Spring Boot 4 Complete Guide · 课时

Kubernetes 编排基础

了解如何在 Kubernetes 集群上部署和管理 Spring Boot 应用。

第 1 / 4 课12 个步骤

Kubernetes 编排基础 是 CoddyKit 上的免费 Spring Boot 4 Complete Guide 课时。 这是第 1 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Spring Boot 4 Complete Guide 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Spring Boot 4 Complete Guide 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

Intro to Kubernetes (K8s)

Welcome to Kubernetes basics! Kubernetes (often called K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.

Think of it as an operating system for your cloud. It helps you run your applications reliably, even when traffic spikes or servers fail.

Why K8s for Spring Boot?

For Spring Boot applications, Kubernetes offers huge advantages:

  • Automated Scaling: Easily scale your app up or down based on demand.
  • Self-Healing: K8s restarts failed containers and replaces unresponsive ones.
  • Service Discovery: Helps your microservices find each other.
  • Load Balancing: Distributes network traffic to ensure stability.

K8s Cluster: Control & Nodes

A Kubernetes cluster consists of at least one Control Plane (formerly Master) and one or more Nodes (Worker Machines).

  • Control Plane: The "brain" of K8s. It manages the cluster, schedules applications, and maintains the desired state.
  • Nodes: Where your applications (containers) actually run. Each node has components like a container runtime (e.g., Docker) and a Kubelet agent.

Pods: Your App's Home

A Pod is the smallest, most basic deployable unit in Kubernetes. It represents a single instance of a running process in your cluster.

A Pod typically contains one or more tightly coupled containers (like your Spring Boot app and a sidecar logging agent). All containers in a Pod share the same network namespace and storage.

Deployments: Managing Pods

While Pods are fundamental, you don't usually create them directly. Instead, you use a Deployment.

A Deployment manages a set of identical Pods. It ensures you always have a specified number of Pod replicas running, handles rolling updates, and allows easy scaling of your application.

Services: Exposing Your App

How do users or other applications access your Pods? With a Service!

A Service defines a logical set of Pods and a policy by which to access them. It provides a stable IP address and DNS name, even if the underlying Pods change or scale. Services can also act as load balancers.

`kubectl`: K8s Command Tool

You interact with your Kubernetes cluster using the kubectl command-line tool.

It allows you to run commands against Kubernetes clusters, like deploying applications, inspecting cluster resources, and viewing logs. It's your primary interface to K8s.

kubectl get pods
kubeclt get services
kubeclt apply -f my-app.yaml

Creating a Basic Deployment

Let's define a simple Deployment for a 'hello-world' type application using YAML. This tells Kubernetes to run 2 replicas of our image.

Save this as hello-deployment.yaml:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: hello-app
spec:
  replicas: 2
  selector:
    matchLabels:
      app: hello-app
  template:
    metadata:
      labels:
        app: hello-app
    spec:
      containers:
      - name: hello-container
        image: k8s.gcr.io/echoserver:1.4
        ports:
        - containerPort: 8080

Applying Your Deployment

Now, let's apply this definition to our Kubernetes cluster using kubectl. After applying, we can check the status of our Pods.

kubectl apply -f hello-deployment.yaml
kubeclt get deployments
kubeclt get pods --selector app=hello-app

Exposing with a Service

Our Pods are running, but not accessible externally. Let's create a Service to expose our hello-app Deployment. This will create a load balancer to route traffic.

Save this as hello-service.yaml and apply it:

apiVersion: v1
kind: Service
metadata:
  name: hello-service
spec:
  selector:
    app: hello-app
  ports:
    - protocol: TCP
      port: 80
      targetPort: 8080
  type: LoadBalancer

Quick Check on K8s Basics

Which of the following Kubernetes components is responsible for managing a set of identical Pods, handling scaling, and rolling updates?

Recap: K8s Basics

Great job! In this lesson, you learned the fundamental concepts of Kubernetes:

  • What K8s is and why it's useful.
  • The core architecture: Control Plane and Nodes.
  • Key resources: Pods, Deployments, and Services.
  • How to use kubectl to deploy and manage a basic application.

Next, you'll explore advanced topics like distributed tracing and resilience patterns!

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常见问题解答

「Kubernetes 编排基础」课时是免费的吗?

是的 — 「Kubernetes 编排基础」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Spring Boot 4 Complete Guide 课程的其余内容,请升级到 CoddyKit PRO。 Spring Boot 4 Complete Guide 课程共包含 4 节课。

「Kubernetes 编排基础」这节课中我会学到什么?

了解如何在 Kubernetes 集群上部署和管理 Spring Boot 应用。 你通过在浏览器中直接运行的动手代码来练习 Spring Boot 4 Complete Guide,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Spring Boot 4 Complete Guide 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Spring Boot 4 Complete Guide 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 1 节课,共 4 节。

「Kubernetes 编排基础」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 Spring Boot 4 Complete Guide 课中编写并运行代码吗?

能。每节 Spring Boot 4 Complete Guide 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. Kubernetes 编排基础
  2. 使用 Sleuth 与 Zipkin 进行分布式追踪
  3. 健康检查与弹性模式
  4. 使用 Micrometer 和 Prometheus 监控指标与仪表板
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