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Noah Gift, Kennedy Behrman, and Matt Harrison

Throughout this course, you'll explore virtualization, containerization, and Kubernetes, mastering the very tools that power data engineering in the industry. Each week presents a new set of tools and platforms that are indispensable in data engineering. From mastering Docker and Kubernetes to exploring advanced topics such as AI-driven coding with GitHub Copilot, efficient container image management with Azure and Amazon Elastic Container Registries, and Site Reliability Engineering (SRE) practices, you'll go beyond the basics and acquire the expertise needed to thrive in the dynamic and data-driven landscape of advanced data engineering. Whether you're a current student looking to expand your skills or a working professional aiming to take your expertise to the next level, this course is tailored to equip you with the advanced knowledge and hands-on experience necessary for success.

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What's inside

Syllabus

Virtualization Theory and Concepts
This week, you will learn about the fundamentals of virtualization, exploring its various aspects such as hardware utilization and scaling applications. You will start by understanding what virtualization is and delve into the concept of virtual machines. Through the introduction of Virtual Box and a hands-on demo, you will gain a practical understanding of how virtual machines work and their benefits. Additionally, you will explore container concepts, focusing on Docker as a key containerization tool. Through an introduction to Docker and its architecture, you will learn how to scale applications using containers, providing a comprehensive overview of virtualization and its practical applications. To apply your newfound knowledge, you will be assessed through a series of hands-on exercises involving the creation and management of virtual machines and containers, demonstrating your ability to effectively utilize virtualization technologies.
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Using Docker
This week, you will learn how to effectively work with the Docker client, create volumes, and run databases in containers, gaining hands-on experience in managing containerized applications. You will also explore how to use the Docker command line for tasks such as building images and working with Dockerfiles, enabling you to package your software efficiently. You'll get a chance to study real-life Dockerfile examples and consult the Dockerfile reference for best practices. Furthermore, you will dive into orchestration with Docker Compose, learning how to manage multi-container applications using Compose. As an extension to this, you will be introduced to Airflow, a workflow management platform, and learn how to integrate it with Docker Compose for a seamless automation experience.
Kubernetes: Container Orchestration in Action
In this week, you will embark on a comprehensive journey into Kubernetes, the cornerstone of modern container orchestration. You'll begin by grasping Kubernetes key concepts, cluster architecture, and service deployments. The advantages of cloud development environments, exemplified by GitHub Codespaces, will become more clear as you explore GitHub's ecosystem and harness AI-driven coding with GitHub Copilot and OpenAI Codewhisper. The week culminates in hands-on experience as you deploy Kubernetes using Minikube within GitHub Codespaces. Gain a solid foundation in Kubernetes essentials and the power of cloud-based development, setting the stage for successful containerized application management and collaborative coding in the modern era.
Building Kubernetes Solutions
Week 4 immerses you in the hands-on world of Kubernetes solutions. You'll start by mastering containerization, constructing FastAPI microservices, and deploying containerized applications using Azure Container Registry and Amazon Elastic Container Registry. Next, explore options for cloud-based container orchestration, featuring Google Cloud Run and AWS Copilot, and expand your coding horizons in AWS Cloud9. Finally, address critical production issues as you delve into load testing, monitoring systems, the SRE mindset for MLOps, and the art of operationalizing microservices. This week offers a comprehensive toolkit to navigate Kubernetes in real-world scenarios, combining theory and practice to prepare you for Kubernetes success.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course teaches how to effectively work with containers, which is standard in industry
Taught by professionals who are recognized for their work in containerization
Develops skills in Docker and Kubernetes, which are core skills for advanced data engineering
Covers a variety of topics, from virtualization theory to Site Reliability Engineering practices
Offers hands-on labs and interactive materials
May require familiarity with software and hardware used in data engineering

