“_Go擅长什么_”的答案一直在增长。
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这里我会提供一些想法,从即将到来的版本及 Go 世界其他最近吸引了我眼睛的地方。这不是一个详尽的列表,所以请[让我知道][10]你所认为的在 2017 年 Go 会发生重要的事。
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### Go 的超级可部署性+插件=容器、任何东西?
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下个月计划发布的[1.8版本][11],我已经与几个人交谈过如何添加动态插件 - 这是为了加载在编译时不是程序一部分的共享库的代码 - 它类似于像容器。 动态插件使容器中的高并发微服务变得更加简单。 你可以轻松地加载插件作为外部进程,微服务的所有额外的好处在容器中:保护你的主进程不会崩溃,并且没有任何东西会搞乱你的内存空间。 对插件的动态支持应该是在Go中使用容器的福音。
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_关于专家现场 Go 培训,请注册_[_Go Beyond the Basics_][12]_。_
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### 跨平台支持仍在吸引开发人员
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在 Go 开源之后的 7 年里,它已被全球采用。[Daniel Whitenack][13]是一名数据科学家和工程师,他为 Jupyter 维护 Go 内核,告诉我最近他[在西伯利亚做数据科学和 Go 语言培训][14],(是的,在西伯利亚!数据科学和Go - Go更多的一点。。。)并“很惊讶地看到 Go 社区是如此活跃和积极。” 几个 Go 专家解释说将继续采取 Go 用于项目另一个很大的原因是交叉编译,[在 Go 1.5 版本中更容易了][15]。来自其他语言(如 Python)的开发人员应该发现为多个操作系统构建捆绑的、可以部署的应用程序在目标平台上没有 VM 是在 Go 中工作的关键。
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在 1.8 版本中支持的跨平台支持与预计[编译时的 15% 的速度提高][16],你就可以看到为什么 Go 是初创公司最喜欢的语言。
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_有兴趣了解 Go 的基础知识吗?查看 _[_Go 基础学习路径_][17]_让 O’Reilly 专家来带你开始。_
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### 一个 Go 的解释器在开发中:再见 Read-Eval-Print-Loop
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有一些真正的聪明人正在做一个[Go 解释器][18],我一定会一直注意它。如你所知的那样,有几个 Read-Eval-Print-Loop(REPL)的解决方案可以用来评估表达式并确保代码按预期工作,但这些方法通常意味着容忍不便的事项,或通过几个方案来找到一个适合你的案例。一个健壮、一致的解释器将是伟大的,一旦我了解到更多我会让你知道。
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_在开发中使用 Go 复杂特性?观看 O'Reilly 的视频训练_[_中级 Go _][19]
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### Go 的 serverless - 会是什么样子?
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是的,现在有很多炒作围绕 serverless 架构,也就是功能即服务(FaaS)。但有时候也有些模糊,那么关于 Go 的 serverless 发生了什么?我们能在今年看到一个 Go 语言原生支持的 serverless 服务么?
