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Adem Hassine

Did you know that manual deployment processes can significantly delay application releases, causing inefficiencies in even the most agile teams?

This Guided Project was created to help DevOps enthusiasts and professionals build a modern, automated CI/CD pipeline for Dockerized applications.

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Did you know that manual deployment processes can significantly delay application releases, causing inefficiencies in even the most agile teams?

This Guided Project was created to help DevOps enthusiasts and professionals build a modern, automated CI/CD pipeline for Dockerized applications.

In this 1-hour long project-based course, you will learn how to build and configure Docker containers for any application, craft a CI/CD pipeline using GitHub Actions, and deploy a Dockerized application to a remote server using Docker Compose. To achieve this, you will create a production-ready CI/CD pipeline by containerizing a Spring Boot application, automating the build and push process to AWS Elastic Container Registry (ECR), and deploying the application to a cloud-hosted AWS EC2 environment.

This project is unique because it bridges theory with real-world DevOps challenges, helping you tackle common issues like slow manual deployments and ensuring operational consistency. To be successful in this project, you should be familiar with Docker, GitHub commands, and CLI. Whether you're looking to enhance your DevOps skills or solve real-world deployment inefficiencies, this project provides hands-on experience to set you apart.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Bridges theory with real-world DevOps challenges, helping learners tackle common issues like slow manual deployments and ensuring operational consistency
Requires familiarity with Docker, GitHub commands, and CLI, which may necessitate additional learning for some students
Automates the build and push process to AWS Elastic Container Registry (ECR), which is a valuable skill for cloud-based deployments
Deploys a Dockerized application to a cloud-hosted AWS EC2 environment, which is a common practice in modern software development
Uses GitHub Actions to craft a CI/CD pipeline, which is a popular tool for automating software workflows
Employs Docker Compose to deploy applications to a remote server, which is a useful tool for managing multi-container Docker applications

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Reviews summary

Practical docker ci/cd pipeline project

According to learners, this course offers a highly practical and hands-on experience in building a real-world CI/CD pipeline using Docker, GitHub Actions, and AWS. Many students found the integration of tools to be a significant strength. However, some reviewers noted that the pace is fast and the project assumes a certain level of prior familiarity with prerequisites like Docker and CLI. A notable number of users also reported encountering technical setup issues and errors, sometimes linked to outdated dependencies, which required additional troubleshooting outside the guided steps. Despite these challenges, it is widely considered a good introductory project for understanding the core CI/CD workflow.
Assumes prior tool familiarity.
"The course description says familiarity is needed, and they really mean it. Not for absolute beginners in Docker or CLI."
"Wish there was a bit more explanation for those less expert in Docker or command line interfaces."
"You definitely need to be comfortable with the command line and basic Docker concepts."
Provides a solid starting point.
"A great first project to get a feel for CI/CD principles and see them in action."
"Good basic introduction to building a pipeline, but you'll need more courses for depth on specific tools."
"Provides a solid foundation to build upon for more complex CI/CD workflows."
Excellent example of tool workflow.
"Seeing how GitHub Actions pulls it all together with Docker and AWS was really insightful."
"Effectively demonstrates integrating different DevOps tools into a functional CI/CD flow."
"Connected the dots between containerization and automated cloud deployment."
Offers practical pipeline building experience.
"Building the pipeline hands-on was the best part of the course, really solidified my understanding."
"Loved following along and seeing the CI/CD process come together with real tools."
"Gave me practical skills directly applicable to my job."
Moves quickly, requires focus.
"The pace was quite fast, had to pause frequently to keep up with the steps."
"Felt a bit rushed at times, especially when dealing with the AWS console."
"If you're not already familiar with the tools, be prepared to pause often."
Setup and errors can be frustrating.
"Spent a lot of time troubleshooting AWS permissions and config, wasn't straightforward."
"Ran into dependency issues that broke the build pipeline."
"Environment setup was the hardest part, took hours to fix errors not covered in the project."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build a CI/CD Pipeline with Docker: From Code to Deployment with these activities:
Review Docker Fundamentals
Reinforce your understanding of Docker concepts before diving into CI/CD pipelines. A solid foundation in Docker will make the course material easier to grasp.
Browse courses on Docker
Show steps
  • Review Docker images, containers, and networking.
  • Practice building and running simple Dockerfiles.
  • Familiarize yourself with Docker Compose basics.
Brush Up on GitHub Actions
Familiarize yourself with GitHub Actions syntax and workflows. Understanding GitHub Actions is crucial for building the CI/CD pipeline in this course.
Browse courses on Github Actions
Show steps
  • Explore GitHub Actions documentation and examples.
  • Create a simple workflow to automate a task in a GitHub repository.
  • Learn about different triggers and actions available in GitHub Actions.
Follow a Docker Compose Tutorial
Deepen your understanding of Docker Compose by following a hands-on tutorial. This will help you deploy multi-container applications more effectively.
Browse courses on Docker Compose
Show steps
  • Find a tutorial on deploying a multi-container application with Docker Compose.
  • Follow the tutorial step-by-step, paying attention to the configuration files.
  • Experiment with different Docker Compose options and settings.
Four other activities
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Containerize a Simple Application
Practice containerizing a simple application using Docker. This will solidify your understanding of Dockerfiles and containerization best practices.
Browse courses on Docker
Show steps
  • Choose a simple application (e.g., a basic web server or API).
  • Create a Dockerfile for the application, specifying the necessary dependencies and configurations.
  • Build and run the Docker image, testing the application thoroughly.
Document Your CI/CD Pipeline
Create a document that describes the CI/CD pipeline you built in the course. This will help you retain the information and explain the process to others.
Browse courses on CI/CD
Show steps
  • Outline the different stages of the CI/CD pipeline.
  • Describe the purpose of each stage and the tools used.
  • Include diagrams and screenshots to illustrate the process.
Contribute to a Docker-related Open Source Project
Contribute to an open-source project related to Docker or containerization. This will give you valuable experience working with real-world code and collaborating with other developers.
Browse courses on Docker
Show steps
  • Find an open-source project related to Docker or containerization on GitHub.
  • Identify a bug or feature request that you can contribute to.
  • Submit a pull request with your changes, following the project's contribution guidelines.
Automate Infrastructure Provisioning with Terraform
Extend the CI/CD pipeline to automate infrastructure provisioning using Terraform. This will allow you to deploy your application to a fully automated environment.
Browse courses on Terraform
Show steps
  • Learn the basics of Terraform and Infrastructure as Code.
  • Write Terraform code to provision the necessary infrastructure for your application (e.g., EC2 instances, VPCs, security groups).
  • Integrate Terraform into your CI/CD pipeline to automate infrastructure provisioning.

