Docker Mastery in Gelasian Grasslands

Introduction

Imagine you are in the ancient grasslands of Gelasian, where wild horses roam freely and the bond between a horse tamer and the untamed beasts is vital for survival. Your role is the wild horse tamer, tasked with the challenge of utilizing Docker to manage Docker containers efficiently in this vast landscape.

Mastering Container Creation

In this step, you will learn the basics of creating and managing Docker containers to survive in the wild grasslands.

Tasks

• Create an Nginx container named mynginx and ensure it is running successfully.
• Launch an Alpine container and verify its status.
• Deploy an Ubuntu container with a specific volume attached (mounting the host's ~/project to the container's /app).

Requirements

• You must conduct all operations within the /home/labex/project directory.
• Utilize the following commands:
  • For creating containers: docker run
  • For checking container status: docker ps
  • For attaching a volume: docker run -v

Example

After completing the tasks, the output of docker ps should display the running containers, including relevant information like container ID, image, and status.

labex:~/ $ docker ps
CONTAINER ID   IMAGE     COMMAND                  CREATED          STATUS          PORTS     NAMES
1983f85f03d4   ubuntu    "sleep 3600"             22 seconds ago   Up 21 seconds             ubuntu_container
4231996cae33   alpine    "sleep 3600"             2 minutes ago    Up 2 minutes              alpine_container
519eadd3ced5   nginx     "/docker-entrypoint.…"   2 minutes ago    Up 2 minutes    80/tcp    mynginx

Container Networking and Communication

In this step, you will delve into the world of container networking and communication to establish seamless connectivity across the grasslands.

Tasks

• Create a custom network named mynetwork for the containers.
• Deploy a Alpine container named myalpine on the custom network and ensure it can communicate with other containers named mypython based on the Python image in the same network.

Requirements

• All operations must remain within the /home/labex/project directory.
• Utilize the following commands:
  • For creating a custom network: docker network create
  • For attaching containers to a network: docker network connect

Example

Upon completion of the tasks, the custom network should be visible when executing docker network ls, and the Python container should successfully communicate with other containers within the network.

See the network:

labex:~/ $ docker network ls
NETWORK ID     NAME        DRIVER    SCOPE
1a367e6cc4e5   bridge      bridge    local
91199fc6ad2e   host        host      local
32e2857073a9   minikube    bridge    local
92d3b71b7efd   mynetwork   bridge    local
1078d2c781b6   none        null      local

See the containers connection by ping:

labex:~/ $ docker exec myalpine ping mypython
PING mypython (172.18.0.3): 56 data bytes
64 bytes from 172.18.0.3: seq=0 ttl=64 time=0.153 ms
64 bytes from 172.18.0.3: seq=1 ttl=64 time=0.072 ms
64 bytes from 172.18.0.3: seq=2 ttl=64 time=0.069 ms

Summary

In this challenge, you will take on the role of a wild horse tamer in the ancient grasslands, mastering the art of managing Docker containers. By completing the tasks and understanding the solutions, you will gain essential skills in Docker container management and networking, essential for surviving in the untamed world of Docker.