Merge pull request #27031 from ChandaniM123/merged-master-dev-1.21

Merge master into dev-1.21

Author: k8s-ci-robot

OWNERS_ALIASES

@@ -176,14 +176,20 @@ aliases:
     # zhangxiaoyu-zidif
   sig-docs-pt-owners: # Admins for Portuguese content
     - femrtnz
+    - jailton
     - jcjesus
     - devlware
     - jhonmike
+    - rikatz
+    - yagonobre
   sig-docs-pt-reviews: # PR reviews for Portugese content
     - femrtnz
+    - jailton
     - jcjesus
     - devlware
     - jhonmike
+    - rikatz
+    - yagonobre
   sig-docs-vi-owners: # Admins for Vietnamese content
     - huynguyennovem
     - ngtuna

config.toml

@@ -91,7 +91,7 @@ blog = "/:section/:year/:month/:day/:slug/"
 [outputs]
 home = [ "HTML", "RSS", "HEADERS" ]
 page = [ "HTML"]
-section = [ "HTML"]
+section = [ "HTML", "print" ]
 
 # Add a "text/netlify" media type for auto-generating the _headers file
 [mediaTypes]

content/en/blog/_posts/2018-08-03-make-kubernetes-production-grade-anywhere.md

@@ -176,7 +176,7 @@ Cluster-distributed stateful services (e.g., Cassandra) can benefit from splitti
 
 [Logs](/docs/concepts/cluster-administration/logging/) and [metrics](/docs/tasks/debug-application-cluster/resource-usage-monitoring/) (if collected and persistently retained) are valuable to diagnose outages, but given the variety of technologies available it will not be addressed in this blog. If Internet connectivity is available, it may be desirable to retain logs and metrics externally at a central location.
 
-Your production deployment should utilize an automated installation, configuration and update tool (e.g., [Ansible](https://github.com/kubernetes-incubator/kubespray), [BOSH](https://github.com/cloudfoundry-incubator/kubo-deployment), [Chef](https://github.com/chef-cookbooks/kubernetes), [Juju](/docs/getting-started-guides/ubuntu/installation/), [kubeadm](/docs/reference/setup-tools/kubeadm/kubeadm/), [Puppet](https://forge.puppet.com/puppetlabs/kubernetes), etc.). A manual process will have repeatability issues, be labor intensive, error prone, and difficult to scale. [Certified distributions](https://www.cncf.io/certification/software-conformance/#logos) are likely to include a facility for retaining configuration settings across updates, but if you implement your own install and config toolchain, then retention, backup and recovery of the configuration artifacts is essential. Consider keeping your deployment components and settings under a version control system such as Git.
+Your production deployment should utilize an automated installation, configuration and update tool (e.g., [Ansible](https://github.com/kubernetes-incubator/kubespray), [BOSH](https://github.com/cloudfoundry-incubator/kubo-deployment), [Chef](https://github.com/chef-cookbooks/kubernetes), [Juju](/docs/getting-started-guides/ubuntu/installation/), [kubeadm](/docs/reference/setup-tools/kubeadm/), [Puppet](https://forge.puppet.com/puppetlabs/kubernetes), etc.). A manual process will have repeatability issues, be labor intensive, error prone, and difficult to scale. [Certified distributions](https://www.cncf.io/certification/software-conformance/#logos) are likely to include a facility for retaining configuration settings across updates, but if you implement your own install and config toolchain, then retention, backup and recovery of the configuration artifacts is essential. Consider keeping your deployment components and settings under a version control system such as Git.
 
 ## Outage recovery
 

content/en/blog/_posts/2018-12-03-kubernetes-1-13-release-announcement.md

@@ -17,7 +17,7 @@ Let’s dive into the key features of this release:
 
 ## Simplified Kubernetes Cluster Management with kubeadm in GA
 
-Most people who have gotten hands-on with Kubernetes have at some point been hands-on with kubeadm. It's an essential tool for managing the cluster lifecycle, from creation to configuration to upgrade; and now kubeadm is officially GA. [kubeadm](/docs/reference/setup-tools/kubeadm/kubeadm/) handles the bootstrapping of production clusters on existing hardware and configuring the core Kubernetes components in a best-practice-manner to providing a secure yet easy joining flow for new nodes and supporting easy upgrades. What’s notable about this GA release are the now graduated advanced features, specifically around pluggability and configurability. The scope of kubeadm is to be a toolbox for both admins and automated, higher-level system and this release is a significant step in that direction.
+Most people who have gotten hands-on with Kubernetes have at some point been hands-on with kubeadm. It's an essential tool for managing the cluster lifecycle, from creation to configuration to upgrade; and now kubeadm is officially GA. [kubeadm](/docs/reference/setup-tools/kubeadm/) handles the bootstrapping of production clusters on existing hardware and configuring the core Kubernetes components in a best-practice-manner to providing a secure yet easy joining flow for new nodes and supporting easy upgrades. What’s notable about this GA release are the now graduated advanced features, specifically around pluggability and configurability. The scope of kubeadm is to be a toolbox for both admins and automated, higher-level system and this release is a significant step in that direction.
 
