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Docker & Cluster Deployment: A Practical Lab Guide - Basics!
Rating: 4.8 out of 5(37 ratings)
665 students

Docker & Cluster Deployment: A Practical Lab Guide - Basics!

Server Infra:: Step-by-step labs on Docker, Compose, and Swarm for DevOps, System, Network, Cloud, and SRE professionals
Created byMana Dowlatshahi Yeganeh
Last updated 10/2026
English

What you'll learn

  • Docker & Cluster Deployment
  • A Practical Lab Guide - Basics!
  • Fundamentals + Examples
  • Server Infra:: Step-by-step labs on Docker, Compose, and Swarm for DevOps, System, Network, Cloud, and SRE professionals
  • Docker to Production - Containers, Swarm Clusters and Ansible Automation Labs
  • Docker, Docker Swarm and Ansible Bootcamp - Build and Run Production Clusters
  • Master Docker, Docker Swarm and Ansible - Real Labs from the Basics to Clusters
  • Docker, Docker Swarm and Ansible - Complete Guide from Fundamentals to Clusters

Course content

51 sections • 345 lectures • 208h 20m total length

  • 01 Welcome to the Course What You Will Build and Learn3:24
  • 02 Containers vs Virtual Machines Why Docker Changed Deployment3:44
  • 03 Linux Essentials for Containers Shell, systemd, Firewall and SSH Keys6:51
  • 04 Install Docker on Ubuntu Step by Step4:10
  • 05 Install Docker on Rocky Linux and CentOS Stream4:45
  • 06 Docker Desktop on Windows and macOS Reference Steps3:55
  • 07 Your Lab Five Servers on a Private Network4:30
  • 08 Namespaces How a Container Gets Its Own World5:40
  • 09 Control Groups Limiting CPU and Memory5:33
  • 10 Image Layers and the Union Filesystem5:29
  • 11 Images and Containers Pull, Run, Stop and Remove5:05
  • 12 Inside a Running Container exec, logs, inspect and stats4:32
  • 13 Publishing Ports and Environment Variables5:00
  • 14 Volumes and Bind Mounts Keeping Data Safe4:54
  • 15 Container Networks How Containers Talk to Each Other4:45
  • 16 Restart Policies, Detached Mode and Cleanup4:50
  • 17 Meet the Sample App Running shopnotes by Hand5:53
  • 18 Troubleshooting Docker The Ten Most Common Errors6:27
  • 19 Your First Dockerfile FROM, RUN, COPY and CMD5:05
  • 20 Layers, Build Cache and .dockerignore5:34
  • 21 ENTRYPOINT vs CMD, ARG vs ENV, WORKDIR and EXPOSE5:40
  • 22 Multi-Stage Builds for Small Images5:15
  • 23 Image Best Practices Non-Root User, HEALTHCHECK, Labels and Linting5:19
  • 24 Tagging and Versioning Images Properly4:37
  • 25 Dockerize the Sample App Flask and nginx Images5:47
  • 26 Network Drivers bridge, host, none and macvlan6:09
  • 27 Container DNS and Service Discovery5:17
  • 28 How Port Publishing Really Works iptables and Firewalls6:09
  • 29 Volume Internals, Drivers and Backing Up Volumes5:56
  • 30 Logging Drivers and Resource Limits in Practice5:15
  • 31 Container Security Basics Users, Capabilities, Rootless Mode and Podman6:34
  • 32 Why Compose From Many Commands to One File6:08
  • 33 Services, Networks and Volumes in compose.yaml5:36
  • 34 Environment Files, Healthchecks and depends_on5:05
  • 35 Compose the Sample App Flask, PostgreSQL, Redis and nginx6:45
  • 36 Profiles, Override Files and Dev vs Prod Setups5:18
  • 37 Scaling, Updating and Debugging Compose Projects5:00
  • 38 Remote Docker Contexts and SSH from the Control Node4:48
  • 39 Docker Hub and Running Your Own Private Registry6:18
  • 40 Registry Authentication and Image Tagging Strategy5:13
  • 41 Scanning Images for Vulnerabilities with Trivy5:16
  • 42 CI Pipeline Build, Scan and Push on Every Commit with Gitea Actions6:56
  • 43 What Is Docker Swarm Managers, Workers and the Raft Quorum5:50
  • 44 Initialize a Three-Node Swarm on Ubuntu and Rocky5:37
  • 45 Services and Replicas Your First Clustered App5:09
