Spring Boot 4 Microservices & REST APIs · 课时

部署到 Kubernetes 集群

学习将微服务打包并部署到 Kubernetes 集群，实现可扩展的编排。

第 1 / 3 课11 个步骤

部署到 Kubernetes 集群 是 CoddyKit 上的免费 Spring Boot 4 Microservices & REST APIs 课时。这是第 1 节课，共 3 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 Microservices & REST APIs 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 Microservices & REST APIs 课程共包含 3 节课。

本课时的部分内容尚未翻译，以英文显示。

Why Kubernetes for Deployment?

You've built microservices and containerized them with Docker. Now, how do you manage them at scale?

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It helps you run your microservices reliably.

Containerizing Your Microservice

Before deploying to Kubernetes, your Spring Boot application needs to be packaged into a Docker image. This process makes your application portable.

A Dockerfile defines how to build this image. You can think of it as a recipe for your container.

FROM openjdk:17-jdk-slim
ARG JAR_FILE=target/*.jar
COPY ${JAR_FILE} app.jar
ENTRYPOINT ["java","-jar","/app.jar"]

Kubernetes Core: Pods

The smallest deployable unit in Kubernetes is a Pod. A Pod represents a single instance of a running process in your cluster.

A Pod typically contains one application container (e.g., your Spring Boot app).
It can also contain sidecar containers for logging or monitoring.
Pods are ephemeral: if a Pod dies, Kubernetes creates a new one.

Kubernetes Core: Deployments

Directly managing Pods is tricky. That's where Deployments come in! A Deployment describes the desired state for your application.

It manages a set of identical Pods.
Handles rolling updates and rollbacks.
Ensures a specified number of Pod replicas are always running.

Think of it as the blueprint for your application instances.

Crafting Your Deployment YAML

Deployments are defined using YAML files. This manifest specifies details like the Docker image to use, the number of replicas, and resource limits.

Here's a basic example for a Spring Boot microservice:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-spring-app
spec:
  replicas: 2
  selector:
    matchLabels:
      app: my-spring-app
  template:
    metadata:
      labels:
        app: my-spring-app
    spec:
      containers:
      - name: my-spring-app
        image: your-dockerhub-user/my-spring-app:1.0
        ports:
        - containerPort: 8080

Kubernetes Core: Services

Pods are created and destroyed dynamically, so their IP addresses change. How do other services or users find them?

A Service provides a stable network endpoint for a set of Pods. It acts as a load balancer, routing traffic to healthy Pods.

Decouples clients from Pod IP addresses.
Enables communication between microservices.

Exposing Your App with a Service

To make your Spring Boot application accessible, you need a Service. We'll use a NodePort type, which exposes the service on a static port on each Node.

This allows external traffic to reach your application.

apiVersion: v1
kind: Service
metadata:
  name: my-spring-app-service
spec:
  selector:
    app: my-spring-app
  ports:
    - protocol: TCP
      port: 8080
      targetPort: 8080
  type: NodePort

Deploying Your App with Kubectl

Once your Deployment and Service YAML files are ready, you use the kubectl command-line tool to apply them to your Kubernetes cluster.

kubectl interacts with the Kubernetes API server to create or update resources.

kubectl apply -f deployment.yaml
kubectl apply -f service.yaml

Verify and Scale Your Application

After applying, you can check the status of your deployments and services:

kubectl get deployments
kubectl get pods
kubectl get services

To scale your application (e.g., to 4 instances):

kubectl scale deployment my-spring-app --replicas=4

Kubernetes Core Concepts Quiz

Test your understanding of Kubernetes deployment fundamentals.

在交互式课程中回答

Recap: Deploying to Kubernetes

In this lesson, you learned how to prepare your Spring Boot microservice for Kubernetes deployment and the core resources involved:

Pods: Smallest deployable units.
Deployments: Manage and scale Pods.
Services: Expose your application reliably.

You now have the foundation to deploy your containerized applications to a Kubernetes cluster!

免费开始

用 AI 导师学习 Java — 免费

在浏览器中编写并运行真实代码，获得全天候 AI 导师的即时帮助，并在网页或应用中继续学习。

课程: 24
课程: 93

免费开始学习查看完整课程

常见问题解答

「部署到 Kubernetes 集群」课时是免费的吗？

是的 — 「部署到 Kubernetes 集群」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 Microservices & REST APIs 课程的其余内容，请升级到 CoddyKit PRO。 Spring Boot 4 Microservices & REST APIs 课程共包含 3 节课。

「部署到 Kubernetes 集群」这节课中我会学到什么？

学习将微服务打包并部署到 Kubernetes 集群，实现可扩展的编排。你通过在浏览器中直接运行的动手代码来练习 Spring Boot 4 Microservices & REST APIs，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 Microservices & REST APIs 需要有经验吗？

无需任何先前经验。CoddyKit 上的 Spring Boot 4 Microservices & REST APIs 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 3 节。

「部署到 Kubernetes 集群」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 Microservices & REST APIs 课中编写并运行代码吗？

能。每节 Spring Boot 4 Microservices & REST APIs 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

← 返回 Spring Boot 4 Microservices & REST APIs