DevOps: CSC 519
In this course, you will gain practical exposure to the skills, tools, and knowledge needed in automating software engineering processes and infrastructure necessary for continuous deployment of software. Students will have the chance to build new or extend existing software engineering tools and design an automated deployment pipeline.
Course Overview
In the course, a mixture of traditional lectures with activities and in-class workshops will be used. During lectures, we will cover core concepts related to a topic. During the in-class workshops, we will perform sample exercises with relevant tools that reinforce lecture material. Evaluation will be based on tech talks, homework assignments, workshop attendance, and final project.
After the course, students are able to:
- Programmatically provision images.
- Automatically apply configuration management to production environments.
- Automatically create and maintain build environments.
- Maintain test suites and measure testing quality and coverage.
- Automatically generate new tests, using feedback-directed random testing, fuzzing, and data-flow analysis.
- Programmatically measure code quality via static and dynamic code analysis.
- Understand components of infrastructure.
- Remotely regulate behavior of deployed software via feature flags and configuration servers.
- Apply advanced strategies for deployment of software.
- Monitor and analyze telemetry data.
- Implement resilience testing on production environments (e.g., Chaos Monkey).
Schedule and Topics—Spring 2020
Location: Monteith Engineering Research Center, Room 0313, 1:30-2:45pm.
The following schedule is subject to change.
Watch Lecture Videos.
| Class | Topics | Resources | Assignments |
|---|---|---|---|
| ➡️ | Setup | 🥾Engineering Basics 🥾 | |
| Jan 7 | Intro+Computing Environments | ||
| Jan 9 | Provisioning | Cloud Providers | HW0 |
| 🧱 Computing Environments ☢️ | |||
| Jan 14 | Core concepts | ||
| Jan 16 | Virtualization | ||
| Jan 21 | Containers and microvms (from scratch) | ||
| Jan 23 | Docker/Building | ||
| 🚰 Pipelines 🚀 | |||
| Jan 28 | Pipelines, CI/CD | ||
| Jan 30 | Building Basic Pipelines | ||
| Feb 4 | Jenkins | ||
| Feb 6 | Jenkins | ||
| ⚗️ Configuration Management 🎛️ | |||
| Feb 11 | CM | ||
| Feb 13 | Ansible | ||
| Feb 18 | Ansible | ||
| Feb 20 | Slim/Packer | ||
| 🧪 Testing+Analysis ✅ | |||
| Feb 25 | Testing | ||
| Feb 27 | Testing (*) | ||
| Mar 3 | Analysis | ||
| Mar 5 | Analysis | ||
| Mar 9--13 | 🌱SPRING BREAK 🌱 | ||
| 🚧 Infrastructure 🏗️ | |||
| Mar 17 | Infrastructure concepts | ||
| Mar 19 | Redis | ||
| Mar 24 | Deploy Strategies | ||
| Mar 26 | Clusters | ||
| 📈 Ops 🧯 | |||
| Mar 31 | Monitoring (*) | ||
| Apr 2 | Monitoring (*) | ||
| Apr 7 | Incidents | ||
| Apr 9 | Incidents | ||
| 🎬 Closing 💯 | |||
| Apr 14 | Resilience engineering | ||
| Apr 16 | Chaos engineering | ||
| Apr 21 | Demos | ||
| Apr 23 | Demos | ||
| May 5 | Final Exam (1:00--4:00pm) | ||
Project
The primary objective of the course will be to allow students to gain experience in incrementally building a continous delivery pipeline from scratch. Throughout the semester, students are expected to complete a component of the pipeline by each milestone deadline.
Milestones
Details on requirements for milestones will be released throughout the course. A student's pipeline should demonstrate the following components by the milestone deadline:
[ CM ] -> [ BUILD+TEST+ANALYSIS ] -> [ DEPLOY ] -> [ SPECIAL ]
Communication channels
Papers
Books
- Effective DevOps
- Ansible: Up and Running
- Continous Delivery
- Continous Integration
- Designing Data-Intensive Applications
- Systems Performance: Enterprise and the Cloud
- The Practice of Cloud System Administration
- DevOps: A Software Architect's Perspective, SEI