Spring Boot 4 Microservices & REST APIs · Aula

Gerenciando contêineres com Docker Compose

Orquestre vários contêineres Docker para seus microsserviços usando o Docker Compose.

Aula 2 de 311 etapas

Gerenciando contêineres com Docker Compose é uma aula grátis de Spring Boot 4 Microservices & REST APIs no CoddyKit. Esta é a aula 2 de 3. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Spring Boot 4 Microservices & REST APIs, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Spring Boot 4 Microservices & REST APIs inclui 3 aulas no total.

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Why Multi-Container Apps?

Microservices often rely on several components. Think of a Spring Boot application needing a database, a message queue, or another API service.

Each component typically runs in its own Docker container. Managing these individually can become complex, especially during development.

How do we start them all together, ensure they can communicate, and manage their lifecycle efficiently? This is where Docker Compose steps in!

Introducing Docker Compose

Docker Compose is a tool for defining and running multi-container Docker applications. Instead of managing each container separately, you define all services in a single, easy-to-read file.

This definition file is typically named docker-compose.yml. It uses YAML syntax, which is both human-readable and machine-parseable.

Compose simplifies your development workflow by letting you spin up your entire application stack with a single command.

Basic docker-compose.yml Structure

The docker-compose.yml file starts with a version, followed by the services section where you define each container as a distinct service.

Each service represents a container, and you can specify its image, exposed ports, environment variables, and more.

Here's a minimal structure for a simple web app:

version: '3.8'
services:
  webapp:
    image: 'nginx:latest'
    ports:
      - '80:80'

Defining a Web Service

Let's define a simple web service. We'll use the official Nginx image, map a port, and give it an optional container_name.

The image key specifies the Docker image to use (e.g., nginx:latest). The ports key maps host ports to container ports (e.g., host's port 80 to container's port 80).

version: '3.8'
services:
  webapp:
    image: 'nginx:latest'
    ports:
      - '80:80'
    container_name: my_nginx_app

Adding a Database Service

Most applications need a database. Let's add a PostgreSQL database service to our docker-compose.yml file.

We'll specify the postgres:13 image and set crucial environment variables for credentials (POSTGRES_DB, POSTGRES_USER, POSTGRES_PASSWORD).

version: '3.8'
services:
  webapp:
    image: 'nginx:latest'
    ports:
      - '80:80'
  database:
    image: 'postgres:13'
    environment:
      POSTGRES_DB: mydatabase
      POSTGRES_USER: user
      POSTGRES_PASSWORD: password

Connecting Services (Networking)

Docker Compose automatically creates a default network for all services defined in your docker-compose.yml file.

Services can communicate with each other using their service names as hostnames. For example, your web app can connect to the database using database as the hostname and the specified port (e.g., 5432 for PostgreSQL).

This automatic networking simplifies inter-service communication setup significantly.

Data Persistence with Volumes

Containers are ephemeral; data inside them is lost if the container is removed. For databases, this is a critical problem!

Docker volumes provide a way to persist data generated by Docker containers. We can use a named volume to store our database's data outside the container, ensuring it survives container restarts or removals.

version: '3.8'
services:
  database:
    image: 'postgres:13'
    environment:
      POSTGRES_DB: mydatabase
      POSTGRES_USER: user
      POSTGRES_PASSWORD: password
    volumes:
      - db_data:/var/lib/postgresql/data
volumes:
  db_data:

Building Custom Images

Often, you'll have your own application code (like a Spring Boot JAR) that needs to be built into a Docker image. Docker Compose can handle this too.

Instead of specifying an image, you can use the build key and point to the directory containing your Dockerfile.

Compose will then build your custom image before starting the service. Here's how it looks:

# docker-compose.yml
version: '3.8'
services:
  my-app:
    build: ./my-app-dir
    ports:
      - '8080:8080'

# my-app-dir/Dockerfile
FROM openjdk:17-jdk-slim
COPY target/my-app.jar app.jar
ENTRYPOINT ["java", "-jar", "app.jar"]

Key Docker Compose Commands

Once your docker-compose.yml is ready, a few commands will be essential for managing your application stack:

  • docker compose up: Builds (if needed) and starts all services. Use -d for detached mode.
  • docker compose down: Stops and removes containers, networks, and optionally volumes.
  • docker compose ps: Lists all running services defined in the Compose file.
  • docker compose logs: Shows log output from services.

Remember to run these commands in the directory where your docker-compose.yml file is located.

Quick Check: Compose Essentials

Consider a docker-compose.yml file that defines two services: web and db.

Which of the following statements about how these services communicate and store data are generally TRUE?

Recap: Your Multi-Container Powerhouse

Congratulations! You've learned how Docker Compose simplifies the management of multi-container applications.

You can now define your entire application stack in a single docker-compose.yml file, including web services, databases, and custom-built images.

This tool is incredibly useful for local development and testing of microservices, allowing you to spin up your whole environment with just one command. Keep practicing!

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O que vou aprender em “Gerenciando contêineres com Docker Compose”?

Orquestre vários contêineres Docker para seus microsserviços usando o Docker Compose. Você pratica Spring Boot 4 Microservices & REST APIs com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar Spring Boot 4 Microservices & REST APIs?

Nenhuma experiência prévia é necessária. Spring Boot 4 Microservices & REST APIs no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 3.

Quanto tempo leva a aula “Gerenciando contêineres com Docker Compose”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de Spring Boot 4 Microservices & REST APIs?

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Todas as aulas deste curso

  1. Colocando aplicações Spring Boot em contêineres Docker
  2. Gerenciando contêineres com Docker Compose
  3. Conceitos de orquestração de contêineres
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