Docker - Swarm - Hands-On - Devops

Posted on 08 Oct 10:04 | by mitsumi | 13 views

Docker - Swarm - Hands-On -  Devops


Docker - Swarm - Hands-On - Devops
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.40 GB | Duration: 3h 52m

Explore Docker concepts in-depth with lectures, demos and hands-on coding exercises. Learn Swarm and Services in DevOps.


What you'll learn
Build Docker Containers
Setup & Develop on Docker on Windows
Deploy with Docker Containers
Understand Advanced Networking in Docker
Design & Build Docker Swarm Cluster
Create Docker Services and Stacks
Integrate Docker with CI/CD Pipelines
Requirements
Docker Basics
Basics of building docker images
Basics of running docker containers
Basics of docker compose
Description
"This is the best course there is on Udemy for all things Docker. I just aced 3 DevOps interviews by studying this course from end to end. Can't wait for the Kubernetes course to come out.!!" - Student TestimonialLearn advanced concepts in Docker with simple and clearly explained lectures with the help of animated slides. The lectures are followed by Demos. We then go through some coding exercises were you will practice Docker commands, and building your own application stack using Docker compose, Docker Service and Docker Stacks. You will be developing Docker compose files for various applications stacks and setting up cluster with Docker Swarm locally as well as on public cloud infrastructures . And finally we will work on an assignment that will give you exposure in deploying a complex application in Docker Swarm. "This course is awesome. I am getting in depth knowledge on docker. I subscribed to some other docker courses on Udemy but this one is the best." - Student TestimonialIn this course we go deeper into the concepts, we look at Docker Service, what a Docker stack is, what Docker Swarm is, what are overlay networks, and how we load balance in Docker. We will look at CI/CD pipeline integration with docker and docker's support on public cloud platforms.What is so special about THIS course?Lectures backed by animated slides makes it simple and easy to understand. This is the only course that provides Coding Exercises were you can practice Docker files right in your browser. Legal Notice:Docker and the Docker logo are trademarks or registered trademarks of Docker, Inc. in the United States and/or other countries. Docker, Inc. and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by Docker, Inc.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Join our Slack Channel for support and interaction
Section 2: Recap - Docker Compose
Lecture 3 Introduction
Lecture 4 Docker Compose in Depth
Lecture 5 Demo - Example Voting Application
Lecture 6 Demo - Example Voting App using Docker Compose
Lecture 7 Demo -Docker Compose
Lecture 8 Demo - Coding Exercise
Lecture 9 Accessing Labs
Lecture 10 Important: How to Access the Labs
Lecture 11 Labs: Docker Compose
Section 3: Docker Swarm
Lecture 12 Docker Swarm in Depth
Lecture 13 Demo - Docker Swarm
Section 4: Docker Service
Lecture 14 Docker Service in Depth
Lecture 15 Demo - Docker Service
Lecture 16 Labs: Docker Service
Section 5: Advanced Networking
Lecture 17 Advanced Networking - Overlay Networking
Section 6: Docker Stacks
Lecture 18 Docker Stacks
Lecture 19 Link: Placement Constraints
Lecture 20 Demo - Docker Stack
Lecture 21 Demo - Docker Visualizer
Section 7: CI/CD Integration
Lecture 22 CI/CD Introduction
Lecture 23 CI/CD - Docker Integration
Lecture 24 Docker Registry
Lecture 25 Demo - Docker Registry
Section 8: Docker on Cloud
Lecture 26 Docker Cloud
Lecture 27 Demo - Docker Cloud
Lecture 28 Notice on Docker Cloud
Lecture 29 Kubernetes Introduction
Lecture 30 Demo - Kubernetes on Google Cloud Platform
Lecture 31 Demo - Play with Kubernetes
Lecture 32 Course Deck
Lecture 33 Conclusion
Lecture 34 Bonus Lecture: Checkout Other Courses
System Admins,Software Developers,IT Professionals,DevOps Engineers



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