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Question: What is Docker and how does it differ from virtual machines?
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Answer: Docker is a containerization platform that allows you to package an application and its dependencies into a
standardized unit called a container. Unlike virtual machines, which virtualize the entire operating system,
Docker containers virtualize the operating system only at the application level, making them lightweight and efficient.
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Question: Can you explain the difference between Docker images and Docker containers?
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Answer: Docker images are templates used to create Docker containers. They contain everything needed to run an application,
including the code, runtime, libraries, and dependencies. Docker containers are instances of Docker images that run as isolated
processes on the host operating system.
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Question: What is the purpose of Dockerfile?
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Answer: A Dockerfile is a text file that contains instructions for building a Docker image.
It specifies the base image to use, commands to install dependencies, configure the environment, and set up the application.
Dockerfiles allow for automated and reproducible builds of Docker images.
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Question: Can you explain the concept of Docker volumes?
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Answer: The Docker volumes are a way to persist data generated by and used by Docker containers.
They allow data to be shared between containers or between a container and the host system.
Docker volumes are mounted into containers as directories, and they can be managed independently of the container lifecycle.
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Question: How do you manage Docker containers in a production environment?
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Answer: In a production environment, Docker containers are typically managed using container orchestration platforms
such as Kubernetes, Docker Swarm, or AWS ECS, etc.
These platforms provide features for deploying, scaling, monitoring, and managing containers across a cluster of hosts.
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Question: What is Docker Compose, and how is it used?
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Answer: The Docker Compose is a tool for defining and running multi-container Docker applications.
It uses a YAML file to define the services, networks, and volumes required by an application, and then it can start
and manage all the containers as a single unit.
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Question: What are some best practices for optimizing Docker images?
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Answer: Some best practices for optimizing Docker images include using multi-stage builds to minimize image size,
using a lightweight base image, minimizing the number of layers, and removing unnecessary dependencies and files.
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Question: What is Docker's main advantage over traditional virtualization?
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Answer: Docker's main advantage over traditional virtualization is its lightweight nature.
Also Docker containers are process-isolated and don't require a hardware hypervisor.
While traditional virtual machines virtualize the entire operating system, Docker containers virtualize only the application and its dependencies, making them faster to start, more efficient
in resource usage, and easier to deploy and manage.
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