InfoQ Homepage Presentations
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Coaching Nightmares: Insights We Can Learn from Gordon Ramsay
Renee Troughton and Craig Smith draw insights from Ramsay’s Kitchen Nightmares escapades, introducing a number of models and techniques that are indispensable to the coaching toolkit.
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Scrum vs ScrumAnd vs ScrumBut: Which One Are You Doing?
Pedro Gustavo Torres compares various variations of the Scrum practice, and explains the Shu Ha Ri learning model and how to map it to ScrumBut and ScrumAnd.
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Stored Procedures as a Service
Abhishek Tiwari discusses how to use stored procedures to create a fast-track API transformation program on top of legacy systems,migrating business logic into a service tier,one store proc at a time
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Creating a Collaborative Culture between Dev & Ops
Pedro Canahuati discusses some of the ways the Production Engineering (PE) team at Facebook has worked on building a collaborative culture between the software and operations teams.
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Winston: Helping Netflix Engineers Sleep at Night
Sayli Karmarkar discusses Winston, a monitoring and remediation platform built for Netflix engineers.
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Fundamentals of Stream Processing with Apache Beam
Frances Perry and Tyler Akidau discuss Apache Beam, out-of-order stream processing, and how Beam’s tools for reasoning simplify complex tasks.
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Incident Management at the Edge
Lisa Phillips discusses the typical struggles a company runs into when building around-the-clock incident operations and the things Fastly has put in place to make dealing with incidents easier.
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Is Managing Men & Women Really That Different?
Mitch Shepard’s presentation combines cutting-edge gender research and practical strategies for being exceptional leaders to diverse talent.
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Agile as a Metabolism
Arie van Bennekum discusses the changes needed to become agile, instead of doing Agile in order to be successful in an Agile endeavor.
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API Specification Shootout
Justin Wood and Giovanni Vigorrelli compare and contrast RAML and Swagger, do a round up of the other specifications languages, and present some conclusions.
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Data Science in the Cloud @StitchFix
Stefan Krawczyk discusses how StitchFix used the cloud to enable over 80 data scientists to be productive and have easy access, covering prototyping, algorithms used, keeping schema in sync, etc.
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Elastic Data Analytics Platform @Datadog
Doug Daniels discusses the cloud-based platform they have built at DataDog and how it differs from a traditional datacenter-based analytics stack, pros and cons and the tooling built.
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