  • 46 Overlay Networks and the Routing Mesh5:26
  • 47 Rolling Updates and Rollbacks4:44
  • 48 Node Management Labels, Constraints, Drain and Promote5:15
  • 49 Self-Healing in Action Killing Containers and Nodes5:05
  • 50 Troubleshooting Swarm Quorum Loss, Stuck Tasks and Network Issues6:25
  • 51 Stacks Deploying Compose Files to the Cluster5:02
  • 52 Secrets and Configs Passwords Out of Your Images5:34
  • 53 Deploy the Sample App as a Stack with the Private Registry5:56
  • 54 Traefik as the Cluster Entry Point Routing by Hostname6:06
  • 55 Monitoring the Cluster with Prometheus, cAdvisor and Grafana5:50
  • 56 Centralized Logs and Resource Limits for Services4:48
  • 57 Backup, Restore and Disaster Recovery of a Swarm5:59
  • 58 What Is Ansible Agentless Automation over SSH5:43
  • 59 Install Ansible and Build Your Inventory5:44
  • 60 Ad-Hoc Commands and Modules5:13
  • 61 Your First Playbook Tasks, Idempotence and Check Mode5:21
  • 62 Variables, Facts and Templates with Jinja25:45
  • 63 Handlers, Conditionals and Loops5:58
  • 64 Ubuntu and Rocky in One Playbook OS-Aware Automation5:38
  • 65 Roles Structuring Reusable Automation6:12
  • 66 Ansible Galaxy and Collections5:17
  • 67 Ansible Vault Encrypting Secrets5:28
  • 68 Tags, Error Handling, Blocks and Retries5:23
  • 69 Dynamic Inventory from the Cloud API6:06
  • 70 Managing Containers with the community.docker Collection5:28
  • 71 Testing Playbooks, Project Layout and Troubleshooting Ansible5:43
  • 72 Install Docker on Every Node with One Playbook6:40
  • 73 Build the Swarm Cluster Automatically5:52
  • 74 Deploy Stacks, Secrets and the Registry with Ansible6:03
  • 75 Rolling OS Patching of Swarm Nodes with Drain and Reactivate5:41
  • 76 Disaster Recovery Rebuild the Whole Cluster from Scratch5:21
  • 77 Capstone Part 1 From Blank Servers to a Running Cluster6:27
  • 78 Capstone Part 2 Ship the App, Update It and Survive a Node Failure7:02
  • 79 Course Wrap-up What You Learned and Where to Go Next3:20
  • Master Docker, Docker Swarm and Ansible - Real Labs from the Basics to Clusters0:03

Requirements

  • This course is designed for beginners and professionals who want to build a solid foundation in containerization and cluster deployment using Docker technologies. There are no advanced technical prerequisites, but a basic understanding of computer systems, networking concepts, and operating system fundamentals—especially Linux—is highly recommended. Familiarity with command-line interfaces (CLI) and simple shell commands will make it easier to follow along with practical exercises. Some prior exposure to software installation, system configuration, or virtual machines can be helpful but is not mandatory. Participants should have access to a computer or virtual environment capable of running Docker Desktop or Docker Engine, with administrative privileges to install and configure software components. A stable internet connection is required for downloading Docker packages, sample images, and lab resources. A curiosity-driven mindset, willingness to experiment, and readiness to learn by doing are the most valuable requirements for success in this course. Whether you are a student, aspiring DevOps professional, system administrator, network engineer, or cloud enthusiast, these basic prerequisites ensure you can smoothly engage with the hands-on labs and practical exercises that demonstrate how containers, orchestration, and cluster infrastructures work in real-world environments. No prior experience with Docker, containerization, or programming is required—this course starts from the fundamentals and builds your confidence step by step through guided, practical learning.

