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Introduction
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DevOps
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What is DevOps
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Epic failures
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Poor quality products
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How Microsoft became agile
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Microsofts journey into DevOps
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Trade off features for productivity
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Azure stats
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Change the story
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Key habits
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Listening to customers
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Customer feedback
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Visual Studio
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Measure important KPIs
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Iterating over pain
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Twoyear cycles
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Safety net
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Stabilization phase
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Technical debt
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Threeweek sprints
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Paying back technical debt
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Technical debt is risk
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Release vs Sprint
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Feature Flags
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What could go wrong
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Microsofts policy
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Production mindset
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Live site mindset
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Transparency
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Automation
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Automate everything
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Traditional model
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Azure Devops
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Big environments
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Speed vs control
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Alignment vs autonomy
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Autonomy mastery and purpose
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Team structure
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Team size
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Team forming exercises
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Proportional representation
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consort cadence
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focus
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alignment
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stay in sync
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Questions
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Quality
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Test plans
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Test matrix
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Cloud first
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Incremental rollout
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Learn from failure
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One sprint a time
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Progress always follows the J curve
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What changed for the Azure DevOps team
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One step at a time
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a transformative journey in this conference talk detailing Microsoft's Azure DevOps Services' evolution from a three-year waterfall delivery cycle to three-week iterations. Learn how the tech giant open-sourced the Azure DevOps task library and Git Virtual File System, demonstrating that significant organizational change is achievable. Discover key insights from Microsoft's successes and failures in adopting Scrum, Agile, and Continuous Delivery methodologies. Gain valuable knowledge about implementing DevOps practices, addressing epic failures, improving product quality, and fostering a culture of customer-centric development. Understand the importance of measuring crucial KPIs, iterating over pain points, and managing technical debt effectively. Delve into topics such as feature flags, production mindset, transparency, and automation. Examine team structures, size considerations, and alignment strategies. Explore quality assurance techniques, cloud-first approaches, and incremental rollouts. Embrace the concept of learning from failure and progressing one sprint at a time, recognizing that meaningful change often follows a J-curve pattern. Read more

Agile Evolution - An Enterprise Transformation That Shows That You Can Too

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