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57:45

Spring with ApacheNiFi

Posted by Oleg Zhurakousky  on  Jan 21, 2017 Posted by Oleg Zhurakousky  on  Jan 21, 2017

Oleg Zhurakousky provides a quick introduction to Apache NiFi, demonstrates its core features while concentrating on WHY/WHERE and HOW of integrating with Spring.

28:55

Writing Comprehensive and Guaranteed Up-to-date REST API Documentation

Posted by Andreas Evers  on  Jan 21, 2017 Posted by Andreas Evers  on  Jan 21, 2017

Andreas Evers introduces Spring REST Docs and its test-driven approach to RESTful API documentation.

28:16

Bootiful Microservices in a Legacy Environment: Lessons Learned

Posted by David Julia  on  Jan 21, 2017 Posted by David Julia  on  Jan 21, 2017

David Julia describes some patterns that Pivotal Labs have employed over the last 2 years of building Spring Boot based microservices in the context of legacy systems.

32:33

Microservices: Organizing Large Teams for Rapid Delivery

Posted by Patricia Anderson  on  Jan 20, 2017 Posted by Patricia Anderson Micah Blalock Jason Goth  on  Jan 20, 2017

The speakers discuss the organizational structure and communication and development strategies and tools to allow teams to work in parallel without drowning in process overhead and coordination costs.

32:01

The Journey from Monolith to Microservices: A Guided Adventure

Posted by Mike Gehard  on  Jan 20, 2017 Posted by Mike Gehard  on  Jan 20, 2017

Mike Gehard takes the journey from monolith to microservices.

32:14

Real World Microservices with Spring Cloud, Netflix OSS and Kubernetes

Posted by Christian Posta  on  Jan 19, 2017 Posted by Christian Posta  on  Jan 19, 2017

Christian Posta explains building microservices with Spring, Spring Cloud, and Netflix OSS and running them on Docker and Kubernetes.

01:07:28

Orchestrate All the Things! with Spring Cloud Data Flow

Posted by Eric Bottard  on  Jan 19, 2017 Posted by Eric Bottard Ilayaperumal Gopinathan  on  Jan 19, 2017

Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.

50:44

Java (SE) State of the Union

Posted by Gil Tene  on  Jan 17, 2017 Posted by Gil Tene  on  Jan 17, 2017

Gil Tene presents the current state of Java SE and OpenJDK, the role of Java in the Big Data and Infrastructure components, JCP, the ecosystem, trends, etc.

44:50

Kanban Metrics in Practice

Posted by Mattia Battiston  on  Jan 17, 2017 Posted by Mattia Battiston  on  Jan 17, 2017

Mattia Battiston shares from his experience at Sky Network: what metrics they use, how they use them, what pitfalls they encountered and what little data they collect to get a whole lot of value.

50:13

Scaling Quality on Quora Using Machine Learning

Posted by Nikhil Garg  on  Jan 15, 2017 Posted by Nikhil Garg  on  Jan 15, 2017

Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.

49:27

Query Understanding: a Manifesto

Posted by Daniel Tunkelang  on  Jan 15, 2017 Posted by Daniel Tunkelang  on  Jan 15, 2017

Daniel Tunkelang talks about what search looks like when viewed through a query understanding mindset. He focuses on query performance prediction, query rewriting, and search suggestions.

42:06

Iterative Design for Data Science Projects

Posted by Bo Peng  on  Jan 15, 2017 Posted by Bo Peng  on  Jan 15, 2017

Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.

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