InfoQ Homepage Programming Content on InfoQ
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Managing the Complexity of Microservices Deployments
Prithpal Bhogill and Kenny Bastani discuss building cloud native apps on PCF, Spring Boot and Cloud Services, exposing microservices over HTTP with Apigee Edge.
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Deconstructing Monoliths with Domain-driven Design
This talk explains how Liberty Mutual changed a monolithic app into an event-driven microservices based architecture implemented with Event Sourcing and CQRS.
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JUnit 5 — New Opportunities for Testing on the JVM
Sam Brannen discusses the architecture of JUnit 5 and demos some of its main features: tagging, DI, repeated tests, parameterized tests, conditional test execution, lambda for assertions, etc..
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Orchestrating Data Microservices with Spring Cloud Data Flow
Mark Pollack discusses how to create data integration and real-time data processing pipelines using Spring Cloud Data Flow and deploy them to multiple platforms – Cloud Foundry, Kubernetes, and YARN.
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Rapidly Develop, Deploy and Scale Java Cloud Apps Using Spring Boot
Asir Selvasingh demos building and deploying Java apps and microservices across multiple datacenters.
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SpringOne 2017 Closing Keynote: A Look to the Future
The panelists talk about the future of the platforms and the impact of AI and ML, how to infuse a large organization with a startup mentality, the movement of the open internet and more.
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Observable JS Apps
Emily Nakashima talks about an event-driven approach to client-side observability for the most complicated parts of Honeycomb's customer-facing React app: the query builder.
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WebAssembly (And the Death of JavaScript?)
Colin Eberhardt looks at what's wrong with the way people are using JavaScript today and why they need WebAssembly.
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Reinventing npmjs.com
Katie Fenn talks about the process of architecting the new npmjs.com website, and examines how the changing landscape of development tooling has shaped it throughout its lifetime.
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Models in Minutes not Months: AI as Microservices
Sarah Aerni talks about how Salesforce built an AI platform that scales to thousands of customers.
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Interpretable Machine Learning Products
Mike Lee Williams discusses how interpretability can make deep neural networks models easier to understand, and describes LIME, an OS tool that can be used to explore what ML classifiers are doing.
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Continuous Deployment Made Easy with Skipper
Mark Pollack discusses building continuous delivery pipelines using existing CI products and application repositories by adding Skipper.
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