Your DevOps Journey: Amplifying Feedback
DevOps
| Beginner
- 19 videos | 1h 8m 16s
- Includes Assessment
- Earns a Badge
Feedback often gets overlooked in lieu of the pace at which business moves, but organizations ignore the importance of feedback at their own peril. In this course, you'll learn how DevOps thrives by amplifying feedback, beginning with the principles and practices of amplifying feedback and the importance of identifying problems as they occur. Then you'll discover the importance of pushing quality closer to the source, optimizing for downstream workflow, telemetry metrics, monitoring, and alerting, telemetry from an architectural standpoint, and levels of telemetry architecture. Finally, you'll explore the role played by alerting in automation, system monitoring tools and their uses, log aggregation tools, DevOps metrics, how telemetry can be used to anticipate problems, hypothesis-driven deployment, and A/B testing and how it relates to hypothesis-driven development. This course was originally created by Global Knowledge (GK).
WHAT YOU WILL LEARN
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describe the principles and practices of amplifying feedback
discuss the scenario where the Microsoft VSO team had to find a way to make and release necessary changes to address instability
describe how the Microsoft VSO addressing instability scenario is an example of how to establish mechanisms that can help to identify problems as they occur
identify problems as they occur
identify the importance of pushing quality closer to the source
describe the importance of optimizing for downstream workflow
define telemetry metrics, monitoring, and alerting
discuss telemetry from an architectural standpoint
describe the levels of telemetry architecture in order to think in terms of the types of information that you are capturing
discuss the role played by alerting in automation -
describe various system monitoring tools and their uses
discuss the role played by log aggregation tools
describe common DevOps metrics
discuss how telemetry can be used to anticipate problems
describe how telemetry information can help to understand whether problems occur during deployment
discuss how hypothesis-driven deployment can be leveraged to guide development
describe the Microsoft VSO hypothesis-driven deployment scenario
discuss takeaways from the Microsoft VSO hypothesis-driven development scenario
describe A/B testing and how it relates to hypothesis-driven development
IN THIS COURSE
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3m 9s
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51s
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3. MS VSO Addressing Instability Debrief1m 5s
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4. Identifying Problems as they Occur2m 30s
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5. Pushing Quality Closer to the Source3m 53s
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6. Optimizing for Downstream Workflow2m 57s
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7. Telemetry: Metrics, Monitoring, Alerting8m 9s
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8. Telemetry Architecture Layers3m 31s
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9. Telemetry Architecture Levels5m 51s
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10. Create Alerts5m 15s
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11. System Monitoring Tools - Introduction1m 35s
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12. The Role of Log Aggregation Tools5m 31s
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13. Common DevOps Metrics6m 18s
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14. Using Telemetry To Anticipate Problems5m 40s
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15. Feedback For Safe Deployment of Code6m 54s
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16. Hypothesis-Driven Development2m 46s
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17. MS VSO Hypothesis-Driven Development Case Study38s
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18. MS VSO Hypothesis-Driven Development Debrief24s
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19. A/B Testing1m 20s
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