跟读练习: Kubernetes Explained in 6 Minutes | k8s Architecture - 通过YouTube学习英语口语
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What is Kubernetes?
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What is Kubernetes?
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Why is it called KAS?
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What makes it so popular?
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Let's take a look.
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Kubernetes is an open source container orchestration platform.
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It automates the deployment, scaling,
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and management of containerized applications.
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Kubernetes can be traced back to Google's internal container orchestration system Borg,
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which managed the deployment of thousands of applications within Google.
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In 2014, Google open sourced a version of Borg that is Kubernetes.
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Now, why is it called KAS?
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This is a somewhat nerdy way of abbreviating long words.
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The number 8 in KAS refer to the eight letters between the first letter K
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and the last letter S in the word Kubernetes.
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Other examples are I18N for internationalization and L10N for localization.
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A Kubernetes cluster is a set of machines called nodes that are used to run containerized applications.
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There are two core pieces in a Kubernetes cluster.
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The first is the control plane.
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It is responsible for managing the state of the cluster.
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In production environments, the control plane usually runs on multiple nodes that span across several data center zones.
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The second is a set of worker nodes.
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These nodes run the containerized application workloads.
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The containerized applications run in a pod.
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Pods are the smallest deployable units in Kubernetes.
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Pod hosts one or more containers and provides shared storage and networking for those containers.
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Pods are created and managed by Kubernetes control plane.
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They are the basic building blocks of Kubernetes applications.
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Now let's dive a bit deeper into the control plane.
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It consists of a number of core components.
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They are the API server,
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SCD, scheduler, and the controller manager.
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The API server is the primary interface between the control plane and the rest of the cluster.
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It exposes a RESTful API that allows clients to interact with the control plane and submit requests to manage the cluster.
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SCD is a distributed key value store.
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It stores the cluster's persistent state.
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It is used by the API server and other components of the control plane to store and retrieve information about the cluster.
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The scheduler is responsible for scheduling pods onto the worker nodes in the cluster.
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It uses information about the resources required by the pods and the available resources on the worker nodes to make placement decisions.
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The controller manager is responsible for running controllers that manage the state of the cluster.
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Some examples include a replication controller,
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which ensures that the desired number of replicas of a pod are running,
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and the deployment controller, which manages the rolling updates and rollbacks of deployments.
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Next, let's dive deeper into the worker nodes.
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The core components of Kubernetes that run on the worker nodes include KubeNet,
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Container Runtime, and KubeProxy.
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The KubeNet is a daemon that runs on each worker node.
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It is responsible for communicating with the control plane.
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It receives instruction come from the control plane about
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which pods to run on the node and ensures that the desired state of the pods is maintained.
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The container runtime runs the containers on the worker nodes.
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It is responsible for pulling the container images from a registry,
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starting and stopping the containers,
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and managing the container's resources.
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The queue proxy is a networking proxy that runs on each worker node.
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It is responsible for routing traffic to the correct pods.
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It also provides load balancing for the pods and ensures that the traffic is distributed evenly across the pods.
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So when should we use Kubernetes?
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As with many things in software engineering,
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this is all about trade-offs.
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Let's look at the upsides first.
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Kubernetes is scalable and highly available.
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It provides features like self-healing,
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automatic rollbacks, and horizontal scaling.
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It makes it easy to scale our application up and down as needed,
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allowing us to respond to changes in demand quickly.
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Kubernetes is portable.
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It helps us deploy and manage applications in a consistent and reliable way,
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regardless of the underlying infrastructure.
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It runs on premise, in a public cloud,
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or in a hybrid environment.
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It provides a uniform way to package, deploy, and manage applications.
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Now, how about the downsides?
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The number one drawback is complexity.
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Kubernetes is complex to set up and operate.
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The upfront cost is high,
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especially for organizations new to container orchestration.
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It requires a high level of expertise and resources to set up and manage a production Kubernetes environment.
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The second drawback is cost.
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Kubernetes requires a certain minimum level of resources to run in order to support all the features we mentioned above.
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It's likely an overkill for many smaller organizations.
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One popular option that strikes a reasonable balance is to offload the management of the control plane to a managed Kubernetes service.
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Managed Kubernetes services are provided by cloud providers.
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Some popular ones are Amazon EKS,
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GKE on Google Cloud, and AKS on Azure.
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These services allow organizations to run Kubernetes applications without having to worry about the underlying infrastructure.
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They take care of tasks that require deep expertise by setting up and configuring the control plane,
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scaling the cluster, and providing ongoing maintenance and support.
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This is a reasonable option for a mid-sized organization to test out Kubernetes.
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For a smaller organization, Yagni is our recommendation.
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If you would like to learn more about system design,
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check out our books and weekly newsletter.
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Please subscribe if you learned something new.
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Thank you so much, and we'll see you next time.
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为什么要通过这个视频练习口语？
在学习英语时，口语表达是一个不可或缺的部分。通过观看“快速了解Kubernetes”的视频，学习者能够在轻松的环境中提高自己的口语能力。此视频简洁明了，涵盖了关于Kubernetes的重要概念，适合采用英语影子跟读的方式练习。英语影子跟读是一种有效的口语练习方法，通过模仿视频中的发音、语调和节奏，学习者可以增强自己的听力理解和口语流利度。同时，这种方法能够帮助学习者掌握专业术语，适用于希望在技术领域提高英语能力的人。
语法与表达在上下文中的应用
视频中使用了一些关键的语法结构和表达方式，适合学习者模仿和练习。
- 被动态：视频多次提到“Kubernetes被称为…”，这种句式强调了主语所受到的动作，有助于提升表达的正式感。
- 使用定语从句：例如，“Kubernetes是一个开源的容器编排平台”，通过定语从句可以让句子更加丰富。
- 动词不定式：短语“用于管理”和“负责调度”展示了如何灵活运用动词不定式，帮助学习者理解动作的目的。
常见发音误区
在观看此视频时，学习者可能会遇到一些难发的单词或重音。以下是需要特别注意的几个发音：
- Kubernetes (库伯内特斯)：这个词容易发错音，建议慢速跟读，注意每个音节的发音。
- Orchestration (编排)：这个词中的“or”音可能会造成误发，确保清晰发出每个音节。
- Applications (应用)：在快速交流中，部分学习者可能会吞音，需要反复练习以便流畅发音。
通过反复观看并进行shadow speak，学习者可以找出自己的发音问题并加以纠正，进一步提高口语能力。结合视频进行练习，可以让学习者在轻松的氛围中掌握看YouTube学英语的技巧，提升英语水平。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。