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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 Virtualization, Docker, and Kubernetes for Data Engineering with these activities:
Brush Up on Docker Basics
Kickstart your Docker literacy by refreshing your understanding of the basics before diving into more advanced topics.
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  • Review Docker Architecture and Terminology
  • Practice Creating and Running Docker Images
  • Explore Docker Commands and Options
  • Implement Docker for Packaging and Deploying Applications
Virtualization Concepts Review
Reviewing foundational virtualization concepts will help solidify understanding as more complex concepts are introduced
Browse courses on Virtualization
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  • Revisit virtualization theory and concepts
  • Explore different virtualization techniques and applications
Find a Mentor in the Kubernetes Community
Finding a mentor in the Kubernetes community will provide access to expert guidance and support.
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  • Join Kubernetes forums and user groups
  • Attend Kubernetes events and conferences
21 other activities
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Review core CS fundamentals
Review the core concepts of computer science such as data structures and algorithms to understand and work with Kubernetes effectively.
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  • Review books and online resources on data structures and algorithms.
  • Practice solving algorithm problems on platforms like LeetCode or HackerRank.
Study Group on Advanced Containerization
Engaging in peer-to-peer discussions and problem-solving will reinforce concepts and foster collaboration
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  • Find a study group or create your own
  • Establish regular meeting times and discussion topics
  • Prepare and present on assigned topics
  • Collaboratively solve problems and share insights
Read Kubernetes in Action
Reading Kubernetes in Action will provide an in-depth understanding of the concepts and implementation of Kubernetes.
View Kubernetes in Action on Amazon
Show steps
  • Read the book thoroughly
  • Complete the exercises and examples
Attend a Kubernetes Workshop
Attending a Kubernetes workshop will provide an opportunity to learn from experts and engage in hands-on exercises.
Browse courses on Kubernetes
Show steps
  • Research and find a suitable Kubernetes workshop
  • Register and attend the workshop
Build containers using Docker
Practice creating and managing containers using Docker to gain hands-on experience in working with containerization technologies.
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  • Install Docker on your local machine.
  • Create a Dockerfile for a simple application.
  • Build and run the Docker image.
Master Kubernetes with Guided Tutorials
Take your Kubernetes proficiency to the next level by working through hands-on tutorials that guide you through real-world scenarios.
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  • Set Up a Kubernetes Cluster Using Minikube
  • Deploy and Manage Containerized Applications with Kubernetes
  • Implement Load Balancing, Service Discovery, and Autoscaling
  • Monitor and Troubleshoot Kubernetes Clusters
Hands-on Docker Exercise
Gaining practical experience with Docker will help students apply concepts and prepare for future assignments
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Show steps
  • Set up Docker environment and install necessary tools
  • Build and run a simple Docker image
  • Explore Docker commands and features
Build and Run Simple Docker Containers
Building and running simple Docker containers will provide practical experience with the fundamentals of containerization.
Browse courses on Docker Containers
Show steps
  • Set up Docker on your system
  • Create a simple Dockerfile
  • Build and run your first Docker container
Attend a Kubernetes workshop
Participate in a workshop led by industry experts to gain practical experience in deploying and managing Kubernetes clusters.
Browse courses on Kubernetes
Show steps
  • Research and identify upcoming Kubernetes workshops.
  • Register for a workshop and attend all sessions.
Attend a Kubernetes Workshop
Dive deeper into Kubernetes through an immersive workshop, gaining exposure to real-world scenarios and best practices from industry experts.
Browse courses on Kubernetes
Show steps
  • Identify Relevant Kubernetes Workshops
  • Register and Participate in a Workshop
