This course provides you with the experience and skills necessary to deploy, manage, and ensure the quality of a modern software application. This includes automated testing at all levels, continuous integration and deployment pipelines, application monitoring, failure detection, alerting, and elastic application scaling.
The content for this course is represented by the following parts.
- Overview
- 📅 Schedule - Lecture and assignment due dates
- 📘 Instruction - Modules and topics
- 🍕 JWT Pizza - QA and DevOps mastery target
- Assignments and deliverables are submitted through Canvas
{"id":"c4a3c902-38d2-4e23-ac1a-8b1695c61b75", "title":"Course Outcomes", "type":"likert", "showResults":"editor", "required":"true"}
By the end of the course you can expect the following outcomes in your personal development. Where are you currently with the outcomes?
Scale: Beginner|Intermediate|Proficient|Advanced|Expert
| id | statement |
|----|-----------|
|Automation|**Automation**: Design and implement automated testing and delivery workflows, valuing disciplined practices that foster trust, quality, and continuous improvement.|
|Observability|**Observability**: Analyze software systems using evidence and metrics, cultivating intellectual humility and informed judgment.|
|Collaboration|**Collaboration**: Collaborate effectively with peers to improve software quality and delivery, developing habits of respect, accountability, and Christlike service.|
|Leadership|**Leadership**: Evaluate the practical and ethical implications of QA and DevOps decisions, strengthening integrity and responsible stewardship of technology and its impact on others.|
|Learning|**Learning**: Assess emerging tools and practices in quality assurance and DevOps, fostering lifelong learning, curiosity, and creativity while magnifying the ability to serve and bless others.|
The instruction makes extensive use of GitHub, Amazon Web Services, and Grafana. Without these tools the course would not be possible.
The authors drew considerably from content provided by Google's Site Reliability Engineering team, Grafana Labs tutorials, and the AWS Developer Center. We express our sincere gratitude for the many hours of work to the individuals at these fine companies for their freely available efforts.
We truly stand on the shoulders of giants.