Master Docker Advanced Real-Time Deployment & Automation
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.65 GB | Duration: 5h 23m
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.65 GB | Duration: 5h 23m
Master Docker, Build & Deploy Containers, Automate with Terraform, Orchestrate using Docker Swarm, Secure & Monitor Apps
What you'll learn
Gain hands-on expertise, from understanding Docker architecture and running basic commands to mastering advanced topics like multi-stage builds, pushing images
Learn to deploy real-time applications using Docker Compose and Docker Swarm. Set up multi-node clusters, understand RAFT consensus, manage container placement
Implement critical security and health practices like Docker secrets, configs, and health checks.
Achieve cloud-native deployments by automating infrastructure using Terraform and deploying scalable, production-ready services with container orchestration.
Requirements
Linux Basics
No Programming Experience Needed
Description
This course is designed for developers, DevOps engineers, system administrators, and IT professionals who want to master Docker and containerization technologies. Whether you're new to Docker or looking to deepen your knowledge, this course offers real-world, hands-on experience, covering everything from Docker basics to advanced orchestration with Docker Swarm, deployment automation, and monitoring solutions.If you're aiming to build, manage, and deploy scalable applications in cloud environments, or you want to enhance your skills in container orchestration, cloud-native deployments, and DevOps workflows, this course is for you. It’s also ideal for those preparing for DevOps roles, cloud certifications, or those wanting to confidently handle real-time tasks in production environments.Throughout the course, you’ll not only learn concepts but also practice using Docker in real-world scenarios, ensuring you’re job-ready. With step-by-step guidance and practical examples, this course simplifies complex topics, making it easier for learners from any background to follow and implement.Additionally, the course covers important aspects like Docker networking, volumes, multi-stage builds, and using Terraform for automated deployments. You’ll also gain knowledge on how to deploy secure, scalable applications using Docker Swarm. By the end of this course, you will have the practical skills to confidently work with Docker in real-world projects, making you an asset in any cloud or DevOps team.
Overview
Section 1: Introduction
Lecture 1 01 Docker Intro with Commands
Lecture 2 Changing Docker Default's Directory with EBS Volumes.
Lecture 3 Docker Volumes-Bindmounts-Portainer
Lecture 4 Docker Files 01
Lecture 5 DockerFile Part 2
Lecture 6 Docker MultiBuild
Lecture 7 Docker Compose
Lecture 8 Docker Swarm 01
Lecture 9 Docker Secrets
Lecture 0 Ingress-Controllers
Lecture 10 Senario Based Questions
Lecture 11 ELK stack with Docker Containers
Lecture 12 Integrating PagerDuty with Prometheus and Slack
Docker with realtime tasks,his course is designed for developers, DevOps engineers, system administrators, and IT professionals who want to master Docker and containerization technologies. Whether you're new to Docker or looking to deepen your knowledge, this course offers real-world, hands-on experience, covering everything from Docker basics to advanced orchestration with Docker Swarm, deployment automation, and monitoring solutions. If you're aiming to build, manage, and deploy scalable applications in cloud environments, or you want to enhance your skills in container orchestration, cloud-native deployments, and DevOps workflows, this course is for you. It's also ideal for those preparing for DevOps roles, cloud certifications, or simply seeking to boost their expertise in modern application delivery pipelines. By the end of this course, you'll be equipped with the practical skills to manage containerized applications in production environments and handle real-time scenarios confidently.