  • Engage with Instructors and Peers
  • Apply Workshop Learnings to Your Projects
DevOps Best Practices Workshop
Attending a DevOps workshop will expose students to industry best practices and provide insights into real-world applications
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Show steps
  • Research and identify relevant DevOps workshops
  • Register and attend the workshop
  • Actively participate in discussions and exercises
Create a Kubernetes Cluster on AWS
Creating a Kubernetes cluster on AWS will provide hands-on experience with container orchestration and cloud infrastructure.
Browse courses on Kubernetes
Show steps
  • Set up an AWS account
  • Create a Kubernetes cluster using EKS
  • Deploy a simple application to your cluster
Contribute to a Kubernetes Open Source Project
Contributing to a Kubernetes open source project will provide real-world experience and the opportunity to make a meaningful impact on the Kubernetes community.
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Show steps
  • Identify a Kubernetes open source project
  • Find an issue or feature to work on
  • Submit a pull request
Explore advanced Kubernetes concepts
Go beyond the basics of Kubernetes by exploring advanced concepts such as service meshes, Helm charts, and cluster autoscaling to enhance your understanding of container orchestration.
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Show steps
  • Follow online tutorials on service meshes like Istio or Linkerd.
  • Package and deploy applications using Helm charts.
  • Configure cluster autoscaling to optimize resource utilization.
Practice Kubernetes Deployments
Reinforce your Kubernetes skills by dedicating time to focused drills and exercises that target deployment strategies.
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Show steps
  • Deploy Applications Using Different Deployment Strategies
  • Handle Blue-Green and Rolling Updates
  • Implement Strategies for High Availability and Failover
  • Monitor and Troubleshoot Deployment Issues
  • Optimize Deployment Performance
Kubernetes Cluster Deployment Project
Deploying a Kubernetes cluster will provide students with hands-on experience and reinforce their understanding of Kubernetes principles
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  • Design and plan your Kubernetes cluster
  • Set up necessary infrastructure and tools
  • Deploy the Kubernetes cluster
  • Configure and manage your Kubernetes cluster
  • Monitor and troubleshoot your Kubernetes cluster
Develop a Kubernetes Deployment Plan
Developing a Kubernetes deployment plan will provide an opportunity to apply your understanding of Kubernetes to a practical scenario.
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  • Define the deployment requirements
  • Design the Kubernetes architecture
  • Implement the deployment plan
Build a Microservices Architecture with Docker and Kubernetes
Apply your knowledge by building a complete microservices architecture using Docker and Kubernetes, gaining practical experience in designing and implementing modular systems.
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  • Design and Plan the Microservices Architecture
  • Create and Dockerize the Microservices
  • Integrate with Kubernetes for Orchestration and Management
  • Configure Service Discovery and Communication
  • Implement Load Balancing and Autoscaling
Contribute to an Open-Source Containerization Project
Contributing to an open-source containerization project will provide practical experience, foster collaboration, and enhance understanding of industry practices
Browse courses on Open Source
Show steps
  • Identify suitable open-source containerization projects
  • Review project documentation and codebase
  • Propose and submit a code contribution
  • Collaborate with project maintainers and review feedback
  • Celebrate your contribution and share your experience
Mentor Junior Data Engineers
Solidify your understanding of advanced data engineering concepts by sharing your knowledge and guiding junior engineers.
Browse courses on Mentoring
Show steps
  • Identify Opportunities to Mentor
  • Prepare Materials and Lesson Plans
  • Conduct Mentoring Sessions
  • Provide Feedback and Support
  • Evaluate and Refine Mentoring Approach
Deploy a Microservices Architecture Using Kubernetes
Deploying a microservices architecture using Kubernetes will provide practical experience in designing and implementing complex systems.
Browse courses on Kubernetes
Show steps
  • Design the microservices architecture
  • Develop the microservices
  • Deploy the microservices using Kubernetes

