Two Major Models of running containers in AWS from Coursera

Welcome to this Project about “Two Major Models of running Containers in AWS”. This Project will be focusing on one of the many types of computing in AWS, called “Container Computing”. To understand the benefits of AWS Products and services, which relates to Containers, you need to understand what ‘Containers’ are and what benefits ‘Container Computing’ Provides. In this Project, you are going to get a chance to make a ‘Container’.

If you are looking to deploy applications across multiple machines and platforms, Containers and virtual machines (VMs) are two of the top approaches in use today. Both can help your IT team become more agile and responsive to business demands. Both are used to host applications. Before containers came along, the “virtual machine” was the technology of choice for optimizing server capacity, but Virtual Machines had some drawbacks.

I f you run a virtual machine, say with 4 GB RAM and 4 GB disk, the operating system can easily consume 60 - 70% of the disk and much of the available memory, leaving relatively little for application which run in those Virtual Machine. But Containerization handles things in a different way. Instead of running a whole ‘operating System’ for each application, containers run as a process. So if you could run 5 applications using ‘Virtualization’, you will be able to run 15 applications using ‘Containerization’.

This Project will help you to learn different ways of running “containers” in AWS. There are two different ways to run “containers” in AWS. One is using “EC2 instance” and other using “ECS Fargate”.So this Project has two major parts. In the first part, you will learn to create a docker image and test that image by running on a container, and once you verified your docker image works, you are going to upload it to “DockerHub”, which is a popular online resource for uploading docker images for others to access, either public or specific private individuals.In the second part of this project, you will learn to create an ECS cluster with Fargate cluster mode, and will deploy the container we created, into Fargate Cluster. So you are going to get some practical experience of how to deploy real container into a Fargate Cluster.

There is a lot to get through though. so let’s get started!!

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What's inside

Syllabus

Project Overview

This Project will help you to learn different ways of running “containers” in AWS. There are two different ways to run “containers” in AWS. One is using “EC2 instance” and other using “ECS Fargate”. So this Project has two major parts. In the first part, you will learn to create a docker image and test that image by running on a container, and once you verified your docker image works, you are going to upload it to “DockerHub”, which is a popular online resource for uploading docker images for others to access, either public or specific private individuals. In the second part of this project, you will learn to create an ECS cluster with Fargate cluster mode, and will deploy the container we created, into Fargate Cluster. So you are going to get some practical experience of how to deploy real container into a Fargate Cluster.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills in deploying resources on AWS

Perfect for learners who want to expand their knowledge of AWS

Provides hands-on experience with ECS Fargate

Taught by an instructor with real-world experience in the field

Leverages DockerHub for image sharing and storage

May require additional resources or expenses, such as subscriptions or exam fees

Reviews summary

Good introduction to docker and aws fargate

Learners say this course offers a good introduction to using Docker on AWS and AWS Fargate. They go on to say that this course provides a good foundation to containers. Overall, the feedback for this course is very positive.

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 Two Major Models of running containers in AWS with these activities:

Review Networking Basics

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Brush up on networking fundamentals to enhance your understanding of container networking.

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Review the OSI model.
Understand IP addressing and subnet masking.
Practice configuring basic network settings.

Organize Course Materials for Easy Reference

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Organizing course materials will enhance your ability to locate and review them during and after the course.

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Create a dedicated folder for course materials.
Subdivide the folder into logical sections.
File lecture notes, readings, and assignments accordingly.

Explore Docker's Documentation

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Review Docker's documentation to gain a solid understanding of its core concepts and best practices.

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Visit the Docker Documentation website.
Read through the 'Getting Started' guide.
Explore the 'Reference' section for in-depth information on Docker commands and features.

Four other activities

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Create and Run a Sample Docker Image

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Hands-on practice creating and running a Docker image will solidify your understanding of the process.

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Set up your local development environment.
Create a simple Dockerfile.
Build and run your Docker image.
Test your Docker image by making changes to its code and rebuilding it.

Join a Study Group

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Engaging in peer discussions will enhance your understanding and retention of course concepts.

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Find a study group or create one with fellow classmates.
Set regular meeting times.
Take turns leading discussions and presenting key concepts.

Design and Deploy a Sample Containerized Application

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Designing and deploying a containerized application will allow you to apply your knowledge and gain practical experience.