Career center

Learners who complete Build a CI/CD Pipeline with Docker: From Code to Deployment will develop knowledge and skills that may be useful to these careers:
DevOps Engineer
A DevOps Engineer is responsible for streamlining software development and deployment processes, which is directly related to what this course offers. This role involves building and maintaining CI/CD pipelines, automating infrastructure, and ensuring smooth application releases. This course provides a hands-on approach to creating a CI/CD pipeline for Dockerized applications, which is a crucial skill for a DevOps Engineer. By learning to containerize applications, automate build and push processes, and deploy to cloud environments via Docker Compose, the course sets learners up for success in managing production-ready systems. This is especially useful for those who wish to address the common problems faced in manual deployment systems, which this course addresses directly.
Cloud Engineer
Cloud Engineers manage and maintain cloud infrastructure, often using automation to deploy and manage software. This career path greatly benefits from understanding CI/CD pipelines and containerization, specifically Docker, which are the core competencies demonstrated by this course. The course lets the learner build and configure Docker containers, automate the build and push process, and deploy them to a cloud environment. A Cloud Engineer will appreciate the practical, hands-on experience this course provides, allowing them to manage applications effectively in cloud settings and address challenges such as slow deployments, which are tackled by this course's project. Completing this project will help the learner build a strong foundation for effectively managing cloud based projects.
Release Engineer
Release Engineers oversee the process of deploying software to production environments and strive for automation of this process. This role requires solid understanding of CI/CD pipelines, containerization, and deployment strategies which are all covered by this course. The project in the course demonstrates how to build a containerized application, automate using a CI/CD pipeline, and then deploy it to a cloud environment. This hands-on experience is indispensable to a Release Engineer who needs to tackle issues related to slow manual deployments and ensure stable, consistent releases. This course directly addresses the real-world DevOps challenges faced by a Release Engineer.
Software Developer
Software Developers create, test, and maintain software applications and need to understand how their code will be deployed. This course helps a Software Developer in understanding the practical aspects of deploying code using Docker and CI/CD pipelines. The course teaches how to containerize applications, automate the build and push process using GitHub Actions, and deploy those applications to a remote server. Understanding this process gives a Software Developer more power over the whole software lifecycle. Software Developers who wish to gain a better grasp of DevOps practices would find this project quite helpful, providing a hands-on approach to moving from development to deployment.
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems, including the deployment of applications and often deal with the challenges of managing manual processes and inefficiencies. This course provides direct experience with containerization and CI/CD, which greatly benefits a Systems Administrator. Through the hands-on project, learners can build and configure Docker containers, create CI/CD pipelines with GitHub Actions, and deploy applications to remote servers. The course is particularly valuable for Systems Administrators who are dealing with slow manual deployments and ensuring operational consistency. The practical nature of this course can be very helpful in a typical systems administration role.
Infrastructure Engineer
Infrastructure Engineers design, build, and maintain the IT infrastructure necessary for software applications to run, often working with CI/CD pipelines and cloud deployments. This course provides an applied approach to building and deploying containerized applications using a CI/CD pipeline, which is directly relevant to the responsibilities of an infrastructure engineer. This course specifically focuses on building and configuring Docker containers, automating the build using GitHub Actions, and deploying to an AWS EC2 environment using Docker Compose. The skills acquired in this hands-on project are especially useful for Infrastructure Engineers who must ensure smooth consistent deployments, and who are looking to address inefficiencies in their deployment processes.
Automation Engineer
Automation Engineers focus on automating processes in various parts of software development and deployment, with CI/CD pipeline management falling directly under the purview of this role. This course offers the hands-on experience of building and configuring Docker containers for any application, crafting a CI/CD pipeline with GitHub Actions, and deploying to a remote server. An Automation Engineer who takes this course will understand how to automate the build and push process using AWS Elastic Container Registry, and deploy using Docker Compose. This course provides the practical skills needed to tackle common automation problems, specifically in regards to deployment processes.
Platform Engineer