Description


Docker, Docker Compose, and Docker Swarm have revolutionized how modern applications are built, shipped, and deployed. Docker enables developers and engineers to package software into standardized units called containers, which run consistently across any environment — from a personal laptop to massive cloud servers. Containers eliminate the “it works on my machine” problem, ensuring smooth and predictable performance across development, testing, and production.

Docker Compose extends this capability by allowing multiple containers to work together as part of a single application. It helps define and manage multi-service environments easily through a simple configuration file. With Compose, complex applications made up of databases, APIs, and front-end services can be launched with a single command, improving efficiency and reliability for teams.

Docker Swarm, on the other hand, takes containerization to the next level by enabling clustering and orchestration. It allows engineers to combine multiple Docker hosts into a single virtual system, balancing workloads and ensuring high availability. Swarm makes scaling applications seamless, allowing organizations to handle growing demands without manual intervention.

Learning Docker and its ecosystem is no longer optional — it’s an essential skill for anyone involved in IT infrastructure, cloud computing, or DevOps engineering. Containers have become the foundation of modern software deployment and cloud-native architecture. Professionals who understand how to manage containerized environments gain a strong competitive edge, as these skills are now required across almost every technology-driven organization.

This knowledge is particularly valuable for Network Engineers, System Administrators, Cloud Engineers, DevOps Specialists, and Site Reliability Engineers (SREs). It also benefits developers who want to streamline their build and deployment pipelines. Understanding Docker’s architecture and orchestration tools opens the door to working efficiently with automation, microservices, and scalable cloud infrastructure.

The job market for professionals skilled in Docker, containerization, and DevOps practices continues to grow rapidly. Companies seek engineers who can manage scalable deployments, optimize resource usage, and maintain high reliability. Roles such as DevOps Engineer, Cloud Infrastructure Engineer, Container Platform Specialist, and SRE often list Docker and container orchestration as key competencies.

The future of computing is moving toward cloud-native, containerized, and distributed systems. Docker, Docker Compose, and Docker Swarm form the core of this transformation. By mastering these technologies, professionals position themselves at the forefront of the IT and cloud evolution — ready for the next wave of innovation in automation, microservices, and orchestration.



Who this course is for:

  • This course is ideal for anyone interested in understanding and working with modern container-based infrastructure — including Network Engineers, System Administrators, Cloud Engineers, DevOps professionals, Site Reliability Engineers (SREs), Developers, and IT students who want to strengthen their technical foundation. For system and network engineers, learning Docker provides a clear path to automating deployments, improving resource utilization, and simplifying configuration management. DevOps and SRE professionals can leverage Docker, Docker Compose, and Swarm to create consistent, repeatable, and scalable environments for application deployment and operations. Developers benefit by running their applications in isolated containers that mimic production, eliminating the “works on my machine” problem. Cloud engineers and architects will find Docker essential for designing efficient, portable, and platform-agnostic infrastructure across hybrid or multi-cloud environments. Even IT students and beginners will gain a future-proof skill set that bridges development and operations, aligning with modern industry trends. The reason to learn Docker and its ecosystem is simple — containerization has become a core standard in software deployment and cloud computing. Organizations of all sizes are adopting containerized workflows for speed, reliability, and scalability. Professionals with Docker and orchestration knowledge are in high demand for roles involving automation, cloud management, continuous integration, and infrastructure as code. Whether you aim to boost your career, modernize your skill set, or prepare for advanced technologies like Kubernetes and serverless platforms, learning Docker and Swarm today ensures you remain relevant and competitive in the rapidly evolving IT and DevOps landscape.

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