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1
Docker Crash Course Intro
2
Docker Overview
3
Installing Docker Desktop or Docker Engine
4
Virtual Machines vs Docker Containers
5
Virtual Machines Architecture
6
How I use Virtual Machines
7
Docker Containers Architecture
8
How Docker is running on different Operating Systems
9
Container processes and resources
10
Docker Components Overview
11
Docker Client
12
Docker Server
13
Docker Host
14
Docker Image
15
Docker Container
16
Docker Repository
17
Docker Registry
18
Docker Components Summary
19
Docker Commands vs Management Commands
20
Alternative Commands
21
Basic Container and Images commands
22
Cleaning up my Docker setup
23
Pulling images from Docker Hub
24
What is Docker Image
25
Creating new Container from the Image
26
What is CMD in the Docker Image
27
What is Docker Container
28
What is ports mapping
29
Enabling ports mapping for the NGINX container
30
Environment variables for containers
31
Volumes and volumes mapping
32
Enabling volumes mapping for NGINX container
33
Running applications inside of the containers
34
What is Dockerfile
35
Creating Dockerfile
36
Launching container based on the custom image
37
Trying to connect Python and Mongo containers
38
Attaching containers to the custom bridge network
39
Docker Compose and YAML
40
Launching services using Docker Compose
41
Writing documents to the database
42
Enabling Ports Mapping in Docker Compose
43
Using Volumes in Docker Compose
44
Docker Crash Course Summary
45
Publishing course project files to the GitHub
Description:
Dive into a comprehensive 5-hour video course on Docker, covering everything from basic concepts to advanced techniques. Learn about Docker's architecture, components, and commands. Explore the differences between virtual machines and containers, understand image and container management, and master port mapping and volume handling. Discover how to create custom Dockerfiles, work with Docker Compose, and implement multi-container applications. Gain practical experience by connecting Python and MongoDB containers, writing to databases, and publishing project files to GitHub. By the end of this in-depth tutorial, you'll have a solid foundation in Docker technology and be ready to apply it to your own projects.

Docker Full Course

Bogdan Stashchuk
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#Computer Science #DevOps #Docker #Programming #Software Development
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Docker Crash Course Intro