Docker Tutorial

8. Docker Containers Guide | How to Run, Manage & Access Containers

Docker Containers

Docker containers are lightweight, isolated execution environments that allow applications to run reliably across different computing environments. They package application code along with all its dependencies, ensuring consistency from development to production.

What is a Docker Container?

A Docker container is a running instance of a Docker image. While the image is static and read-only, the container is a live, active environment created from that image. Containers share the host system’s kernel but maintain isolated user-space environments.

Key Features of Docker Containers

  • Portable across different systems
  • Lightweight and fast to start
  • Isolated from other containers and the host
  • Consistent behavior in multiple environments
  • Efficient resource usage compared to virtual machines

Docker Containers vs Virtual Machines

Virtual Machines: Require a full guest OS along with application and dependencies, making them heavier and slower.

Docker Containers: Share the host OS kernel, resulting in smaller size, faster startup, and less overhead.

Feature Docker Container Virtual Machine
Boot Time Seconds Minutes
Size MBs GBs
Isolation Process-Level Hardware-Level
Resource Usage Low High

Container Lifecycle

  • Create
  • Start
  • Stop
  • Restart
  • Destroy

Basic Docker Container Commands


# Run a container interactively
docker run -it ubuntu

# List running containers
docker ps

# List all containers including stopped
docker ps -a

# Stop a container
docker stop 

# Remove a container
docker rm 

Accessing a Running Container

You can attach a terminal session to a running container to execute commands inside it:


docker exec -it  /bin/bash

Data Persistence and Volumes

By default, data in a container is temporary and deleted when the container is removed. Docker volumes allow data persistence across container lifecycles:


docker run -v /host/data:/container/data -it ubuntu

Best Practices for Containers

  • Keep containers small and focused on a single purpose.
  • Use environment variables for configuration.
  • Persist data in volumes instead of inside containers.
  • Use Docker Compose for multi-container applications.
  • Regularly update containers to patch vulnerabilities.

Conclusion

Docker containers are at the heart of modern DevOps and cloud-native development. Their portability, efficiency, and consistency make them essential for developing, testing, and deploying applications in any environment.

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