InfoQ Homepage Presentations
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DBS Bank : Changing the Way We Hire, Work and Deliver Digital Experiences to Our Customers
Siew Choo Soh discusses DBS Bank’s new approach to customers using the latest digital solutions.
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Connecting, Managing, Observing, and Securing Services
Zack Butcher talks about how a service mesh helps with the transition from monoliths to microservices, to empower operations teams, and to adopt security best-practices.
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Nearline Recommendations for Active Communities @LinkedIn
Hema Raghavan focusses on technologies they have built to power LinkedIn’s “People You May Know” product and describes their nearline platform for notification recommendation.
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Reactive DDD—When Concurrent Waxes Fluent
Vaughn Vernon gives practical guidance on using DDD to model business-driven solutions that result in software that is fluent, type-safe, and with core Reactive properties.
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Angular2+ Reactive Forms
Lyndsey Padget steps through building a reactive form in Angular 2+ with code snippets and demos.
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Fireside Chat – Strategic Agility
In conversation with Nigel Dalton, Steve Denning share what’s involved in what he believes to be the next frontier of Agile management – Strategic Agility.
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Solving Business Problems with AI
The panelists discuss using AI to solve business problems.
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Spring Boot as a Teaching Tool
Afua Ankomah, Alton Henley describe their journey learning Spring Boot through the eyes of students of varying backgrounds, describing their path to the workforce.
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Agile Architecture
Matthew Parker attempts to dispel the myth that architecture does not need to be agile.
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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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Human-centric Machine Learning Infrastructure @Netflix
Ville Tuulos discusses the tools Netflix built for the data scientists and some of the challenges and solutions made to create a paved road for machine learning models to production.