Career center

Learners who complete Virtualization, Docker, and Kubernetes for Data Engineering will develop knowledge and skills that may be useful to these careers:
Full Stack Engineer
Full-Stack Engineers are responsible for designing, developing, and maintaining both the front-end and back-end of software applications. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern full-stack development. By learning how to use these technologies, you will be able to develop and deploy full-stack applications more efficiently and effectively. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software systems. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern software development. By learning how to use these technologies, you will be able to develop and deploy software applications more efficiently and effectively. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern data engineering. By learning how to use these technologies, you will be able to develop and deploy data pipelines more efficiently and effectively. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern DevOps. By learning how to use these technologies, you will be able to automate the software development and deployment process, making it more efficient and reliable. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
Site Reliability Engineer (SRE)
Site Reliability Engineers (SREs) are responsible for ensuring the reliability and performance of software systems. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern SRE. By learning how to use these technologies, you will be able to develop and deploy software systems more reliably and efficiently. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
Cloud Engineer
Cloud Engineers are responsible for designing, building, and maintaining cloud infrastructure. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern cloud computing. By learning how to use these technologies, you will be able to develop and deploy cloud-based applications more efficiently and effectively. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
IT Architect
IT Architects are responsible for designing and overseeing the implementation of IT systems. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern IT architecture. By learning how to use these technologies, you will be able to design and implement IT systems more efficiently and effectively. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
Systems Engineer
Systems Engineers are responsible for designing, building, and maintaining computer systems. This course will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern systems engineering. By learning how to use these technologies, you will be able to develop and deploy computer systems more efficiently and effectively. Additionally, the hands-on exercises and projects in this course will give you valuable experience that you can use in your job search.
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern software development. By learning how to use these technologies, you will be able to better understand the technical aspects of product development and make more informed decisions.
Technical Writer
Technical Writers are responsible for creating documentation for software and other technical products. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern software development. By learning how to use these technologies, you will be able to better understand the technical aspects of software products and write more accurate and informative documentation.
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to meet those needs. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern business. By learning how to use these technologies, you will be able to better understand the technical aspects of business analysis and make more informed recommendations.
Technical Support Engineer
Technical Support Engineers are responsible for providing technical support to customers. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern software and hardware. By learning how to use these technologies, you will be able to better understand the technical problems that customers are experiencing and provide more effective support.
IT Manager
IT Managers are responsible for managing IT departments and ensuring that their organizations have the technology they need to succeed. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern IT. By learning how to use these technologies, you will be able to better understand the technical needs of your organization and make more informed decisions about IT investments.
IT Consultant
IT Consultants are responsible for advising clients on how to use technology to improve their businesses. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern business. By learning how to use these technologies, you will be able to better understand the technical needs of your clients and provide more effective advice.
Data Scientist
Data Scientists are responsible for extracting knowledge from data. This course may be useful in this role, as it will help you build a foundation in virtualization, containerization, and Kubernetes, which are essential technologies for modern data science. By learning how to use these technologies, you will be able to better manage and analyze large datasets.

Reading list

We've selected eight 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 Virtualization, Docker, and Kubernetes for Data Engineering.
Provides a comprehensive overview of Kubernetes, covering its architecture, key concepts, and practical implementation. It valuable resource for anyone looking to gain a deeper understanding of Kubernetes and its use in container orchestration.
Provides a thorough introduction to Docker, covering its core concepts, installation, and usage. It helpful resource for anyone looking to get started with Docker and containerization.
Provides insights into Google's Site Reliability Engineering (SRE) practices, which are essential for maintaining可靠性and availability of large-scale distributed systems. It valuable resource for anyone looking to implement SRE practices in their own organization.
Provides a comprehensive overview of Kubernetes, covering its architecture, components, and use cases. It helpful resource for anyone looking to gain a deeper understanding of Kubernetes and its applications.
Provides a hands-on approach to learning Kubernetes, with a focus on practical examples and use cases. It valuable resource for anyone looking to gain practical experience with Kubernetes.
Provides a practical guide to working with Docker, covering topics such as image management, container orchestration, and security. It useful resource for anyone looking to implement Docker in a production environment.
Provides a deep dive into the internals of Kubernetes, covering topics such as scheduling, networking, and storage. It valuable resource for anyone looking to gain a comprehensive understanding of Kubernetes.
Provides a hands-on introduction to deep learning using Python. It helpful resource for anyone looking to get started with deep learning.

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