Optimizaci贸n Avanzada en Docker
La importancia de Aprender Docker
Desbloqueando el Poder de Docker
Construcci贸n de Im谩genes Multi-stage
Escaneo de im谩genes en Docker
Optimizaci贸n de Im谩genes de docker con Distroless
Compilaci贸n Multiplataforma
Gesti贸n de Cach茅 y Eficiencia en Builds
Reducci贸n de Dependencias y Minimizaci贸n de Tama帽o
Optimizaci贸n de Build Context y Reducci贸n de Transferencias
Explorando Docker Hub
Buenas Pr谩cticas en Docker
Uso Eficiente de Capas en Im谩genes Docker
Uso de .dockerignore para Optimizaci贸n
Eliminaci贸n de Archivos Temporales y Residuos en Docker
Agrega usuarios a tu imagen de docker
Mejores Pr谩cticas para Construcci贸n de Im谩genes
Instalaci贸n y Configuraci贸n en Entornos Multiplataforma
Despliegue de Docker en Azure y Entornos Locales
Publicar tu imagen a Container Apps de Azure
Redes Avanzadas y Balanceo de Carga
Modelos de Red en Docker
Exposici贸n y Publicaci贸n de Puertos en Docker
Balanceo de Carga con Docker
Automatizaci贸n de CI/CD
Ejecuci贸n de Scripts Multi-line en Docker
Automatizaci贸n de CI/CD con Docker
Estrategias Avanzadas de CI/CD en Docker
Publicando mi imagen de docker a la nube con CI/CD
Orquestaci贸n
Retomando Docker Compose
Secciones en un archivo Docker Compose
Agregando vol煤menes con Docker Compose
Secuencia de apagado
Introducci贸n a Docker Swarm
Replicaci贸n de Stacks con Docker Compose
De Docker a la nube
Orquestadores de contenedores
Costos de Docker
Develop
Introducci贸n a los devcontainers
You don't have access to this class
Keep learning! Join and start boosting your career
Exploring networks in Docker opens up a world of possibilities, especially for understanding how containers operate. Docker offers five different networking models, but one stands out as the most widely used, while the others are more appropriate for testing. This section breaks down each of these models and their applications.
The bridge model is the default in Docker and allows communication between containers in a local environment. This model is perfect for internal testing, where you want containers to "talk" without interfering with the outside world.
The host model allows containers to use the IP address of the host, simulating a real computer within the network. This model is efficient and resource-intensive, ideal for simulating production environments and detailed network testing.
The isolated network model disconnects a container from the outside world, useful for testing system resilience to communication failures. This allows you to analyze the behavior of the system if one part is not operational, ideal for test environments.
The overlay model allows containers to communicate with each other, even if they are on different machines. It is crucial in large-scale deployment scenarios and is widely used by orchestrators such as Kubernetes.
MacVLAN assigns a real MAC address to each container, making them look like independent machines to the network. This model is useful for creating environments where each container acts as a standalone entity, providing flexibility for various configurations.
Establishing communication between containers is an essential aspect when working with Docker, and the bridge model facilitates this process. Here is a practical example of how to set up a personal network for two containers to communicate.
For this exercise, we start by creating a network with the command:
docker network create mi_red_bridge
This command generates a network identified by a unique set of characters.
First, we download and run an Nginx container, assigning it to our network:
docker run -d --network my_network_bridge --name web_server nginx:latest
This command deploys Nginx in the background, inside the bridge network.
To interact, we need another container that will act as a client:
docker run -it --network mi_red_bridge --name client alpine:latest /bin/sh
Alpine provides a lightweight terminal to run test commands.
On the client, we install 'curl' to test the communication:
apk add --no-cache curl
Then, we use 'curl' to access the web server:
curl http://servidor_web
This shows the home page of the Nginx server from the client, confirming the communication between both containers via the bridge network.
Playing with network configurations in Docker is an excellent way to learn and better understand the behavior of containers in different environments. We encourage you to experiment with all network models to determine which one best suits your projects. This practice not only enriches your knowledge, but also empowers your skills to face real challenges in production environments. Don't stop and keep learning!
Contributions 3
Questions 0
Want to see more contributions, questions and answers from the community?