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[#]: collector: (lujun9972)
[#]: translator: (lxbwolf)
[#]: reviewer: ( )
[#]: publisher: ( )
[#]: url: ( )
[#]: subject: (5 predictions for Kubernetes in 2020)
[#]: via: (https://opensource.com/article/20/1/kubernetes-2020)
[#]: author: (Scott McCarty https://opensource.com/users/fatherlinux)
5 predictions for Kubernetes in 2020
======
Plus, a look back at the most popular Kubernetes articles on the site in
2019.
![Person drinking a hat drink at the computer][1]
How do you track a wildly popular project like Kubernetes? How do you figure out where it’s going? If you are contributing to the project or participating in Special Interest Groups (SIGs), you might gain insight by osmosis, but for those of you with day jobs that don’t include contributing to Kubernetes, you might like a little help reading the tea leaves. With a fast-moving project like Kubernetes, the end of the year is an excellent time to take a look at the past year to gain insight into the next one.
This year, Kubernetes made a lot of progress. Aside from inspecting code, documentation, and meeting notes, another good source is blog entries. To gain some insights, I took a look at the top ten Kubernetes articles on Opensource.com. These articles give us insight into what topics people are interested in reading, but just as importantly, what articles people are interested in writing. Let’s dig in!
(Get the full list of top 10 Kubernetes articles from 2019 at the end.)
First, I would point out that five of these articles tackle the expansion of workloads and where they can run. This expansion of workloads includes data science, PostgreSQL, InfluxDB, and Grafana (as a workload, not just to monitor the cluster itself) and Edge. Historically, Kubernetes and containers in general have mostly run on top of virtual machines, especially when run on infrastructure provided by cloud providers. With this interest in Kubernetes at the edge, it’s another sign that end users are genuinely interested in Kubernetes on bare metal (see also [Kubernetes on metal with OpenShift][2]).
Next, there seems to be a lot of hunger for operational knowledge and best practices with Kubernetes. From [Kubernetes Operators][3], to [Kubernetes Controllers][4], from [Secrets][5] to [ConfigMaps][6], developers and operators alike are looking for best practices and ways to simplify workload deployment and management. Often we get caught up in the actual configuration example, or how people do it, and don’t take a step back to realize that all of these fall into the bucket of how to operationalize the deployment of applications (not how to install or run Kubernetes itself).
Finally, people seem to be really interested in getting started. In fact, there is so much information on how to build Kubernetes that it intimidates people and gets them down the wrong path. A couple of the top articles focus on why you should learn to run applications on Kubernetes instead of concentrating on installing it. Like best practices, people often don’t take a step back to analyze where they should invest their time when getting started. I have always advocated for, where possible, spending limited time and money on using technology instead of building it.
### 5 predictions for Kubernetes in 2020
So, looking back at those themes from 2019, what does this tell us about where 2020 is going? Well, combining insight from these articles with my own broad purview, I want to share my thoughts for 2020 and beyond:
1. Expansion of workloads. I would keep my eye on high-performance computing, AI/ML, and stateful workloads using Operators.
2. More concrete best practices, especially around mature standards like PCI, HIPAA, NIST, etc.
3. Increased security around rootless and higher security [runtimes classes][7] (like [gVisor][8], [Kata Containers][9], etc.)
4. Better standardization on Kubernetes manifests as the core artifact for deployment in development and sharing applications between developers. Things like [podman generate kube][10], [podman play kube][11], and all in one Kubernetes environments like [CodeReady Containers (CRC)][12]
5. An ever-wider ecosystem of network, storage and specialized hardware (GPUs, etc.) vendors creating best of breed solutions for Kubernetes (in free software, we believe that open ecosystems are better than vertically integrated solutions)
I'm looking forward to another great year in Kubernetes!
