InfoQ Homepage Presentations
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What to Build First: Goal-Oriented MVP
Arvid Torset and Tatiana Kolesnikova discuss Goal-oriented MVP, a methodology that joins principles of the Lean business model, human-oriented design and Agile development.
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Distributed Tracing in the Wild
Adrian Cole, Tommy Ludwig and Narayanan Arunachalam share the “Sites” project, which is an inventory of real-life setups people use today with distributed tracing to increase developer productivity.
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Responsible Microservices
Nate Schutta discusses a set of factors to apply to decide if something deserves to be a microservice or not.
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Introducing and Scaling a GraphQL BFF
Michelle Garrett talks about the journey of introducing and then scaling a GraphQL BFF to serve multiple applications.
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Optimize for Time
Andy Walker gives advice on how to use time in a way that enables teams to improve. He shares practical advice on how to get the most out of the time, and proposes principles to develop approaches
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Designing Composable Functional Libraries, Not Just for Data Visualization
Tomas Petricek describes the design of a data visualization library in The Gamma, covering principles of functional library design useful to use when tackling problems in other domains.
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Turnkey Multi-Region, Active-Active Session Stores with Steeltoe, Redis Enterprise, and PAS
Adi Foulger provides insights into the Redis Enterprise architecture and demos active/active Redis clusters across two geo-distributed Pivotal Platform foundations.
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Reactive Event Processing with Apache Geode
Bill Burcham discusses how to integrate Geode with your Reactive System efficiently, and at scale.
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Testing Software Architecture
Vladik Khononov discusses testing the architecture of a system, covering what makes a good architecture, identifying a big ball of mud, an exhausted architecture, and automating such tests.
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How We Built a Generative Culture at Redgate
Jeff Foster talks about the Westrum model of culture and shares some practical steps that Redgate has taken to improve the way they build products by building a generative culture.
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Accuracy as a Failure
V. Warmerdam talks about cautionary tales of mistakes that might happen when we let data scientists on a goose chase for accuracy. Highly accurate models are more damaging than the inaccurate ones
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