Virtualization, Docker, and Kubernetes for Data Engineering from Coursera

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.

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

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

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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

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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

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Finding a mentor in the Kubernetes community will provide access to expert guidance and support.

Browse courses on Kubernetes

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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

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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

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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

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Reading Kubernetes in Action will provide an in-depth understanding of the concepts and implementation of Kubernetes.

View Kubernetes in Action on Amazon

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Read the book thoroughly
Complete the exercises and examples

Attend a Kubernetes Workshop

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Attending a Kubernetes workshop will provide an opportunity to learn from experts and engage in hands-on exercises.

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Research and find a suitable Kubernetes workshop
Register and attend the workshop

Build containers using Docker

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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

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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

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Gaining practical experience with Docker will help students apply concepts and prepare for future assignments

Browse courses on Docker

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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

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Building and running simple Docker containers will provide practical experience with the fundamentals of containerization.

Browse courses on Docker Containers

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Set up Docker on your system
Create a simple Dockerfile
Build and run your first Docker container

Attend a Kubernetes workshop

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Participate in a workshop led by industry experts to gain practical experience in deploying and managing Kubernetes clusters.

Browse courses on Kubernetes

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Research and identify upcoming Kubernetes workshops.
Register for a workshop and attend all sessions.

Attend a Kubernetes Workshop

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Dive deeper into Kubernetes through an immersive workshop, gaining exposure to real-world scenarios and best practices from industry experts.

Browse courses on Kubernetes

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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

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Attending a DevOps workshop will expose students to industry best practices and provide insights into real-world applications

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Research and identify relevant DevOps workshops
Register and attend the workshop
Actively participate in discussions and exercises

Create a Kubernetes Cluster on AWS

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Creating a Kubernetes cluster on AWS will provide hands-on experience with container orchestration and cloud infrastructure.

Browse courses on Kubernetes

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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

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Contributing to a Kubernetes open source project will provide real-world experience and the opportunity to make a meaningful impact on the Kubernetes community.

Browse courses on Kubernetes

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Identify a Kubernetes open source project
Find an issue or feature to work on
Submit a pull request

Explore advanced Kubernetes concepts

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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.

Browse courses on Kubernetes

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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

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Reinforce your Kubernetes skills by dedicating time to focused drills and exercises that target deployment strategies.

Browse courses on Kubernetes

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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

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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

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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

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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

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Contributing to an open-source containerization project will provide practical experience, foster collaboration, and enhance understanding of industry practices

Browse courses on Open Source

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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

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Solidify your understanding of advanced data engineering concepts by sharing your knowledge and guiding junior engineers.

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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

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Deploying a microservices architecture using Kubernetes will provide practical experience in designing and implementing complex systems.

Browse courses on Kubernetes

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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.

See salaries and explore the career path for Full Stack Engineer

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.

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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.

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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.

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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.

See salaries and explore the career path for Site Reliability Engineer (SRE)

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Virtualization, Docker, and Kubernetes for Data Engineering

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