Docker鏡像和容器的區(qū)別在於：1. 鏡像是靜態(tài)模板，包含運(yùn)行應(yīng)用所需的文件和指令；2. 容器是鏡像的運(yùn)行實(shí)例，具有可變性；3. 鏡像通過Dockerfile構(gòu)建，不改變除非重建；4. 容器可以啟動、停止、刪除，且能存儲臨時(shí)數(shù)據(jù)；5. 多個(gè)容器可基於同一鏡像運(yùn)行，彼此隔離；6. 鏡像不可直接執(zhí)行網(wǎng)絡(luò)或存儲操作，而容器可以。

A Docker image and a Docker container are two core concepts in Docker, and understanding the difference helps when building, running, or managing applications with containers.

A Docker Image Is Like a Recipe

Think of a Docker image as a snapshot — a static template used to create containers. It contains the operating system, application code, libraries, dependencies, and instructions on how the container should behave when it runs.

Images are built from a Dockerfile, which defines every step needed to assemble the environment. Once built, an image doesn't change unless you rebuild it. That's why images are often described as read-only templates .

For example:

• You might have an image for a Python app that includes the Python runtime, your app's source code, and instructions to run app.py when the container starts.
• Images can be versioned using tags (like myapp:1.0 , myapp:latest ) so you can track changes over time.

A Docker Container Is a Running Instance of an Image

Once you use docker run or a similar command to start something based on an image, Docker creates a container — a live, working instance of that image.

Unlike images, containers are mutable. When your app writes logs, stores temporary files, or modifies data inside the container, those changes exist in the container layer, separate from the underlying image.

Some key points:

• Containers can be started, stopped, moved, or deleted.
• Multiple containers can run from the same image — each is an isolated copy.
• If you stop and remove a container, any data not saved externally will be lost unless configured otherwise (more on that below).

Key Differences You'll Notice Day-to-Day

Here are some practical differences you might encounter:

• Storage : Images take up disk space; containers use memory and CPU while running.
• Mutability : Images don't change once built. Containers do — until they're removed.
• Dependency chain : Containers depend on images. You can't run a container without first having its image available.
• Networking & storage : Containers can be connected to networks or attached to persistent storage volumes, while images cannot.

Also, if you make changes to a container and want to save them as a new image, you can commit the container ( docker commit ) to turn it into a reusable image.

So, in short:
An image is like a blueprint or template.
A container is what gets created when you actually run that blueprint.

It's not complicated once you get used to thinking of them as separate but related parts of the container lifecycle.

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