InfoQ Homepage Conferences Content on InfoQ
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What's New in Reactor "Californium"
Stephane Maldini presents some of the latest additions to Reactor, Reactor Core 3.2, new Reactor Addons and Reactor Netty 0.8.
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Large Group Product Backlog Refinement in LeSS & LeSS Huge
Nils Bernert conducts a workshop where attendees do multi-team refinement for a hardware & software product in a LeSS adoption of a (fictional) startup in a potential 10 billion/year market.
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Angular2+ Reactive Forms
Lyndsey Padget demos building a reactive form in JavaScript for Angular 2+, making validation and error-handling simple.
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What Computers Can Teach Us about Humans: Machine Learning in Marketing
Melinda Han Williams discusses using machine learning in marketing.
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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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Consumer-Driven Contract Testing with Spring Cloud Contract
Olga Maciaszek-Sharma, Eddu Melendez discuss Spring Cloud Contract, showing its capabilities to keep producers and consumers working together correctly and avoid breaking the integration between them.
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A Tale of Two Frameworks: Spring Cloud and Istio
Shubha Anjur Tupil and Spencer Gibb compare Spring Cloud with Istio, exploring the use cases that are best suited for each of them.
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Going Cloud Native with Spring Cloud Azure
Yitao Dong and Yawei Wang show how to create cloud native apps with Spring Cloud on Azure.
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Chaos Engineering for PCF
Karun Chennuri and Ramesh Krishnaram show chaos tools built on ChaosLemur to verify the resistance to failure of a system running on PCF.
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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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Blind Spots: Cognitive Biases and Systems
Craig Larman keynotes on how the brain influences forming of biases and leads an exercise on finding biases and countering them.
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