A Platform Engineer designs and maintains the underlying platform that software applications run on, including deployment and infrastructure automation. This course can be useful as it provides experience in building and configuring Docker containers, crafting a CI/CD pipeline using GitHub Actions, and deploying applications to a cloud-hosted AWS EC2 environment. A Platform Engineer utilizes their knowledge of CI/CD pipelines and containerization to automate deployments, manage infrastructure, and streamline workflows. This course can help a Platform Engineer understand how to tackle real-world problems like slow deployments and other inefficiencies, since it directly teaches how to build a production-ready pipeline from the ground up.
Site Reliability Engineer
Site Reliability Engineers work to ensure systems are reliable, scalable, and efficient by applying software engineering principles to operations. This course offers useful hands-on experience in building and configuring Docker containers, crafting CI/CD pipelines via GitHub Actions, and deploying applications to cloud servers. A Site Reliability Engineer would find this course valuable as they routinely handle deployment, automation, and infrastructure management. The course provides the opportunity to create a production-ready CI/CD pipeline, which helps tackle issues such as slow deployments, which this course directly addresses. This course may be useful to a Site Reliability Engineer.
Technical Project Manager
Technical Project Managers oversee software development and deployment projects, needing a grasp on the technical processes involved, including CI/CD pipelines and containerization. This course may be useful because it provides practical knowledge of building Docker containers, automating processes using GitHub Actions, and deploying applications to the cloud. This understanding allows a technical project manager to better understand the challenges and solutions their team might face. While the role is not hands-on, the understanding of these processes enhances a Technical Project Manager's ability to communicate with their team. This course may be useful for a technical project manager.
Software Architect
A Software Architect designs the high-level structure of software systems, which often includes deployment strategies. This course may be useful, as the hands-on experience with Docker and CI/CD pipelines allows a Software Architect to better understand the implications of their choices on the deployment process. The course will help the architect gain insights into containerization, automated build processes, and cloud deployments. This knowledge would allow a Software Architect to address real-world deployment challenges such as slow manual steps and improve operational consistency across the organization. This course may be useful to a Software Architect.
Software Consultant
Software Consultants advise clients on IT strategies and solutions, often including DevOps practices and deployment strategies. This course may be useful as it provides hands-on experience with building and deploying Docker containers, creating automated CI/CD pipelines, and deploying to a cloud environment. This experience can help a consultant communicate with clients on practical challenges and solutions, such as slow and error-prone manual deployments. The practical knowledge gained throughout this course helps ground their advice and recommendations. This course may be useful to a Software Consultant.
Backend Developer
Backend Developers focus on building the server-side logic and databases for applications and sometimes contribute in deployment. This course may be useful because it teaches how to build and configure Docker containers for any application, craft a CI/CD pipeline using GitHub Actions, and deploy to a remote server. Although not the primary responsibility of a Backend Developer, understanding the deployment process provides them more context in how their code is finally implemented. This course may be useful to a Backend Developer who wants a better understanding of DevOps processes and improve their own development environment.
Database Administrator
Database Administrators manage and maintain databases, and they may benefit from understanding the modern deployment strategies. This course may help because It introduces containerization with Docker and shows how to manage deployments using CI/CD pipelines. While the typical work of a database administrator is in data, there is a growing need to understand deployment and automation. This course may be useful for Database Administrators who are looking to understand how applications are deployed. In particular, the ability to use Docker to manage and automate deployments may become increasingly useful.
Network Engineer
Network Engineers design, implement, and manage computer networks which interact with the deployed software. This course may be helpful because it introduces modern deployment strategies such as Docker and CI/CD pipelines. While not at the core of a Network Engineer's role, understanding how applications are deployed can help a Network Engineer better design systems that support the deployment process. The concepts taught in this course can be valuable to Network Engineers who need to understand the infrastructure through which software applications operate. Therefore, this course may be helpful to a Network Engineer.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Build a CI/CD Pipeline with Docker: From Code to Deployment.
