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Merge pull request #47674 from sftim/20240825_revise_k8s_overview
Reorder content in Kubernetes overview section
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content/en/docs/concepts/overview/_index.md

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@@ -32,65 +32,6 @@ Kubernetes project in 2014. Kubernetes combines
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[over 15 years of Google's experience](/blog/2015/04/borg-predecessor-to-kubernetes/) running
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production workloads at scale with best-of-breed ideas and practices from the community.
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## Going back in time
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Let's take a look at why Kubernetes is so useful by going back in time.
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![Deployment evolution](/images/docs/Container_Evolution.svg)
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**Traditional deployment era:**
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Early on, organizations ran applications on physical servers. There was no way to define
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resource boundaries for applications in a physical server, and this caused resource
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allocation issues. For example, if multiple applications run on a physical server, there
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can be instances where one application would take up most of the resources, and as a result,
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the other applications would underperform. A solution for this would be to run each application
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on a different physical server. But this did not scale as resources were underutilized, and it
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was expensive for organizations to maintain many physical servers.
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**Virtualized deployment era:** As a solution, virtualization was introduced. It allows you
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to run multiple Virtual Machines (VMs) on a single physical server's CPU. Virtualization
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allows applications to be isolated between VMs and provides a level of security as the
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information of one application cannot be freely accessed by another application.
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Virtualization allows better utilization of resources in a physical server and allows
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better scalability because an application can be added or updated easily, reduces
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hardware costs, and much more. With virtualization you can present a set of physical
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resources as a cluster of disposable virtual machines.
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Each VM is a full machine running all the components, including its own operating
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system, on top of the virtualized hardware.
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**Container deployment era:** Containers are similar to VMs, but they have relaxed
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isolation properties to share the Operating System (OS) among the applications.
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Therefore, containers are considered lightweight. Similar to a VM, a container
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has its own filesystem, share of CPU, memory, process space, and more. As they
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are decoupled from the underlying infrastructure, they are portable across clouds
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and OS distributions.
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Containers have become popular because they provide extra benefits, such as:
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* Agile application creation and deployment: increased ease and efficiency of
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container image creation compared to VM image use.
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* Continuous development, integration, and deployment: provides for reliable
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and frequent container image build and deployment with quick and efficient
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rollbacks (due to image immutability).
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* Dev and Ops separation of concerns: create application container images at
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build/release time rather than deployment time, thereby decoupling
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applications from infrastructure.
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* Observability: not only surfaces OS-level information and metrics, but also
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application health and other signals.
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* Environmental consistency across development, testing, and production: runs
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the same on a laptop as it does in the cloud.
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* Cloud and OS distribution portability: runs on Ubuntu, RHEL, CoreOS, on-premises,
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on major public clouds, and anywhere else.
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* Application-centric management: raises the level of abstraction from running an
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OS on virtual hardware to running an application on an OS using logical resources.
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* Loosely coupled, distributed, elastic, liberated micro-services: applications are
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broken into smaller, independent pieces and can be deployed and managed dynamically –
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not a monolithic stack running on one big single-purpose machine.
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* Resource isolation: predictable application performance.
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* Resource utilization: high efficiency and density.
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## Why you need Kubernetes and what it can do {#why-you-need-kubernetes-and-what-can-it-do}
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Containers are a good way to bundle and run your applications. In a production
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It shouldn't matter how you get from A to C. Centralized control is also not required. This
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results in a system that is easier to use and more powerful, robust, resilient, and extensible.
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## Historical context for Kubernetes {#going-back-in-time}
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Let's take a look at why Kubernetes is so useful by going back in time.
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![Deployment evolution](/images/docs/Container_Evolution.svg)
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**Traditional deployment era:**
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Early on, organizations ran applications on physical servers. There was no way to define
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resource boundaries for applications in a physical server, and this caused resource
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allocation issues. For example, if multiple applications run on a physical server, there
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can be instances where one application would take up most of the resources, and as a result,
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the other applications would underperform. A solution for this would be to run each application
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on a different physical server. But this did not scale as resources were underutilized, and it
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was expensive for organizations to maintain many physical servers.
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**Virtualized deployment era:**
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As a solution, virtualization was introduced. It allows you
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to run multiple Virtual Machines (VMs) on a single physical server's CPU. Virtualization
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allows applications to be isolated between VMs and provides a level of security as the
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information of one application cannot be freely accessed by another application.
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Virtualization allows better utilization of resources in a physical server and allows
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better scalability because an application can be added or updated easily, reduces
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hardware costs, and much more. With virtualization you can present a set of physical
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resources as a cluster of disposable virtual machines.
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Each VM is a full machine running all the components, including its own operating
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system, on top of the virtualized hardware.
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**Container deployment era:**
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Containers are similar to VMs, but they have relaxed
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isolation properties to share the Operating System (OS) among the applications.
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Therefore, containers are considered lightweight. Similar to a VM, a container
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has its own filesystem, share of CPU, memory, process space, and more. As they
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are decoupled from the underlying infrastructure, they are portable across clouds
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and OS distributions.
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Containers have become popular because they provide extra benefits, such as:
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* Agile application creation and deployment: increased ease and efficiency of
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container image creation compared to VM image use.
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* Continuous development, integration, and deployment: provides for reliable
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and frequent container image build and deployment with quick and efficient
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rollbacks (due to image immutability).
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* Dev and Ops separation of concerns: create application container images at
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build/release time rather than deployment time, thereby decoupling
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applications from infrastructure.
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* Observability: not only surfaces OS-level information and metrics, but also
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application health and other signals.
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* Environmental consistency across development, testing, and production: runs
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the same on a laptop as it does in the cloud.
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* Cloud and OS distribution portability: runs on Ubuntu, RHEL, CoreOS, on-premises,
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on major public clouds, and anywhere else.
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* Application-centric management: raises the level of abstraction from running an
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OS on virtual hardware to running an application on an OS using logical resources.
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* Loosely coupled, distributed, elastic, liberated micro-services: applications are
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broken into smaller, independent pieces and can be deployed and managed dynamically –
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not a monolithic stack running on one big single-purpose machine.
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* Resource isolation: predictable application performance.
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* Resource utilization: high efficiency and density.
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## {{% heading "whatsnext" %}}
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* Take a look at the [Kubernetes Components](/docs/concepts/overview/components/)

content/en/docs/concepts/overview/components.md

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content_type: concept
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description: >
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An overview of the key components that make up a Kubernetes cluster.
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weight: 30
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card:
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weight: 10
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card:
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title: Components of a cluster
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name: concepts
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weight: 20

content/en/docs/concepts/overview/working-with-objects/_index.md

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---
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title: Objects In Kubernetes
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content_type: concept
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weight: 10
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weight: 30
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description: >
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Kubernetes objects are persistent entities in the Kubernetes system.
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Kubernetes uses these entities to represent the state of your cluster.

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