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🚀 Introduction to Docker
In a world of cloud-native development and microservices,
teams need consistent, scalable, and portable environments for building and
running applications. This is where Docker comes in — a containerization
platform that enables you to develop, package, and deploy applications
quickly and reliably across multiple environments.
Docker helps overcome the classic problem:
“It works on my machine, but not on yours.”
By containerizing applications, Docker ensures your software
runs the same everywhere — from development to production.
📦 What is a Container?
A container is a standard unit of software that
packages up:
All of this is bundled into a lightweight, portable image
that can run consistently across different systems.
🔄 Containers vs Virtual
Machines
Let’s understand how containers differ from traditional
virtual machines (VMs).
Feature |
Virtual Machine |
Docker Container |
OS |
Full guest OS |
Shares host OS kernel |
Boot time |
Minutes |
Seconds |
Resource usage |
Heavy (entire OS +
app) |
Lightweight (only app
and dependencies) |
Portability |
Limited
(OS-dependent) |
Highly
portable across environments |
Isolation level |
Strong (hardware
virtualization) |
Strong
(namespace/cgroup isolation) |
🧠 Why Use Docker?
Here are the most compelling reasons to adopt Docker:
🔹 Consistency Across
Environments
Develop once, run anywhere — no "it works on my
machine" issues.
🔹 Fast, Lightweight
Runtime
Containers start in seconds and require fewer resources than
VMs.
🔹 Microservices Ready
Run each component of your app in its own container — ideal
for modern app architecture.
🔹 Seamless CI/CD
Integration
Docker integrates well into continuous build/test pipelines.
🔹 Cloud-Native Support
Supported on all major cloud providers and orchestration
platforms like Kubernetes.
🧰 Docker Components
Overview
Component |
Description |
Docker Engine |
The core client-server
application that runs containers |
Docker CLI |
The
command-line tool to interact with the Docker daemon |
Docker Daemon |
The background process
that manages containers |
Docker Images |
Blueprints
used to create containers |
Docker Containers |
Running instances of
Docker images |
Docker Hub |
Public
registry for sharing Docker images |
Docker Compose |
Tool for defining and
managing multi-container apps using YAML |
🧱 Docker Architecture
Docker follows a client-server architecture:
css
[
Docker CLI ] <--> [ Docker Daemon ] <--> [ Container Runtime +
Images ]
🧠 On Windows/macOS,
Docker runs inside a lightweight VM via Docker Desktop to provide a
Linux-compatible kernel.
🧪 Installing Docker
Docker supports all major platforms.
🔹 On Ubuntu:
bash
sudo
apt-get update
sudo
apt-get install docker.io
sudo
systemctl start docker
sudo
systemctl enable docker
🔹 On macOS/Windows:
Once installed, you can verify Docker with:
bash
docker
--version
Output:
bash
Docker
version 24.0.6, build 1a79695
🏃 Your First Docker
Command
Let’s run a simple hello-world container:
bash
docker
run hello-world
Expected output:
bash
Hello from Docker!
This message shows that your installation appears to be working
correctly.
This command does the following:
🧠 Understanding Docker's
Efficiency
Docker images use a layered file system:
🛠️ Essential Docker
Commands
After installing Docker and running your first container,
it's time to learn the most useful commands to manage containers, images, and
volumes.
🔹 Container Management
Command |
Description |
docker run
<image> |
Run a container from
an image |
docker ps |
List running
containers |
docker ps -a |
List all containers
(including stopped) |
docker stop <container> |
Stop a
running container |
docker start
<container> |
Start a stopped
container |
docker rm <container> |
Remove a
container |
docker logs
<container> |
View container logs |
docker exec -it <container> bash |
Run a shell
inside a container |
🧱 Building Docker Images
with Dockerfile
A Dockerfile is a text file that contains
instructions to build a Docker image.
🔹 Sample Dockerfile
Let’s create a basic Dockerfile for a Node.js app:
Dockerfile
#
Use official Node.js base image
FROM
node:18
#
Set working directory
WORKDIR
/app
#
Copy files into the container
COPY
package*.json ./
RUN
npm install
COPY
. .
#
Set the command to run
CMD
["node", "index.js"]
Save this as Dockerfile in your project directory.
🔹 Build the Image
Use the docker build command to create an image:
bash
docker
build -t my-node-app .
🔹 Run the Image
bash
docker
run -p 3000:3000 my-node-app
📂 Docker Image Management
🔹 List Images
bash
docker
images
🔹 Remove Image
bash
docker
rmi my-node-app
🔹 Tag and Push to Docker
Hub
bash
docker
tag my-node-app username/my-node-app:latest
docker
push username/my-node-app:latest
Make sure you log in first:
bash
docker login
🧠 Use image tags to
version your builds: :v1, :latest, :dev
📁 Docker Volumes:
Persistent Storage
Containers are ephemeral by default — their data is
lost when stopped. Volumes allow containers to persist and share data.
🔹 Creating and Mounting a
Volume
bash
docker
volume create mydata
docker
run -v mydata:/app/data my-node-app
This mounts the volume mydata inside the container at
/app/data.
🔹 Bind Mount from Host
bash
docker
run -v $(pwd):/app my-node-app
This mounts your current directory ($(pwd)) to /app in the
container.
Type |
Description |
Volumes |
Managed by Docker,
stored under /var/lib/docker/volumes |
Bind Mount |
Maps host
directory into container manually |
🌐 Docker Networking
Basics
By default, Docker creates a bridge network for
containers.
