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Merge pull request #46627 from dipesh-rawat/blog-post-2017-add-author
Update 2017 blog content files to move author details in front-matter
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content/en/blog/_posts/2017-01-00-Fission-Serverless-Functions-As-Service-For-Kubernetes.md

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date: 2017-01-30
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slug: fission-serverless-functions-as-service-for-kubernetes
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url: /blog/2017/01/Fission-Serverless-Functions-As-Service-For-Kubernetes
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author: >
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Soam Vasani (Platform9 Systems)
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---
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_Editor's note: Today’s post is by Soam Vasani, Software Engineer at Platform9 Systems, talking about a new open source Serverless Function (FaaS) framework for Kubernetes._ 
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[Fission](https://github.com/fission/fission) is a Functions as a Service (FaaS) / Serverless function framework built on Kubernetes.
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Fission allows you to easily create HTTP services on Kubernetes from functions. It works at the source level and abstracts away container images (in most cases). It also simplifies the Kubernetes learning curve, by enabling you to make useful services without knowing much about Kubernetes.
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- Connect with the community on [Slack](http://slack.k8s.io/)
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- Follow us on Twitter [@Kubernetesio](https://twitter.com/kubernetesio) for latest updates
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_--Soam Vasani, Software Engineer, Platform9 Systems_

content/en/blog/_posts/2017-01-00-How-We-Run-Kubernetes-In-Kubernetes-Kubeception.md

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date: 2017-01-20
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slug: how-we-run-kubernetes-in-kubernetes-kubeception
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url: /blog/2017/01/How-We-Run-Kubernetes-In-Kubernetes-Kubeception
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author: >
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Hector Fernandez (Giant Swarm)
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Puja Abbassi (Giant Swarm)
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---
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_Editor's note: Today’s post is by the team at Giant Swarm, showing how they run Kubernetes in Kubernetes._
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[Giant Swarm](https://giantswarm.io/)’s container infrastructure started out with the goal to be an easy way for developers to deploy containerized microservices. Our first generation was extensively using [fleet](https://github.com/coreos/fleet) as a base layer for our infrastructure components as well as for scheduling user containers.
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In order to give our users a more powerful way to manage their containers we introduced Kubernetes into our stack in early 2016. However, as we needed a quick way to flexibly spin up and manage different users’ Kubernetes clusters resiliently we kept the underlying fleet layer.
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Most importantly, we are working on making the inner Kubernetes clusters a third party resource that can then be managed by a custom controller. The result would be much like the [Operator concept by CoreOS](https://coreos.com/blog/introducing-operators.html). And to ensure that the community at large can benefit from this project we will be open sourcing this in the near future.
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_-- Hector Fernandez, Software Engineer & Puja Abbassi, Developer Advocate, Giant Swarm_

content/en/blog/_posts/2017-01-00-Kubernetes-Ux-Survey-Infographic.md

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date: 2017-01-09
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slug: kubernetes-ux-survey-infographic
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url: /blog/2017/01/Kubernetes-Ux-Survey-Infographic
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Dan Romlein (UX Designer)
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_Editor's note: Today’s post is by Dan Romlein, UX Designer at Apprenda and member of the SIG-UI, sharing UX survey results from the Kubernetes community. _
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The following infographic summarizes the findings of a survey that the team behind [Dashboard](https://github.com/kubernetes/dashboard), the official web UI for Kubernetes, sent during KubeCon in November 2016. Following the KubeCon launch of the survey, it was promoted on Twitter and various Slack channels over a two week period and generated over 100 responses. We’re delighted with the data it provides us to now make feature and roadmap decisions more in-line with the needs of you, our users.
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**Satisfaction with Dashboard**

content/en/blog/_posts/2017-01-00-Running-Mongodb-On-Kubernetes-With-Statefulsets.md

