InfoQ Homepage Presentations
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Writing a Kubernetes Autoscaler with Groovy and Spring Boot
Ray Tsang shares his experience in writing a custom metrics collector plus an autoscaler using Groovy and Spring Boot, deployed as containerized microservices in Kubernetes.
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The Project Manager as a Positive Agent for Agile
Graham Dick takes a look at the role of the PM, challenging PMs to become active advocates for Agile by further developing facilitation skills and leading a revolution in their organization.
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Disciplined Agile Delivery (DAD): The Foundation for Scaling Agile
Mark Lines keynotes on the Disciplined Agile Delivery (DAD) framework, scaling an Agile strategy, and practices for successfully scaling Agile.
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When Enterprise Meets DevOps
May Xu discusses the benefits and challenges of using DevOps in the enterprise and how to adopt it, covering business value discovery, people, principles, practices, the environment and metrics.
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Putting People First – Building and Sustaining Awesome Distributed Teams at Scale
Mike Breeze and Ma Qiang share the story of a distributed team and its Agile transformation, placing individuals and interactions over processes and tools and avoiding the dark side of Agile.
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Getting Started with Chrome Extensions: Tips and Tricks
Andrew Dunkman explains the basics of Chrome extension development, how to avoid an extension being automatically disabled when performing upgrades, and some unexpected Chrome hooks.
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Building Highly Scalable Spring Applications with In-memory Distributed Data Grids
John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. They demonstrate how to effectively build highly scalable applications with GemFire/Apache.
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Introduction to Reactive Programming
Stephane Maldini and Rossen Stoyanchev discuss Reactive Streams and Reactive Extensions, and demo introducing the basic concepts in composition libraries using RxJava and Reactor.
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Takes a Village to Raise a Machine Learning Model
Lucian Vlad Lita focuses on the next step in personalization: well-designed software architectures for storing, computing, and delivering responsive, accurate in-product predictions and experiments.
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The Lego Model for Machine Learning Pipelines
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
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Seriously, Use Groovy Now
Ken Kousen demonstrates how one can add Groovy to Java applications and simplify his development job immediately.
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Gpars: Concurrency in Java & Groovy
Ken Kousen reviews the basic concepts of the Groovy Parallel Streams framework and demonstrates communicating sequential processes, promises, dataflow concurrency and concurrent collection processing.
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