Course Description
This course will provide students with a comprehensive hands-on introduction to DevOps Pipelines (Plan, Develop, Build, Test, Deploy, Monitor). The course will begin with a brief introduction to systems administration and a development framework that will be used throughout the course for the DevOps pipeline. Students will have to develop a small application which will be
used as a vehicle to implement the DevOps pipeline.
Course Content
1. Basic Server Administration
2. Basic Web Development
3. DevOps Pipeline/Workflow
4. Central Source Control
5. Automated Build Systems
6. Automated Testing
7. Automated Deployment
8. Monitoring and Reporting on DevOps Pipeline outcomes
Learning Activities
Lecture, seminar and hands-on exercises in the lab
Means of Assessment
Assessment will be based on course objectives and will be carried out in accordance with the Douglas College Evaluation Policy.
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Assignments /Project(s)
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10-25%
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Quiz(es)
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10-20%
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Midterm Examinationc*
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25-35%
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Final Examination*
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25-40%
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Total
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100%
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Some of these assessments may involve group work.
* Minimum 75% practical hands-on midterm and final exam
To pass the course, students must, in addition to receiving an overall course grade of 50%, also achieve a grade of at least 50% on the combined weighted examination components (including quizzes, tests, exams).
Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with college policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.
Learning Outcomes
Upon successful completion of the course, students will be able to:
1. Identify and explain the philosophy and culture behind DevOps.
2. Apply system administration basics to all components of the DevOps Pipeline.
3. Apply Basic Web development.
4. Select and implement relevant technologies to the DevOps Pipeline.
5. Apply Source Control Systems to the DevOps Pipeline (ex. Git).
6. Apply and implement Cloud-based systems to the DevOps pipeline.
7. Apply and implement Automated testing to the DevOps pipeline.
8. Select, design, and implement modern virtualization components such as docker/Kubernetes.
9. Apply and implement Security Development Operations to the DevOps Pipeline.
Textbook Materials
Instructor provided material and/or textbooks approved by the department