跟讀練習: Kubernetes Explained in 6 Minutes | k8s Architecture - 通過影片學習英語口語
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93 句
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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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為什麼要通過這個影片練習口語？
在學習英語時，口語表達是一個不可或缺的部分。通過觀看“快速瞭解Kubernetes”的影片，學習者能夠在輕鬆的環境中提高自己的口語能力。此影片簡潔明瞭，涵蓋了關於Kubernetes的重要概念，適合採用英語影子跟讀的方式練習。英語影子跟讀是一種有效的口語練習方法，通過模仿影片中的發音、語調和節奏，學習者可以增強自己的聽力理解和口語流利度。同時，這種方法能夠幫助學習者掌握專業術語，適用於希望在技術領域提高英語能力的人。
語法與表達在上下文中的應用
影片中使用了一些關鍵的語法結構和表達方式，適合學習者模仿和練習。
- 被動態：影片多次提到“Kubernetes被稱為…”，這種句式強調了主語所受到的動作，有助於提升表達的正式感。
- 使用定語從句：例如，“Kubernetes是一個開源的容器編排平臺”，通過定語從句可以讓句子更加豐富。
- 動詞不定式：短語“用於管理”和“負責排程”展示瞭如何靈活運用動詞不定式，幫助學習者理解動作的目的。
常見發音誤區
在觀看此影片時，學習者可能會遇到一些難發的單詞或重音。以下是需要特別注意的幾個發音：
- Kubernetes (庫伯內特斯)：這個詞容易發錯音，建議慢速跟讀，注意每個音節的發音。
- Orchestration (編排)：這個詞中的“or”音可能會造成誤發，確保清晰發出每個音節。
- Applications (應用)：在快速交流中，部分學習者可能會吞音，需要反覆練習以便流暢發音。
通過反覆觀看並進行shadow speak，學習者可以找出自己的發音問題並加以糾正，進一步提高口語能力。結合影片進行練習，可以讓學習者在輕鬆的氛圍中掌握看YouTube學英語的技巧，提升英語水平。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。