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date: 2017-01-30
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slug: running-mongodb-on-kubernetes-with-statefulsets
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url: /blog/2017/01/Running-Mongodb-On-Kubernetes-With-Statefulsets
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Sandeep Dinesh (Google Cloud Platform)
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_Editor's note: Today’s post is by Sandeep Dinesh, Developer Advocate, Google Cloud Platform, showing how to run a database in a container._
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{{% warning %}}
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This post is several years old. The code examples need changes to work on a current Kubernetes cluster.
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For more cool Kubernetes and Container blog posts, follow me on [Twitter](https://twitter.com/sandeepdinesh) and [Medium](https://medium.com/@SandeepDinesh).
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_--Sandeep Dinesh, Developer Advocate, Google Cloud Platform._

content/en/blog/_posts/2017-01-00-Scaling-Kubernetes-Deployments-With-Policy-Base-Networking.md

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date: 2017-01-19
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slug: scaling-kubernetes-deployments-with-policy-base-networking
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url: /blog/2017/01/Scaling-Kubernetes-Deployments-With-Policy-Base-Networking
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Harmeet Sahni (Nuage Networks)
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_Editor's note: Today’s post is by Harmeet Sahni, Director of Product Management, at Nuage Networks, writing about their contributions to Kubernetes and insights on policy-based networking.  _
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Although it’s just been eighteen-months since Kubernetes 1.0 was released, we’ve seen Kubernetes emerge as the leading container orchestration platform for deploying distributed applications. One of the biggest reasons for this is the vibrant open source community that has developed around it. The large number of Kubernetes contributors come from diverse backgrounds means we, and the community of users, are assured that we are investing in an open platform. Companies like Google (Container Engine), Red Hat (OpenShift), and CoreOS (Tectonic) are developing their own commercial offerings based on Kubernetes. This is a good thing since it will lead to more standardization and offer choice to the users. 
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**Networking requirements for Kubernetes applications**
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Even though we started working on our integration with Kubernetes over a year ago, it feels we are just getting started. We have always felt that this is a truly open community and we want to be an integral part of it. You can find out more about our Kubernetes integration on our [GitHub page](https://github.com/nuagenetworks/nuage-kubernetes).
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_--Harmeet Sahni, Director of Product Management, Nuage Networks_

content/en/blog/_posts/2017-01-00-Stronger-Foundation-For-Creating-And-Managing-Kubernetes-Clusters.md

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slug: stronger-foundation-for-creating-and-managing-kubernetes-clusters
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url: /blog/2017/01/Stronger-Foundation-For-Creating-And-Managing-Kubernetes-Clusters
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[Lucas Käldström](https://twitter.com/kubernetesonarm) (independent)
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_Editor's note: Today’s post is by Lucas Käldström an independent Kubernetes maintainer and SIG-Cluster-Lifecycle member, sharing what the group has been building and what’s upcoming. _
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Last time you heard from us was in September, when we announced [kubeadm](https://kubernetes.io/blog/2016/09/how-we-made-kubernetes-easy-to-install). The work on making kubeadm a first-class citizen in the Kubernetes ecosystem has continued and evolved. Some of us also met before KubeCon and had a very productive meeting where we talked about what the scopes for our SIG, kubeadm, and kops are. 
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**Continuing to Define SIG-Cluster-Lifecycle**
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Thank you for all the feedback and contributions. I hope this has given you some insight in what we’re doing and encouraged you to join us at our meetings to say hi!
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_-- [Lucas Käldström](https://twitter.com/kubernetesonarm), Independent Kubernetes maintainer and SIG-Cluster-Lifecycle member_