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Choose a simple application to containerize.
Create a Dockerfile for your application.
Build and push your Docker image to Docker Hub.
Deploy your containerized application to AWS using ECS.
Test your application and monitor its performance.

Build a Personal Container Registry

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Creating your own container registry will provide you with hands-on experience managing and storing Docker images.

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Choose a container registry platform.
Configure your registry and set up authentication.
Build and push a Docker image to your registry.
Test and verify the functionality of your registry.

Career center

Learners who complete Two Major Models of running containers in AWS will develop knowledge and skills that may be useful to these careers:

Researcher

Researchers conduct research on a variety of topics. This course could be useful for Researchers because it would teach them how to use containers to improve the efficiency and effectiveness of their research. This knowledge could help Researchers to conduct research more quickly and accurately.

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Educator

Educators teach students about a variety of subjects. This course could be useful for Educators because it would teach them how to use containers to improve the efficiency and effectiveness of their teaching. This knowledge could help Educators to create more engaging and interactive learning experiences for their students.

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Technical Writer

Technical Writers create documentation for technical products and services. This course could be useful for Technical Writers because it would teach them how to use containers to improve the quality and accuracy of their documentation. This knowledge could help Technical Writers to create documentation that is more clear, concise, and informative.

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Consultant

Consultants provide advice and guidance to organizations on a variety of topics. This course could be useful for Consultants because it would teach them how to use containers to improve the efficiency and effectiveness of their consulting services. This knowledge could help Consultants to provide more valuable advice and guidance to their clients.

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Project Manager

Project Managers plan, organize, and direct the activities of a project. This course could be useful for Project Managers because it would teach them how to use containers to improve the efficiency and effectiveness of their projects. This knowledge could help Project Managers to deliver projects on time, within budget, and to the required quality standards.

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Business Analyst

Business Analysts analyze business needs and design solutions to improve business processes. This course could be useful for Business Analysts because it would teach them how to use containers to improve the efficiency and effectiveness of their business processes. This knowledge could help Business Analysts to identify and implement solutions that improve the performance of their organizations.

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Security Engineer

Security Engineers design and implement security measures to protect computer systems and networks. This course could be useful for Security Engineers because it would teach them how to use containers to improve the security of their systems. This knowledge could help Security Engineers to protect their systems from cyberattacks and other security threats.

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Cloud Architect

Cloud Architects design and manage cloud computing environments. This course could be useful for Cloud Architects because it would teach them how to use containers to improve the performance and scalability of their cloud-based applications. This knowledge could help Cloud Architects to design and manage more efficient and effective cloud computing environments.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course could be useful for Machine Learning Engineers because it would teach them how to use containers to manage and deploy their models. This knowledge could help Machine Learning Engineers to improve the efficiency and scalability of their machine learning applications.

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Data Scientist

Data Scientists use data to solve business problems. This course could be useful for Data Scientists because it would teach them how to use containers to manage and process large datasets. This knowledge could help Data Scientists to improve the efficiency and accuracy of their data analysis.

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IT Manager

IT Managers plan, organize, and direct the activities of an organization's IT department. This course could be useful for IT Managers because it would teach them how to use containers to improve the efficiency and effectiveness of their IT operations. This knowledge could help IT Managers to reduce costs and improve the overall performance of their organizations.

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Systems Administrator

Systems Administrators manage and maintain computer systems. This course could be useful for Systems Administrators because it would teach them how to use containers to improve the efficiency and reliability of their systems. This knowledge could help Systems Administrators to reduce downtime and improve the overall performance of their systems.

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DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. This course could be useful for DevOps Engineers because it would teach them how to use containers to streamline the deployment and management of applications. This knowledge could help DevOps Engineers to improve the efficiency and reliability of their software delivery pipelines.

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Cloud Engineer

Cloud Engineers design, build, and manage cloud computing systems. This course could be useful for Cloud Engineers because it would teach them how to use containers to run applications in the cloud. This knowledge could help Cloud Engineers to improve the performance and scalability of their cloud-based applications.

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Software Engineer

Software Engineers analyze user needs and design, develop, test, deploy, maintain, and update software. This course may be useful for Software Engineers because it would teach them how to use containers to deploy applications across multiple machines and platforms. This knowledge could help Software Engineers to improve the efficiency and reliability of their software deployments.

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