 ## Container Storage Interface (CSI) Goes GA
 

content/en/blog/_posts/2021-03-09-The-Evolution-of-Kubernetes-Dashboard/along-the-way-ui.png

@@ -0,0 +1,63 @@
+---
+layout: blog
+title: "The Evolution of Kubernetes Dashboard"
+date: 2021-03-09
+slug: the-evolution-of-kubernetes-dashboard
+---
+
+Authors: Marcin Maciaszczyk, Kubermatic & Sebastian Florek, Kubermatic
+
+In October 2020, the Kubernetes Dashboard officially turned five. As main project maintainers, we can barely believe that so much time has passed since our very first commits to the project. However, looking back with a bit of nostalgia, we realize that quite a lot has happened since then. Now it’s due time to celebrate “our baby” with a short recap.
+
+## How It All Began
+
+The initial idea behind the Kubernetes Dashboard project was to provide a web interface for Kubernetes. We wanted to reflect the kubectl functionality through an intuitive web UI. The main benefit from using the UI is to be able to quickly see things that do not work as expected (monitoring and troubleshooting). Also, the Kubernetes Dashboard is a great starting point for users that are new to the Kubernetes ecosystem.
+
+The very [first commit](https://github.com/kubernetes/dashboard/commit/5861187fa807ac1cc2d9b2ac786afeced065076c) to the Kubernetes Dashboard was made by Filip Grządkowski from Google on 16th October 2015 – just a few months from the initial commit to the Kubernetes repository. Our initial commits go back to November 2015 ([Sebastian committed on 16 November 2015](https://github.com/kubernetes/dashboard/commit/09e65b6bb08c49b926253de3621a73da05e400fd); [Marcin committed on 23 November 2015](https://github.com/kubernetes/dashboard/commit/1da4b1c25ef040818072c734f71333f9b4733f55)). Since that time, we’ve become regular contributors to the project. For the next two years, we worked closely with the Googlers, eventually becoming main project maintainers ourselves.
+
+{{< figure src="first-ui.png" caption="The First Version of the User Interface" >}}
+
+{{< figure src="along-the-way-ui.png" caption="Prototype of the New User Interface" >}}
+
+{{< figure src="current-ui.png" caption="The Current User Interface" >}}
+
+As you can see, the initial look and feel of the project were completely different from the current one. We have changed the design multiple times. The same has happened with the code itself.
+
+## Growing Up - The Big Migration
+
+At [the beginning of 2018](https://github.com/kubernetes/dashboard/pull/2727), we reached a point where AngularJS was getting closer to the end of its life, while the new Angular versions were published quite often. A lot of the libraries and the modules that we were using were following the trend. That forced us to spend a lot of the time rewriting the frontend part of the project to make it work with newer technologies.
+
+The migration came with many benefits like being able to refactor a lot of the code, introduce design patterns, reduce code complexity, and benefit from the new modules. However, you can imagine that the scale of the migration was huge. Luckily, there were a number of contributions from the community helping us with the resource support, new Kubernetes version support, i18n, and much more. After many long days and nights, we finally released the [first beta version](https://github.com/kubernetes/dashboard/releases/tag/v2.0.0-beta1) in July 2019, followed by the [2.0 release](https://github.com/kubernetes/dashboard/releases/tag/v2.0.0) in April 2020 — our baby had grown up.
+
+## Where Are We Standing in 2021?
+
+Due to limited resources, unfortunately, we were not able to offer extensive support for many different Kubernetes versions. So, we’ve decided to always try and support the latest Kubernetes version available at the time of the Kubernetes Dashboard release. The latest release, [Dashboard v2.2.0](https://github.com/kubernetes/dashboard/releases/tag/v2.2.0) provides support for Kubernetes v1.20.
+
+On top of that, we put in a great deal of effort into [improving resource support](https://github.com/kubernetes/dashboard/issues/5232). Meanwhile, we do offer support for most of the Kubernetes resources. Also, the Kubernetes Dashboard supports multiple languages: English, German, French, Japanese, Korean, Chinese (Traditional, Simplified, Traditional Hong Kong). Persian and Russian localizations are currently in progress. Moreover, we are working on the support for 3rd party themes and the design of the app in general. As you can see, quite a lot of things are going on.
+
+Luckily, we do have regular contributors with domain knowledge who are taking care of the project, updating the Helm charts, translations, Go modules, and more. But as always, there could be many more hands on deck. So if you are thinking about contributing to Kubernetes, keep us in mind ;)
+
+## What’s Next
+
+The Kubernetes Dashboard has been growing and prospering for more than 5 years now. It provides the community with an intuitive Web UI, thereby decreasing the complexity of Kubernetes and increasing its accessibility to new community members. We are proud of what the project has achieved so far, but this is by far not the end. These are our priorities for the future:
+
+*   Keep providing support for the new Kubernetes versions
+*   Keep improving the support for the existing resources
+*   Keep working on auth system improvements
+*   [Rewrite the API to use gRPC and shared informers](https://github.com/kubernetes/dashboard/pull/5449): This will allow us to improve the performance of the application but, most importantly, to support live updates coming from the Kubernetes project. It is one of the most requested features from the community.
+*   Split the application into two containers, one with the UI and the second with the API running inside.
+
+## The Kubernetes Dashboard in Numbers
+
+* Initial commit made on October 16, 2015
+* Over 100 million pulls from Dockerhub since the v2 release
+* 8 supported languages and the next 2 in progress
+* Over 3360 closed PRs
+* Over 2260 closed issues
+* 100% coverage of the supported core Kubernetes resources
+* Over 9000 stars on GitHub
+* Over 237 000 lines of code
+
+## Join Us
+
+As mentioned earlier, we are currently looking for more people to help us further develop and grow the project. We are open to contributions in multiple areas, i.e., [issues with help wanted label](https://github.com/kubernetes/dashboard/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22). Please feel free to reach out via GitHub or the #sig-ui channel in the [Kubernetes Slack](https://slack.k8s.io/).

