Docker vs kubernetes devops shorts
Автор: CodeGlow
Загружено: 2025-05-16
Просмотров: 1
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okay, let's dive into a detailed comparison of docker and kubernetes, focusing on their roles in devops and providing code examples to illustrate their usage. i'll also cover how they are often used together.
*docker vs. kubernetes: a deep dive for devops*
*introduction*
docker and kubernetes are foundational technologies in modern devops practices. while often mentioned together, they solve distinct problems. understanding their individual strengths and how they work together is crucial for building scalable, resilient, and maintainable applications.
*docker:* focuses on **containerization**, packaging applications and their dependencies into isolated units.
*kubernetes:* focuses on **container orchestration**, managing the deployment, scaling, and operation of containerized applications across a cluster of machines.
*1. docker: containerization explained*
*what is docker?*
docker is a platform for building, shipping, and running applications using containers. containers are lightweight, standalone, executable packages that include everything needed to run a piece of software, including code, runtime, system tools, system libraries, and settings.
*key concepts in docker:*
*docker image:* a read-only template that contains the instructions for creating a docker container. think of it as a blueprint.
*docker container:* a runnable instance of a docker image. it's the actual running application.
*dockerfile:* a text file that contains all the instructions to build a docker image.
*docker hub/registry:* a repository for storing and sharing docker images (public or private).
*docker daemon:* a background service that manages the building, running, and distribution of docker containers.
*docker cli:* a command-line interface for interacting with the docker daemon.
*benefits of docker:*
*isolation:* containers isolate applications from the underlying host system ...
#Docker #Kubernetes #airtelnetworkproblem
Docker Kubernetes DevOps containerization orchestration microservices scalability automation deployment cloud-native infrastructure management CI/CD container orchestration tools application management service discovery
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