Your DevOps Journey: Amplifying Feedback
- 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 feedbackdiscuss the scenario where the Microsoft VSO team had to find a way to make and release necessary changes to address instabilitydescribe how the Microsoft VSO addressing instability scenario is an example of how to establish mechanisms that can help to identify problems as they occuridentify problems as they occuridentify the importance of pushing quality closer to the sourcedescribe the importance of optimizing for downstream workflowdefine telemetry metrics, monitoring, and alertingdiscuss telemetry from an architectural standpointdescribe the levels of telemetry architecture in order to think in terms of the types of information that you are capturingdiscuss the role played by alerting in automation
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describe various system monitoring tools and their usesdiscuss the role played by log aggregation toolsdescribe common DevOps metricsdiscuss how telemetry can be used to anticipate problemsdescribe how telemetry information can help to understand whether problems occur during deploymentdiscuss how hypothesis-driven deployment can be leveraged to guide developmentdescribe the Microsoft VSO hypothesis-driven deployment scenariodiscuss takeaways from the Microsoft VSO hypothesis-driven development scenariodescribe A/B testing and how it relates to hypothesis-driven development
IN THIS COURSE
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1.The Second Way: Feedback3m 9sUP NEXT
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2.MS VSO Addressing Instability Case Study51s
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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
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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