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AWS Lambda 是最知名的 serverless 提供商,但 Google 最近还推出了[Google Cloud Functions][20]。这两个 FaaS 解决方案使你可以在不管理服务器的情况下运行代码,你的代码存储别人为你管理的服务器集群上,并且仅在触发事件调用它时运行。AWS Lambda 目前支持JavaScript、Python 和 Java,还可以启动 Go、Ruby和 bash 进程。 Google Cloud Functions 只支持 JavaScript,但似乎很可能即将支持 Java 和 Python。许多物联网设备已经使用 serverless 方法,随着 Go 越来越多地被创业公司采用,serverless似乎是一个可能的增长点,所以我在这些serverless解决方案中关注 Go 的开发。
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已经有几个框架可以支持 AWS Lambdas:
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* [λGordon][5] - 使用 CloudFormation 创建、连接及部署 AWS Lambdas
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* [Apex][6] - 构建、部署及管理 AWS Lambda 函数
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* [Sparta][7] - AWS Lambda 微服务的 Go 框架
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还有一个 AWS Lambda 替代品支持Go:
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* [Iron.io][8]:建立在 Docker 和 Go 之上;语言不可知;支持 Golang、Python、Ruby、PHP 和 .NET
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_有关 serverless 架构的更多信息,请观看 Mike Roberts 在旧金山 O'Reilly 软件架构会议上的演讲主题:_[_serverless介绍_][22] _。_
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### 数据科学中的 Go
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我在本文开头暗示了这一点:也许令人惊讶的是很多人都在使用 Go 进行数据科学和机器学习。关于它是否适合还有一些争论,但基于像[ Gopher 学院在 2016年12月][23]的年度文章那样,你会注意到 30 个帖子中至少有 4 个是 ML 或分布式数据处理,这些都发生了。
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我之前关于 Go 的易部署性的观点可能是数据科学家使用Go的一个关键原因:他们可以更轻松地在可读以及可用于生产的应用程序中向他人展示数据模型。与 Go 的广泛使用(正如我前面提到的,它正变得越来越流行!),与你有数据的人创建“可用并且其他人也可以用”的程序。任何使用Go构建的应用数据科学家会在公司其他部分使用相同的语言,或者至少非常适合现代架构。
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_更多关于 Go 的数据科学,Daniel Whitenack 写了一个很好的概述,解释了如何使用它:_[_ Data Science Gophers_][24]_。_
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--------------------------------------------------------------------------------
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作者简介:
|
||||
|
||||
![](https://cdn-images-1.medium.com/fit/c/60/60/1*MFGykrfk6_HjkJzePBtaMw.png)
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O'Reilly Media 的监督编辑,与编辑团队合作,涵盖各种各样的编程主题。
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||||
--------------------------------------------------------------------------------
|
||||
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||||
via: https://medium.com/@sconant/5-things-to-watch-in-go-programming-in-2017-39cd7a7e58e3#.8t4to5jr1
|
||||
|
||||
作者:[Susan Conant][a]
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译者:[geekpi](https://github.com/geekpi)
|
||||
校对:[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]:https://medium.com/@sconant?source=footer_card
|
||||
[1]:https://beta.golang.org/doc/go1.8#h2push
|
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[2]:https://beta.golang.org/doc/go1.8#http_shutdown
|
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[3]:https://beta.golang.org/doc/go1.8#plugin
|
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[4]:https://beta.golang.org/doc/go1.8#gopath
|
||||
[5]:https://github.com/jorgebastida/gordon
|
||||
[6]:https://github.com/apex/apex
|
||||
[7]:http://gosparta.io/
|
||||
[8]:https://www.iron.io/
|
||||
[9]:https://github.com/golang/go/wiki/GoUsers
|
||||
[10]:https://twitter.com/SuConant
|
||||
[11]:https://beta.golang.org/doc/go1.8
|
||||
[12]:https://www.safaribooksonline.com/live-training/courses/go-beyond-the-basics/0636920065357/
|
||||
[13]:https://www.oreilly.com/people/1ea0c-daniel-whitenack
|
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[14]:https://devfest.gdg.org.ru/en/
|
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[15]:https://medium.com/@rakyll/go-1-5-cross-compilation-488092ba44ec#.7s7sxmc4h
|
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[16]:https://beta.golang.org/doc/go1.8#compiler
|
||||
[17]:http://shop.oreilly.com/category/learning-path/go-fundamentals.do
|
||||
[18]:https://github.com/go-interpreter
|
||||
[19]:http://shop.oreilly.com/product/0636920047513.do
|
||||
[20]:https://cloud.google.com/functions/docs/
|
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[21]:https://github.com/SerifAndSemaphore/go-serverless-list
|
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[22]:https://www.safaribooksonline.com/library/view/oreilly-software-architecture/9781491976142/video288473.html?utm_source=oreilly&utm_medium=newsite&utm_campaign=5-things-to-watch-in-go-programming-body-text-cta
|
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[23]:https://blog.gopheracademy.com/series/advent-2016/
|
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[24]:https://www.oreilly.com/ideas/data-science-gophers
|
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