**Top 10 Kubernetes articles for 2019**
--------------------------------------------------------------------------------
via: https://opensource.com/article/20/1/kubernetes-2020
作者：[Scott McCarty][a]
选题：[lujun9972][b]
译者：[译者ID](https://github.com/译者ID)
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://opensource.com/users/fatherlinux
[b]: https://github.com/lujun9972
[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/coffee_tea_laptop_computer_work_desk.png?itok=D5yMx_Dr (Person drinking a hat drink at the computer)
[2]: https://blog.openshift.com/kubernetes-on-metal-with-openshift/
[3]: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/
[4]: https://kubernetes.io/docs/concepts/architecture/controller/
[5]: https://kubernetes.io/docs/concepts/configuration/secret/
[6]: https://kubernetes.io/docs/tasks/configure-pod-container/configure-pod-configmap/
[7]: https://kubernetes.io/docs/concepts/containers/runtime-class/
[8]: https://gvisor.dev/
[9]: https://katacontainers.io/
[10]: https://developers.redhat.com/blog/2019/01/29/podman-kubernetes-yaml/
[11]: https://www.redhat.com/en/blog/rhel-81-minor-release-major-new-container-capabilities
[12]: https://developers.redhat.com/products/codeready-containers/overview

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[#]: collector: (lujun9972)
[#]: translator: (lxbwolf)
[#]: reviewer: ( )
[#]: publisher: ( )
[#]: url: ( )
[#]: subject: (5 predictions for Kubernetes in 2020)
[#]: via: (https://opensource.com/article/20/1/kubernetes-2020)
[#]: author: (Scott McCarty https://opensource.com/users/fatherlinux)
2020 年对 Kubernetes 的 5 项预测
======
请先回顾下 2019 年网站上最受欢迎的 Kubernetes 的文章。
![Person drinking a hat drink at the computer][1]
你怎么追踪一个广受欢迎的项目（如 Kubernetes）的发展轨迹？你怎么能了解它发展到什么程度了？如果你在为这个项目作贡献或加入了 SIG（Special Interest Group），可能你会在潜移默化中了解到它的发展轨迹，但如果你的全日工作不涉及到为 Kubernetes 作贡献，那么你可能需要一点关于未来的预测来帮助你了解。对于一个诸如 Kubernetes 的快速发展的项目，年末是回顾过去的一年和展望新的一年的最好时机。
今年，Kubernetes 取得了很大的进展。除了去查看源码、文档、会议笔记，你也可以去浏览博客。为了深入了解，我在 Opensource.com 上看了 Kubernetes 的 top 10 文章。通过这些文章，我们能了解开发者们更喜欢读和写哪些话题的文章。我们开始吧！
(2019 年末获取 Kubernetes 文章的 top 10。)
首先，我要指明这些文章中有 5 篇是关于 Kubernetes 工作负载的扩展以及它们可以运行在什么场景。这些工作负载涵盖数据科学、PostgreSQL、InfluxDB、Grafana（不仅仅监控集群本身）和 Edge。从历史角度看，Kubernetes 和容器都是在虚拟机上运行的，尤其是运行在由云提供的基础设施上时。抛开对于 Kubernetes 的兴趣因素，这也表明了终端用户们极度希望在裸机上安装 Kubernetes（参照[OpenShift 环境安装 Kubernetes][2]）。
其次，也有很多开发者希望了解操作相关的知识以及 Kubernetes 的最佳实践。从 [Kubernetes 操作][3] 到 [Kubernetes 控制器][4]，从 [Secrets][5] 到 [ConfigMaps][6]，开发者和运维人员都希望能找到简化部署和管理工作的最佳实践。我们经常纠结在怎么去修改配置文件或别人会怎么配置，而不去回头想想这些配置是怎么让应用部署运转的（不是怎么安装，也不是怎么运行 Kubernetes）。
最后，人们似乎对入门教程真的感兴趣。事实上，构建 Kubernetes 所需了解的信息太多了，以至于让人们望而却步，也使他们走了错误的路。流行度高的文章中有几篇讲述了为什么你需要了解用 Kubernetes 运行应用程序，而不仅仅是安装它。就是最佳实践类的文章一样，人们也通常不会回头分析在入门时他们应该在什么地方花费时间。我一直秉持的理念是，把有限的时间和金钱投入到如何使用某项技术上，而不是如何构建它。
### 2020 年对 Kubernetes 的 5 项预测
回顾下 2019 年的相关主题，这些主题告诉我们 2020 年将如何发展？结合这些文章中的观点，加上我自己的看法，我来分享下我对于 2020 年以及未来发展趋势的想法：
1. 工作负载扩展。我会关注高性能计算，AI/ML 以及使用 Operator 的有状态工作负载。
2. 更多的生产中的最佳实践，尤其是跟一些成熟的标准相关的，像 PCI，HIPAA，NIST 等等.
3. rootless 相关的更好的安全性和 [runtimes classes][7]（如 [gVisor][8]，[Kata Containers][9] 等等）更高的安全性。
4. 在部署和开发者们共享应用时，把 Kubernetes 清单的更好的规范标准作为部署的核心要素。如 [podman generate kube][10], [podman play kube][11], 还有多合一 Kubernetes 环境，如 [CodeReady Containers (CRC)][12]
5. 一个前所未有的网络、存储和专业硬件（如 GPU 等等）供应商的生态系统，为 Kubernetes 提供 BoB（译注：best of breed，单项最佳品牌）解决方案（在免费软件中，我们相信开放的生态系统好过垂直整合的解决方案）。
期待 Kubernetes 在新的一年里再创辉煌！
--------------------------------------------------------------------------------
via: https://opensource.com/article/20/1/kubernetes-2020
作者：[Scott McCarty][a]
选题：[lujun9972][b]
译者：[lxbwolf](https://github.com/lxbwolf)
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://opensource.com/users/fatherlinux
[b]: https://github.com/lujun9972
[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/coffee_tea_laptop_computer_work_desk.png?itok=D5yMx_Dr (Person drinking a hat drink at the computer)
[2]: https://blog.openshift.com/kubernetes-on-metal-with-openshift/
[3]: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/
[4]: https://kubernetes.io/docs/concepts/architecture/controller/
[5]: https://kubernetes.io/docs/concepts/configuration/secret/
[6]: https://kubernetes.io/docs/tasks/configure-pod-container/configure-pod-configmap/
[7]: https://kubernetes.io/docs/concepts/containers/runtime-class/
[8]: https://gvisor.dev/
[9]: https://katacontainers.io/
[10]: https://developers.redhat.com/blog/2019/01/29/podman-kubernetes-yaml/
[11]: https://www.redhat.com/en/blog/rhel-81-minor-release-major-new-container-capabilities
[12]: https://developers.redhat.com/products/codeready-containers/overview