Overview of Docker Images
Docker images are the fundamental building blocks of Docker containers. They are read-only templates that contain the necessary software, libraries, and dependencies to run an application. Docker images are stored in a Docker registry, which can be either a public registry like Docker Hub or a private registry.
To understand Docker images better, let's consider a simple example. Suppose you want to run a web application that requires a specific version of Python and a set of Python libraries. You can create a Docker image that includes the necessary Python runtime, libraries, and your application code. This image can then be used to create one or more Docker containers, each of which will run your web application in an isolated and consistent environment.
graph TD
A[Docker Image] --> B[Docker Container]
B --> C[Application]
Docker images are built using a set of instructions called a Dockerfile. A Dockerfile is a text file that specifies the steps required to create a Docker image, such as installing software packages, copying application code, and setting environment variables. Here's an example of a simple Dockerfile:
FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["python", "app.py"]
This Dockerfile starts with a base image of Python 3.9 with a slim variant, sets the working directory to /app
, copies the requirements.txt
file, installs the required Python packages, copies the application code, and sets the command to run the app.py
script.
By using Docker images, you can ensure that your application runs consistently across different environments, from development to production, without having to worry about differences in system configurations or dependencies.