IBM

DevOps Capstone Project

This course is part of multiple programs.

John Rofrano
Upkar Lidder

Instructors: John Rofrano

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Course

Gain insight into a topic and learn the fundamentals

4.8

(84 reviews)

Intermediate level

Recommended experience

15 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify user requirements, write user stories, create and execute sprint plans.

  • Build an application composed of several microservices and employ containers and serverless for running apps in Cloud.

  • Develop test cases and test your app during various stages of its lifecycle; utilize CI/CD tools to update and deploy your app.

  • List several next steps for starting or enhancing your career as a DevOps professional.

Details to know

Earn a career certificate

Add to your LinkedIn profile

Assessments

12 quizzes

Taught in English

Course

Gain insight into a topic and learn the fundamentals

4.8

(84 reviews)

Intermediate level

Recommended experience

15 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from IBM
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There are 6 modules in this course

Before starting this module, ensure that you have a basic understanding of Agile planning and Scrum, as well as a GitHub account and a Zenhub account. This module focuses on developing an Agile plan to create a RESTful microservice. You will complete this project over several sprints using various Agile, cloud-native, and CI/CD tools and technologies. You will begin by creating a GitHub repository for the project and adding this repository to your Kanban board. Next, you will build a user story template in GitHub, which you will later use to write well-structured user stories. Then, you will build your product backlog on the Kanban board. After finishing your product backlog, you will build your sprint plan.

What's included

1 video4 readings2 quizzes2 plugins

In this module, you will complete Sprint 1 by configuring the capstone project environment and developing the Customer Account microservice using test driven development (TDD). Start development of the microservice on a new branch on your GitHub repo. You will create tests for the RESTful Flask service and write test cases for the read, update, delete, and list functions. to pass these tests. As you develop, you will run nosetests to ensure at least 95% coverage. As your work progresses, you will move the user stories through your kanban board.

What's included

3 readings2 quizzes1 app item1 plugin

Before starting this module, ensure that you have completed all the steps described in the Hands-on Lab: Develop Your RESTful Service Using Test Driven Development. In addition, you should have a GitHub account and a GitHub repository, a basic understanding of YAML, familiarity with the syntax for GitHub Actions, and a basic knowledge of Python, Pip, and nosetests. In Lesson 1, you will add a continuous integration workflow using GitHub Actions, which will help you automate the building and testing of your code. You will start by building a plan for Sprint 2 in the guided instructional lab, Sprint 2 Planning. Next, in the Add Continuous Integration hands-on lab, you will configure a GitHub Actions workflow that will be triggered when an event occurs in your repository. As part of Sprint 2, you will create a workflow that will build and test every push or pull request to your repository. You will be moving the corresponding user stories through your kanban board as your work progresses. Before starting Lesson 2, ensure that you have completed all the steps described in the Hands-on Lab: Add Continuous Integration. In addition, you should have a basic understanding of security headers, cross-origin resource sharing (CORS) policies, Flask-Talisman, and Flask-Cors. You should also have a good understanding of test driven development (TDD) techniques, GitHub Actions, and GitHub operations (branching, merging, committing code, pushing code updates, and creating pull requests). In Lesson 2, you will add secure code practices for the microservice you built by adding Flask-Talisman for security headers and Flask-Cors to establish CORS policies. To begin, you will assign the relevant story created for this task to yourself and start working on a new branch created for this specific task. To align with TDD practices, you will first write the test case for the security feature you are trying to implement. Once you have added Flask-Talisman for security headers and Flask-Cors to establish CORS policies, commit and push your changes to the repository and make a pull request that will kick off the GitHub Action. You will move the corresponding user stories through your kanban board as your work progresses.

What's included

5 readings4 quizzes2 app items1 plugin

Before starting this module, ensure that you have completed all the steps described in the Hands-on Lab: Add Security to Your RESTful Service. In addition, you should have a basic understanding of Docker and containerization, Docker commands, Kubernetes and OpenShift, YAML, kubectl, and oc commands. You should have a GitHub account and a GitHub repository, and you should be familiar with the syntax for GitHub Actions. As part of Sprint 3, you will create a Docker image of your microservice and deploy the same to Kubernetes/OpenShift cluster manually. You will first find the “Containerize your microservice using Docker” story in the kanban board, move it to "In Progress," and assign it to yourself. Next, you will create the Docker file and then use it to build a Docker image called accounts. You will deploy this image to Kubernetes/OpenShift as part of the next user story, “Deploy your Docker image to Kubernetes.” You will create new branches for both stories and begin working on them. Once the tasks are completed, you will commit and push your changes from your local environment to your GitHub repository. Finally, you will create pull requests and merge your code to the main or master branch. You will move the corresponding user stories through your kanban board as your work progresses. When you complete a story, you will move it to "Done" and from there to "Closed."

What's included

3 readings2 quizzes1 app item1 plugin

Before starting this module, ensure that you have completed all the steps described in the Hands-on Lab: Deploy Your Application to Kubernetes. In addition, you should have a basic understanding of Kubernetes and continuous delivery, Tekton pipeline, YAML, kubectl, and oc commands. You should have a GitHub account and a GitHub repository, and you should be familiar with the syntax for GitHub Actions. For the lab in this module, you will automate the deployment to Kubernetes using the Tekton pipeline so that when the pipeline is triggered, the accounts service will be deployed to Kubernetes without requiring any manual intervention. To start, you will find the user story "Create a CD pipeline to automate deployment to Kubernetes" in the kanban board, move it from the "Sprint Backlog" to "In Progress," and assign it to yourself. Next, you will create the CD pipeline, involving tasks for cloning, linting, unit testing, building, and deploying the service to an OpenShift/Kubernetes cluster. You will also create a Tekton trigger using the Tekton Catalog, such as a commit to your GitHub repository, which will initiate the pipeline run. You will create a new branch for this story and start working on it. Once the task is completed, you will commit and push your changes from your local environment to your GitHub repository. Finally, you will create pull requests and merge your code to the main or master branch. You will move the corresponding user stories through your kanban board as your work progresses. When you complete a story, you will move it to "Done" and from there to "Closed."

What's included

3 readings2 quizzes1 app item

In this final module, you will complete your submission of screenshots from the hands-on labs for your peers to review and provide URLs for your REST endpoints and GitHub repo links so your peers can review your code. Once you have completed your submission, you will review and grade one of your peers' submissions.

What's included

2 readings1 peer review

Instructors

Instructor ratings
4.8 (22 ratings)
John Rofrano

Top Instructor

IBM
7 Courses185,320 learners
Upkar Lidder
IBM
13 Courses302,077 learners

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IBM

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