content/en/blog/_posts/2021-03-09-The-Evolution-of-Kubernetes-Dashboard/current-ui.png

@@ -81,9 +81,9 @@ The [imagePullPolicy](/docs/concepts/containers/images/#updating-images) and the
 
 - `imagePullPolicy: Always`: every time the kubelet launches a container, the kubelet queries the container image registry to resolve the name to an image digest. If the kubelet has a container image with that exact digest cached locally, the kubelet uses its cached image; otherwise, the kubelet downloads (pulls) the image with the resolved digest, and uses that image to launch the container.
 
-- `imagePullPolicy` is omitted and either the image tag is `:latest` or it is omitted: `Always` is applied.
+- `imagePullPolicy` is omitted and either the image tag is `:latest` or it is omitted: `imagePullPolicy` is automatically set to `Always`. Note that this will _not_ be updated to `IfNotPresent` if the tag changes value.
 
-- `imagePullPolicy` is omitted and the image tag is present but not `:latest`: `IfNotPresent` is applied.
+- `imagePullPolicy` is omitted and the image tag is present but not `:latest`: `imagePullPolicy` is automatically set to `IfNotPresent`. Note that this will _not_ be updated to `Always` if the tag is later removed or changed to `:latest`.
 
 - `imagePullPolicy: Never`: the image is assumed to exist locally. No attempt is made to pull the image.
 
@@ -96,7 +96,7 @@ You should avoid using the `:latest` tag when deploying containers in production
 {{< /note >}}
 
 {{< note >}}
-The caching semantics of the underlying image provider make even `imagePullPolicy: Always` efficient. With Docker, for example, if the image already exists, the pull attempt is fast because all image layers are cached and no image download is needed.
+The caching semantics of the underlying image provider make even `imagePullPolicy: Always` efficient, as long as the registry is reliably accessible. With Docker, for example, if the image already exists, the pull attempt is fast because all image layers are cached and no image download is needed.
 {{< /note >}}
 
 ## Using kubectl

content/en/blog/_posts/2021-03-09-The-Evolution-of-Kubernetes-Dashboard/first-ui.png

@@ -49,16 +49,32 @@ Instead, specify a meaningful tag such as `v1.42.0`.
 
 ## Updating images
 
-The default pull policy is `IfNotPresent` which causes the
-{{< glossary_tooltip text="kubelet" term_id="kubelet" >}} to skip
-pulling an image if it already exists. If you would like to always force a pull,
-you can do one of the following:
+When you first create a {{< glossary_tooltip text="Deployment" term_id="deployment" >}},
+{{< glossary_tooltip text="StatefulSet" term_id="statefulset" >}}, Pod, or other
+object that includes a Pod template, then by default the pull policy of all
+containers in that pod will be set to `IfNotPresent` if it is not explicitly
+specified. This policy causes the
+{{< glossary_tooltip text="kubelet" term_id="kubelet" >}} to skip pulling an
+image if it already exists.
+
+If you would like to always force a pull, you can do one of the following:
 
 - set the `imagePullPolicy` of the container to `Always`.
-- omit the `imagePullPolicy` and use `:latest` as the tag for the image to use.
+- omit the `imagePullPolicy` and use `:latest` as the tag for the image to use;
+  Kubernetes will set the policy to `Always`.
 - omit the `imagePullPolicy` and the tag for the image to use.
 - enable the [AlwaysPullImages](/docs/reference/access-authn-authz/admission-controllers/#alwayspullimages) admission controller.
 
+{{< note >}}
+The value of `imagePullPolicy` of the container is always set when the object is
+first _created_, and is not updated if the image's tag later changes.
+
+For example, if you create a Deployment with an image whose tag is _not_
+`:latest`, and later update that Deployment's image to a `:latest` tag, the
+`imagePullPolicy` field will _not_ change to `Always`. You must manually change
+the pull policy of any object after its initial creation.
+{{< /note >}}
+
 When `imagePullPolicy` is defined without a specific value, it is also set to `Always`.
 
 ## Multi-architecture images with image indexes