content/en/blog/_posts/2017-02-00-Caas-The-Foundation-For-Next-Gen-Paas.md

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[Brendan Burns](https://twitter.com/brendandburns) (Microsoft)
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_Today’s post is by Brendan Burns, Partner Architect, at Microsoft & Kubernetes co-founder._
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Containers are revolutionizing the way that people build, package and deploy software. But what is often overlooked is how they are revolutionizing the way that people build the software that builds, packages and deploys software. (it’s ok if you have to read that sentence twice…) Today, and in a talk at [Container World](https://tmt.knect365.com/container-world/) tomorrow, I’m taking a look at how container orchestrators like Kubernetes form the foundation for next generation platform as a service (PaaS). In particular, I’m interested in how cloud container as a service (CaaS) platforms like [Azure Container Service](https://azure.microsoft.com/en-us/services/container-service/), [Google Container Engine](https://cloud.google.com/container-engine/) and [others](/docs/getting-started-guides/#hosted-solutions) are becoming the new infrastructure layer that PaaS is built upon.
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To see this, it’s important to consider the set of services that have traditionally been provided by PaaS platforms:
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_--[Brendan Burns](https://twitter.com/brendandburns), Partner Architect, at Microsoft and co-founder of Kubernetes_
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- Get involved with the Kubernetes project on [GitHub](https://github.com/kubernetes/kubernetes)
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- Post questions (or answer questions) on [Stack Overflow](http://stackoverflow.com/questions/tagged/kubernetes)
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- [Download](http://get.k8s.io/) Kubernetes

content/en/blog/_posts/2017-02-00-Highly-Available-Kubernetes-Clusters.md

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Jerzy Szczepkowski (Google)
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Today’s post shows how to set-up a reliable, highly available distributed Kubernetes cluster. The support for running such clusters on Google Compute Engine (GCE) was added as an alpha feature in [Kubernetes 1.5 release](https://kubernetes.io/blog/2016/12/kubernetes-1-5-supporting-production-workloads/).
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- Connect with the community on [Slack](http://slack.k8s.io/)
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- Follow us on Twitter [@Kubernetesio](https://twitter.com/kubernetesio) for latest updates
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_--Jerzy Szczepkowski, Software Engineer, Google_

content/en/blog/_posts/2017-02-00-Postgresql-Clusters-Kubernetes-Statefulsets.md

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Jeff McCormick ([Crunchy Data](http://crunchydata.com/))
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_Editor’s note: Today’s guest post is by Jeff McCormick, a developer at Crunchy Data, showing how to build a PostgreSQL cluster using the new Kubernetes StatefulSet feature._
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StatefulSets is an exciting feature added to Kubernetes for container builders that are implementing clustering. The ordinal values assigned to the set provide a very simple mechanism to make clustering decisions when deploying a PostgreSQL cluster.
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_--Jeff McCormick, Developer, [Crunchy Data](http://crunchydata.com/)_

content/en/blog/_posts/2017-02-00-Run-Deep-Learning-With-Paddlepaddle-On-Kubernetes.md

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Yi Wang ([Baidu Research](http://research.baidu.com/)),
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Xiang Li ([CoreOS](https://coreos.com/))
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_Editor's note: Today's post is a joint post from the deep learning team at Baidu and the etcd team at CoreOS._
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**[![](https://3.bp.blogspot.com/-Mwn3FU9hffI/WJk8QBxA6SI/AAAAAAAAA8w/AS5QoMdPTN8bL9jnixlsCXzj1IfYerhRQCLcB/s200/baidu_research_logo_rgb.png)](https://3.bp.blogspot.com/-Mwn3FU9hffI/WJk8QBxA6SI/AAAAAAAAA8w/AS5QoMdPTN8bL9jnixlsCXzj1IfYerhRQCLcB/s1600/baidu_research_logo_rgb.png)**
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PaddlePaddle trainers can utilize multiple GPUs to accelerate computations. GPU is not a first class resource in Kubernetes yet. We have to manage GPUs semi-manually. We would love to work with Kubernetes community to improve GPU support to ensure PaddlePaddle runs the best on Kubernetes.
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_--Yi Wang, [Baidu Research](http://research.baidu.com/) and Xiang Li, [CoreOS](https://coreos.com/)_
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- [Download](http://get.k8s.io/) Kubernetes
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- Get involved with the Kubernetes project on [GitHub](https://github.com/kubernetes/kubernetes)

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