Demystifies container execution mechanics from packaging through distribution, providing concrete recipes for bind mounts, network bridging, and runtime isolation barriers.
Presents the results of a four-year study of high-performing technology organizations. It identifies the key factors that drive success, and it provides a roadmap for organizations that want to improve their performance.
Delivers an exceptionally accessible yet technically deep walkthrough of container runtimes, diving into containerd, rootless execution, image architecture, and Swarm clusters.
Authored by Microsoft MVPs and reviewed by a GitHub Staff DevOps Architect, this book offers a practical approach to building CI/CD pipelines with GitHub Actions. It covers essential topics like workflows, actions, security, and performance optimization. is valuable for both learning and as a reference tool for implementing real-world CI/CD practices.
Provides a comprehensive overview of AWS services, including EC2, and is specifically designed to prepare individuals for the AWS Certified Solutions Architect - Associate exam. It is highly relevant for gaining a broad understanding of how EC2 fits into the larger AWS ecosystem and is often used as a textbook or primary study resource for certification. It includes practice questions and an online learning environment, making it valuable for both learning and self-assessment.
Gathers 100+ proven patterns and diagnostic workflows, tackling real-world problems around automated container builds, minimal base images, build caching, and volume persistence.
Focused on the operational aspects of AWS, this study guide covers deploying, managing, and operating fault-tolerant systems on AWS. EC2 core component, and the book delves into practical EC2 management, monitoring, and troubleshooting. It's an excellent resource for those looking to deepen their understanding of running and maintaining EC2 instances in a production environment and is commonly used for the AWS Certified SysOps Administrator - Associate certification.
Guides engineers through a structured daily roadmap of practical container exercises, transitioning legacy monoliths into lightweight, containerized microservices step by step.
Presents high-availability architectural blueprints for distributed cloud systems, covering container clustering, horizontal autoscaling, load shedding, and resilience engineering.
Provides a comprehensive overview of continuous delivery, covering the principles, practices, and tools involved in automating the software release process. It is highly relevant to the topic of CI/CD pipelines, as it offers practical guidance on how to implement and manage a continuous delivery system.
Investigates defense-in-depth container security, detailing host kernel hardening, secure image supply chains, automated SBOM auditing, and runtime workload protection mechanisms.
Offers a deep dive into Amazon EC2, covering its core components, networking, security, storage options, and performance optimization. It moves from fundamentals to advanced concepts like containers, serverless, and hybrid cloud architectures. It's highly valuable for those seeking to master EC2 and build resilient applications, making it a strong reference for professionals and advanced students.
This handbook provides a step-by-step guide to implementing DevOps in your organization. It covers all aspects of DevOps, from planning to implementation to measurement, and it valuable resource for anyone looking to get started with DevOps.
A guide to developing cloud-native Java applications, covering topics such as microservices, serverless computing, and reactive programming.
A classic book on Java best practices, covering topics such as object-oriented design, concurrency, and performance.
Provides a comprehensive introduction to GitHub Actions, covering its core concepts, structure, syntax, and use cases. It's particularly helpful for those new to CI/CD and looking to understand how GitHub Actions fits into the software development lifecycle. The book includes practical examples and helps solidify foundational knowledge.
Furnishes pragmatic configuration recipes for systems administrators, tackling multi-container Compose orchestration, private registry management, and host storage performance.
Explores enterprise container operations at scale, walking through security vulnerability scanning, multi-node clustering, secrets rotation, and automated infrastructure monitoring.
Delves into more advanced aspects of GitHub Actions, suitable for those looking to deepen their understanding and explore complex scenarios. It covers reusable workflows, custom actions, integrating with external services, and enhancing security. It serves as a strong reference for experienced users and professionals.
Provides a hands-on approach to implementing CI/CD workflows using GitHub Actions. It covers implementation patterns, handling different technology stacks, and creating custom actions. It's a good resource for gaining practical experience and understanding the application of GitHub Actions in real projects.
Addresses cluster-wide container orchestration and automated rollouts, detailing Swarm scheduling algorithms, service discovery, overlay networks, and declarative stack manifests.
Unpacks the transition from standalone Docker engines to Kubernetes orchestration, exploring pod abstractions, deployment manifests, service mesh concepts, and resource governance.