🔹 List Docker Networks
bash
docker
network ls
🔹 Create a Custom Network
bash
docker
network create my-network
Run two containers on the same network:
bash
docker
run -d --name db --network my-network postgres
docker
run -d --name app --network my-network my-node-app
The container app can now access db using its container
name as a hostname (db:5432).
🧠 Summary Table: Key
Docker CLI Usage
Task |
Command Example |
Build image from
Dockerfile |
docker build -t myapp
. |
Run a container |
docker run -d
-p 80:80 myapp |
List containers |
docker ps -a |
View logs |
docker logs
<container> |
Enter running container |
docker exec -it
<container> bash |
Create volume |
docker volume
create myvolume |
Mount volume |
docker run -v
myvolume:/data myapp |
🧩 Docker Compose:
Simplifying Multi-Container Setups
When your app needs multiple containers — like a backend,
frontend, and a database — managing each with docker run becomes tedious. Docker
Compose solves this by allowing you to define and run multi-container
applications with a single command.
🔹 What is
docker-compose.yml?
It’s a YAML configuration file where you define services,
networks, and volumes needed for your app.
✅ Sample Compose File (Node +
Postgres)
yaml
version:
'3'
services:
web:
build: .
ports:
- "3000:3000"
depends_on:
- db
db:
image: postgres:15
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: secret
🔹 Commands
Command |
Description |
docker-compose up |
Starts all services
defined in YAML |
docker-compose down |
Stops and
removes services |
docker-compose
build |
Builds all images |
docker-compose logs -f |
Follows logs
from all containers |
🔹 Benefits of Compose
🧠 Understanding Docker
Architecture Internals
Docker’s magic lies in Linux kernel features that
allow multiple containers to share the same OS while staying isolated.
🔹 Key Technologies Used
Component |
Description |
Namespaces |
Provide isolation for
containers (processes, users, mounts) |
Cgroups |
Control CPU,
memory, and I/O resource allocation |
UnionFS |
Used in image
layering; merges multiple directories into one |
Containerd |
Runtime
responsible for container lifecycle management |
🧠 These features ensure
containers behave like mini VMs, but are far more efficient.
🔹 Namespaces in Action
Namespace |
What It Isolates |
pid |
Process IDs |
net |
Network
interfaces and IPs |
mnt |
Filesystem mount
points |
uts |
Hostname and domain
name |
ipc |
Inter-process
communication |
Each container gets its own instance of these namespaces.
📦 Docker Registries &
Docker Hub
🔹 Docker Hub
Docker Hub is the default public registry where you
can:
bash
docker
pull nginx
docker
push username/my-image
🔹 Private Registries
You can run your own Docker registry using:
bash
docker
run -d -p 5000:5000 --name registry registry:2
Ideal for secure, internal image hosting.
🛠️ Troubleshooting
Docker
Common problems and how to fix them:
Problem |
Solution |
Container exits
immediately |
Use docker logs
<container> for clues |
Port conflicts |
Change -p
mapping to a free port |
Build fails |
Double-check
Dockerfile syntax and paths |
"Permission denied" on volumes |
Check Linux
file permissions and SELinux/AppArmor policies |
Networking issues |
Use docker network
inspect or exec ping |
🔍 Debugging Tips
🌍 Real-World Example: Web
App Stack
Let’s say you’re building a web app with:
Docker Compose lets you define and connect all three in
minutes. Teams can clone the repo, run docker-compose up, and have the full app
running instantly — no setup hassles.
✅ Summary: Chapter 1 Recap
Section |
Key Takeaway |
Docker Basics |
Docker runs
lightweight containers, ideal for microservices |
Key Components |
Images,
containers, Dockerfile, volumes, networks |
Architecture |
Uses Linux kernel
features for fast, isolated environments |
Compose |
Simplifies multi-service
application management |
Registries |
Public and private
options for storing Docker images |
Troubleshooting |
Logs,
inspect, and interactivity help isolate issues quickly |
A: Docker is a containerization platform that allows
applications to run in isolated environments. Unlike VMs, Docker containers
share the host OS kernel and are much more lightweight and faster to start.
A: A Docker container is a runnable instance of a
Docker image. It includes everything needed to run an application: code,
runtime, libraries, and dependencies—all in an isolated environment.
A: A Docker image is a read-only blueprint or
template used to create containers. A container is the live, running instance
of that image.
A: Docker Hub is a cloud-based repository where
developers can share and access Docker images. It includes both official and
community-contributed images.
A: A Dockerfile is a script that contains a series of
commands and instructions used to create a Docker image. It defines what goes
into the image, such as the base OS, software dependencies, and run commands.
A: Yes! Docker Desktop is available for both Windows
and macOS. It uses a lightweight VM under the hood to run Linux-based
containers.
A: Docker streamlines development, testing, and
deployment by providing consistent environments. It integrates well with CI/CD
pipelines, automates deployments, and simplifies rollback strategies.
A: Docker Compose is a tool for defining and managing
multi-container Docker applications using a YAML file. It's ideal for setting
up development environments with multiple services (e.g., web + database).
A: Docker offers strong isolation but not complete
security out-of-the-box. Best practices like using minimal base images,
non-root users, and scanning for vulnerabilities are recommended.
A: Docker is used for local development environments,
microservices deployment, machine learning pipelines, CI/CD workflows,
cloud-native apps, and legacy app modernization.
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