Using Docker on AWS with the Command Line faq

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instructor Instructor: David Clinton instructor-icon
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Learn how to use Docker on AWS with the command line to manage containers using Amazon's ECS, Fargate, EKS, and ECR services. Gain the skills to efficiently run your Docker workloads on AWS.

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Pluralsight

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English

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On-Demand

Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This course, Using Docker on AWS with the Command Line, is designed to help you get up to speed with running your Docker workloads on Amazon Web Services (AWS). You will learn the command line interface (CLI) tools you need to manage containers using Amazon's Elastic Container Service (ECS), including the managed container launch type, Fargate, and Kubernetes (EKS). You will also learn how to use the Elastic Container Registry (ECR) image repository service.

By the end of this course, you will have a good understanding of the basics of Docker and how to use the CLI tools to effectively manage clusters and application workloads on Amazon's Elastic Container Service (ECS), the EKS Kubernetes orchestrator, and container images through both Docker Hub and the Elastic Container Registry (ECR).

This course is designed for anyone who wants to learn how to use Docker on AWS. It is suitable for developers, system administrators, DevOps engineers, and anyone else who wants to learn how to use Docker on AWS. No prior experience with Docker or AWS is required.

In this course, you will learn the basics of Docker, including how to install and configure Docker on AWS. You will also learn how to use the AWS CLI, docker, ecs-cli, eksctl, and kubectl to manage clusters and application workloads on Amazon's Elastic Container Service (ECS), the EKS Kubernetes orchestrator, and container images through both Docker Hub and the Elastic Container Registry (ECR).

By the end of this course, you will have a good understanding of the basics of Docker and how to use the CLI tools to effectively manage clusters and application workloads on Amazon's Elastic Container Service (ECS), the EKS Kubernetes orchestrator, and container images through both Docker Hub and the Elastic Container Registry (ECR). You will also have the skills and knowledge to deploy high-performing and resource-efficient applications to a reliable and predictable environment.

[Applications]
Upon completion of this course, learners will be able to use the command line to effectively manage Docker workloads on AWS. They will be able to use the AWS CLI, docker, ecs-cli, eksctl, and kubectl to manage clusters and application workloads on Amazon's Elastic Container Service (both EC2 and Fargate launch types), the EKS Kubernetes orchestrator, and container images through both Docker Hub and the Elastic Container Registry (ECR). Learners will also be able to deploy high-performing and resource-efficient applications to a reliable and predictable environment.

[Career Paths]
Career Paths:
1. DevOps Engineer: DevOps Engineers are responsible for managing the development, deployment, and operations of applications and services. They use a variety of tools and technologies, including Docker, to ensure that applications are running smoothly and efficiently. DevOps Engineers are in high demand, as they are essential for organizations to stay competitive in the digital age.

2. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. They must be knowledgeable in a variety of cloud technologies, including Docker, to ensure that applications are running optimally on the cloud. Cloud Architects are in high demand, as organizations are increasingly relying on cloud-based solutions for their business operations.

3. Container Engineer: Container Engineers are responsible for managing and deploying containerized applications. They must be knowledgeable in a variety of container technologies, including Docker, to ensure that applications are running optimally in the container environment. Container Engineers are in high demand, as organizations are increasingly relying on containerized applications for their business operations.

4. Kubernetes Engineer: Kubernetes Engineers are responsible for managing and deploying applications on the Kubernetes platform. They must be knowledgeable in a variety of Kubernetes technologies, including Docker, to ensure that applications are running optimally on the Kubernetes platform. Kubernetes Engineers are in high demand, as organizations are increasingly relying on Kubernetes for their business operations.

Developing Trends:
1. Automation: Automation is becoming increasingly important in DevOps, Cloud, Container, and Kubernetes engineering. Automation tools, such as Ansible and Terraform, are being used to automate the deployment and management of applications and services.

2. Infrastructure as Code: Infrastructure as Code (IaC) is becoming increasingly important in DevOps, Cloud, Container, and Kubernetes engineering. IaC tools, such as Terraform and CloudFormation, are being used to define and manage infrastructure as code.

3. Container Orchestration: Container Orchestration is becoming increasingly important in DevOps, Cloud, Container, and Kubernetes engineering. Container Orchestration tools, such as Kubernetes and Docker Swarm, are being used to manage and deploy containerized applications.

4. Serverless Computing: Serverless Computing is becoming increasingly important in DevOps, Cloud, Container, and Kubernetes engineering. Serverless Computing tools, such as AWS Lambda and Azure Functions, are being used to deploy and manage applications without the need for servers.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Students will also learn about the latest trends in cloud computing, such as Docker and AWS, and how to use them to develop and deploy applications.

2. Master of Science in Cloud Computing: This degree program provides students with an in-depth understanding of cloud computing technologies, such as Docker and AWS, and how to use them to develop and deploy applications. Students will also learn about the latest trends in cloud computing, such as serverless computing, and how to use them to create and manage cloud-based applications.

3. Master of Science in Data Science: This degree program provides students with a comprehensive understanding of data science fundamentals, including data mining, machine learning, and data visualization. Students will also learn about the latest trends in cloud computing, such as Docker and AWS, and how to use them to develop and deploy data-driven applications.

Developing Trends:
1. Serverless Computing: Serverless computing is a cloud computing model that allows developers to deploy applications without having to manage the underlying infrastructure. This model is becoming increasingly popular as it allows developers to focus on building applications instead of managing servers.

2. Containers: Containers are a form of virtualization that allow developers to package applications and their dependencies into a single unit that can be deployed and run on any platform. Containers are becoming increasingly popular as they allow developers to quickly and easily deploy applications on any platform.

3. Artificial Intelligence: Artificial intelligence (AI) is a form of computer science that enables machines to learn from data and make decisions. AI is becoming increasingly popular as it allows developers to create applications that can learn from data and make decisions without human intervention.

Course Provider

Provider Pluralsight's Stats at AZClass

Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Docker skills no matter in career or in further education. Even if you are only slightly interested, you can take Using Docker on AWS with the Command Line course with confidence!

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1. What is the main focus of the course 'Using Docker on AWS with the Command Line'?

2. Which of the following tools are used in the course 'Using Docker on AWS with the Command Line'?

3. Which of the following services are used in the course 'Using Docker on AWS with the Command Line'?

4. What is ECR?

Correct Answer: It is the Elastic Container Registry.

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Q1: Does the course offer certificates upon completion?

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