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Focuses on the practical aspects of system administration on AWS, with a significant portion dedicated to managing and maintaining EC2 instances. It covers topics like monitoring, patching, and troubleshooting, making it a valuable resource for SysOps professionals and those in similar roles.
Likely focuses directly on implementing Continuous Integration and Continuous Delivery pipelines using GitHub Actions. It would be a practical guide for those specifically interested in the CI/CD aspects of GitHub Actions.
Practical guide to using Docker Compose in real-world projects. It includes a number of case studies and examples.
Covers the entire DevOps lifecycle, including CI/CD pipelines. It provides practical guidance on how to implement DevOps practices to improve software delivery performance and reliability.
Examines cloud-native patterns for containerized applications, illustrating twelve-factor design principles, health check probes, stateless service tiers, and persistent state stores.
Provides a comprehensive guide to deployment automation, a key part of the DevOps process. It covers the tools, techniques, and best practices for automating deployments, and it valuable resource for anyone looking to improve their deployment process.
Details automated build and release pipelines, showing how to trigger multi-stage container builds, run automated unit test runners, and publish versioned artifacts via Jenkins CI.
Introduces containerized developer environments, explaining how to synchronize local code volumes, configure live reloaders, and establish consistent development stacks across teams.
Focuses specifically on continuous integration, which key part of the CI/CD pipeline. It covers the principles and practices of continuous integration, including version control, automated testing, and continuous build.
Focuses on using Kubernetes to implement CI/CD pipelines for cloud-native applications. It covers the principles of CI/CD, as well as practical guidance on how to use Kubernetes tools to automate the software release process.
Provides a practical guide to using Jenkins to implement CI/CD pipelines. It covers the principles of CI/CD, as well as practical guidance on how to use Jenkins to automate the software release process.
Focuses on decomposing monolithic Java enterprise services into portable containers, illustrating service discovery, container communication, and load balancer configurations.
Focuses on leveraging GitHub as a comprehensive DevOps platform, with a significant portion dedicated to using GitHub Actions for continuous delivery. It's beneficial for understanding the broader context of DevOps within the GitHub ecosystem and how Actions contributes to accelerating software delivery.
While covering other AWS services, this book provides a hands-on approach to EC2, focusing on practical implementation and real-world scenarios. It's valuable for students and professionals who learn best by doing and want to see how EC2 integrates with other fundamental AWS services.
This study guide focuses on the development aspects of AWS, covering how developers can utilize services like EC2 for deploying and running applications. It provides a different perspective on EC2 usage compared to the Solutions Architect or SysOps roles and is valuable for developers looking to work with EC2.
A guide to using Spring Data JPA for data access, covering topics such as entity mapping, relationships, and performance tuning.
Provides a guide to continuous delivery on AWS. It covers the tools, techniques, and best practices for deploying and scaling AWS applications.
Provides a guide to site reliability engineering (SRE), a set of practices that helps organizations build and operate reliable systems. SRE key part of DevOps, and this book provides a valuable introduction to the field.
Walks through native container orchestration topologies, exploring consensus algorithms, service task distribution, ingress routing meshes, and fault-tolerant node failover.
Similar to a cookbook, this book provides practical solutions and recipes for common tasks on AWS, many of which involve EC2. It's a useful reference for quickly finding solutions to specific problems and implementing various EC2 configurations. Suitable for those with some basic AWS knowledge.
Bridges network perimeter security and container ingress, demonstrating how reverse tunneling and outbound-only mTLS connections eliminate open inbound firewall attack surfaces.
Connects container orchestration with developer application stacks, guiding engineers through containerizing microservices, wiring Terraform provisioning, and staging clusters.
Provides a guide to lean software development, a set of practices that helps organizations deliver software more quickly and efficiently. Lean software development key part of DevOps, and this book provides a valuable introduction to the field.
Focuses on using Python to implement CI/CD pipelines for machine learning projects. It covers the principles of CI/CD, as well as practical guidance on how to use Python to automate the machine learning pipeline.
While not solely focused on GitHub Actions, this book demonstrates its use in a practical GitOps workflow alongside Terraform and AWS. It's valuable for understanding how GitHub Actions integrates with other popular DevOps tools and cloud providers for infrastructure management and CI/CD.

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