InfoQ Homepage Agile Content on InfoQ
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Extreme Pipelines
Cory Jett, William Marchlewski discuss how Mastercard built a CF pipeline, the current state, and what the future holds for automation.
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Escape the Feature Factory with Outcome-oriented Roadmaps
Lisa Doan, Jeanette Head, Hadrien Raffalli discuss the conflict between production teams who prefer an agile process and stakeholders who want cleat schedules and outcome.
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Building Resilience in Production Migrations
Sangeeta Handa shares Netflix’s migration stories, what helped them build resilience, why resilience is important, and what Netflix Billing Infrastructure is doing to avoid taking downtime.
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Scaling Slack - The Good, the Unexpected, and the Road Ahead
Mike Demmer talks about the major changes that Slack has made to the service architecture to meet the needs for larger and larger enterprise customers.
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Scaling Agile Transformation in a Waterfall Enterprise
Ryan Johnson discusses common issues and solutions to them for teams moving from a waterfall approach to an agile one.
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Tea Ceremonies: Steeping IT Ops in Your Developer's Hot Water
Olaf Gradin shares Fiserv’s experience working with Pivotal Application Service, what worked and what didn’t.
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Full Cycle Developers @Netflix
Greg Burrell presents Netflix’s journey from siloed teams to their Full Cycle Developer model for building and operating their services at Netflix.
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Risk Profiling
Jaume Jornet talks about why eDreams ODIGEO does Risk Profiling for product teams, how to introduce Risk Profiling in the organizations, and how it helps to move the company to highest maturity levels
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Lessons about Failure from the Girl Who Came Last
Elise Aplin explores the prevailing ideas around failure and how they limit the ability to grow teams, providing practical actions to create a culture of success rather than failure.
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I'd Hire More Women If They Would Apply!
Ronda Bergman discusses some of the common reasons women might not apply to certain companies and or job postings, exploring ways to make the hiring process more inclusive.
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DevOps at Scale – Success Stories
Omer Felder shares what is needed to achieve the transformation to DevOps at scale, along with the biggest challenges companies and governments face during this process.
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Big Data and Deep Learning: A Tale of Two Systems
Zhenxiao Luo explains how Uber tackles data caching in large-scale DL, detailing Uber’s ML architecture and discussing how Uber uses Big Data, concluding by sharing AI use cases.
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