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Develop an understanding of containerized environments while working with Docker.
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Develop an understanding of containerized environments, use Docker to share and store containers, and deploy a Docker container to AWS Elastic Kubernetes Service using the CI/CD pipeline.
Basic Computer Programming, Basic SQL
Describe and explain the benefits and use cases for containerized environments. Install Docker on a local machine and define a container environment using a Dockerfile.Download and launch a Docker container. Store and share a docker container.
Introduce AWS and commonly used services: S3, EC2, and IAM. Create AWS resources using both AWS console and AWS command-line interface (CLI). Describe and explain container orchestration—how it works and the general use case. Describe and explain how Kubernetes manages container clusters. Create an EKS Cluster using AWS console and Eksctl (CLI)and manage Kubernetes clusters using the Kubectl (CLI).
Deploy an application to the EKS cluster. Use Cloudformation to create AWS resources using a YAML script. Implement an end-to-end continuous integration (CI) and continuous delivery (CD) pipeline using AWS CodePipeline and AWS CodeBuild services.
Create a container for a Flask web app using Docker and deploy the container to a Kubernetes cluster using Amazon EKS. By the end of the project, you will have deployed your application live to the world, where it should be accessible by IP address. You'll use automated testing to prevent bad code from being deployed and monitor their app’s performance using AWS tools.
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Kennedy is a veteran consultant and author, specializing in architecting and implementing cloud solutions for early-stage startups. He is experienced in data engineering, data science, AWS solutions, and engineering management.
Develop an understanding of containerized environments while working with Docker.
On average, successful students take 1 month to complete this program.
No. This Course accepts all applicants regardless of experience and specific background.
To be successful in this program learners should have basic knowledge of computer programming, SQL, web development, command line interface, identity and access management, and relational databases. Additionally, learners should have a solid understanding of Git, object-relational mapping, and REST APIs.
This course is comprised of content and curriculum to support one project. We estimate that students can complete the program in one month.
The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
Learners will need access to VSCode, Git, AWS CLI, EKSCTL, KUBECTL, Terminal or WSL/GitBash, Docker Desktop, and Python.