Using Docker on AWS faq

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Learn how to use Docker on AWS to manage and deploy your container workloads. Get familiar with the CLI tools, Amazon ECS, Fargate, Kubernetes (EKS), and the ECR image repository service to maximize your efficiency.

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Go to class

Course Feature

costCost:

Free Trial

providerProvider:

Pluralsight

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

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 [March 06th, 2023]

(Please note the following content is from the official provider.)
Get yourself up to speed running your Docker workloads on AWS. Learn the CLI tools you'll need to manage containers using ECS - including Amazon's managed container launch type, Fargate - and Kubernetes (EKS) and the ECR image repo service.
Need a platform that lets you reliably collaborate with your team through all your project's phases and iterations? Looking to take advantage of the power of lightweight, cloud-ready containers for your production deployment? Consider Docker. No matter what your experience level, Using Docker on Amazon Web Service (AWS) will get you up and running with Docker containers, dockerfiles, image repositories (through both Docker Hub and AWS's EC2 Container Repository), and managing containers through the EC2 Container Service (ECS). In this course, Using Docker on AWS, you'll first explore Docker on AWS at a high level, learning how the parts work together by assembling all the basic pieces of a Docker infrastructure on an EC2-based Linux instance, including installation, simple Dockerfiles and Docker Hub images. Next, you'll learn about building a cluster environment, including how all the moving parts can be brought together in a real, publicly accessible deployment. Finally, you'll wrap up the course by learning how to work with Docker images and registries. By the end of this course, you'll have learned foundational knowledge of both the theory and practice of using using Docker on AWS.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
Learners can learn how to use Docker on AWS to build a reliable platform for collaboration with their team. They can learn how to use the CLI tools to manage containers using ECS, Fargate, and Kubernetes (EKS). They can also learn how to build a cluster environment, including how to assemble all the parts of a Docker infrastructure on an EC2-based Linux instance. Additionally, learners can learn how to work with Docker images and registries, including installation, simple Dockerfiles, and Docker Hub images. Finally, they can learn how to deploy their Docker workloads on AWS and take advantage of the power of lightweight, cloud-ready containers for their production deployment.

[Applications]
This course provides a comprehensive introduction to using Docker on AWS. After completing this course, learners will have a foundational understanding of the theory and practice of using Docker on AWS. They will be able to create a Docker infrastructure on an EC2-based Linux instance, build a cluster environment, and work with Docker images and registries. Learners will also be able to use the CLI tools to manage containers using ECS, Fargate, and Kubernetes (EKS), as well as the ECR image repo service. With this knowledge, learners will be able to apply their skills to create reliable, cloud-ready containers for their production deployments.

[Career Paths]
Career Paths:
1. DevOps Engineer: DevOps engineers are responsible for managing the development, testing, and deployment of applications and services on AWS. They must be knowledgeable in both the development and operations sides of the business, and must be able to work with both teams to ensure that applications and services are deployed and maintained in a secure and efficient manner. DevOps engineers must also be familiar with the various AWS services, such as EC2, ECS, and EKS, and must be able to configure and manage them.

2. Cloud Architect: Cloud architects are responsible for designing and implementing cloud-based solutions on AWS. They must be knowledgeable in the various AWS services, such as EC2, ECS, and EKS, and must be able to design and implement solutions that are secure, scalable, and cost-effective. Cloud architects must also be familiar with the various AWS tools and services, such as CloudFormation, CloudWatch, and CloudTrail, and must be able to configure and manage them.

3. Cloud Security Engineer: Cloud security engineers are responsible for ensuring the security of applications and services on AWS. They must be knowledgeable in the various AWS security services, such as IAM, CloudTrail, and CloudWatch, and must be able to configure and manage them. Cloud security engineers must also be familiar with the various AWS tools and services, such as CloudFormation, CloudTrail, and CloudWatch, and must be able to configure and manage them.

4. Data Engineer: Data engineers are responsible for designing and implementing data solutions on AWS. They must be knowledgeable in the various AWS data services, such as Redshift, DynamoDB, and S3, and must be able to design and implement solutions that are secure, scalable, and cost-effective. Data engineers must also be familiar with the various AWS tools and services, such as CloudFormation, CloudWatch, and CloudTrail, and must be able to configure and manage them.

Developing Trends:
1. Automation: Automation is becoming increasingly important in the DevOps and cloud engineering space, as it allows for faster and more efficient deployments and management of applications and services. Automation tools such as Ansible, Chef, and Puppet are becoming increasingly popular, and are being used to automate the deployment and management of applications and services on AWS.

2. Infrastructure as Code: Infrastructure as code (IaC) is becoming increasingly popular in the DevOps and cloud engineering space, as it allows for faster and more efficient deployments and management of applications and services. IaC tools such as Terraform and CloudFormation are becoming increasingly popular, and are being used to automate the deployment and management of applications and services on AWS.

3. Containers: Containers are becoming increasingly popular in the DevOps and cloud engineering space, as they allow for faster and more efficient deployments and management of applications and services. Container technologies such as Docker and Kubernetes are becoming increasingly popular, and are being used to automate the deployment and management of applications and services on AWS.

4. Serverless Computing: Serverless computing is becoming increasingly popular in the DevOps and cloud engineering space, as it allows for faster and more efficient deployments and management of applications and services. Serverless technologies such as AWS Lambda and Azure Functions are becoming increasingly popular, and are being used to automate the deployment and management of applications and services on AWS.

[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science is a great way to gain the skills and knowledge needed to work with Docker on AWS. This degree program will provide students with a comprehensive understanding of computer science fundamentals, including programming languages, operating systems, computer architecture, and software engineering. Additionally, students will learn about cloud computing, distributed systems, and container technologies, such as Docker. This degree program will also provide students with the opportunity to develop their skills in problem-solving, critical thinking, and communication.

2. Master's Degree in Cloud Computing: A Master's Degree in Cloud Computing is an ideal degree path for those looking to specialize in working with Docker on AWS. This degree program will provide students with a comprehensive understanding of cloud computing fundamentals, including cloud architecture, distributed systems, and container technologies. Additionally, students will learn about cloud security, scalability, and performance optimization. This degree program will also provide students with the opportunity to develop their skills in problem-solving, critical thinking, and communication.

3. Certificate in Cloud Computing: A Certificate in Cloud Computing is a great way to gain the skills and knowledge needed to work with Docker on AWS. This certificate program will provide students with a comprehensive understanding of cloud computing fundamentals, including cloud architecture, distributed systems, and container technologies. Additionally, students will learn about cloud security, scalability, and performance optimization. This certificate program will also provide students with the opportunity to develop their skills in problem-solving, critical thinking, and communication.

4. Professional Certificate in Cloud Computing: A Professional Certificate in Cloud Computing is an ideal degree path for those looking to specialize in working with Docker on AWS. This certificate program will provide students with a comprehensive understanding of cloud computing fundamentals, including cloud architecture, distributed systems, and container technologies. Additionally, students will learn about cloud security, scalability, and performance optimization. This certificate program will also provide students with the opportunity to develop their skills in problem-solving, critical thinking, and communication.

Course Provider

Provider Pluralsight's Stats at AZClass

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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 course with confidence!

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