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01:27:34

High Performance Stream Processing

Posted by Stephane Maldini, Glenn Renfro, David Turanski  on  Mar 11, 2016

S Maldini, G Renfro and D Turanski dissect a Spring XD app to show design patterns and techniques for getting the highest throughput and lowest resource utilization in streaming apps.

01:20:48

Reactive Web Applications

Posted by Stephane Maldini, Rossen Stoyanchev  on  Mar 04, 2016 1

Stephane Maldini and Rossen Stoyanchev discuss building reactive web applications, the choice of runtimes, using reactive streams for network I/O and the reactive programming model.

01:30:26

Developing Real-time Data Pipelines with Apache Kafka

Posted by Joe Stein  on  Mar 04, 2016

Joe Stein makes an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log.

01:28:35

A Spring Developer's Guide to Social Integration

Posted by Craig Walls  on  Mar 04, 2016

Craig Walls discusses how to use Spring Social, Spring Boot, and Spring Integration to expand the reach of an application to those services, effectively injecting the app into their social graph.

01:24:19

Building Microservices with Event Sourcing and CQRS

Posted by Michael Ploed  on  Mar 04, 2016 4

Michael Ploed talks about the distributed data management challenges that arise in a microservices architecture and how they can be solved using event sourcing in an event-driven architecture.

01:08:26

What It Means to be Just In Time

Posted by Ashley Puls  on  Mar 03, 2016 1

Ashley Puls explains what happens to bytecode inside the JVM. It begins with an overview of the Just In Time (JIT) compiler and discusses JIT optimizations such as method inlining and loop unrolling.

01:19:35

Supercharging Operations and Analytics: Using Spring XD to Support Analytics and CEP

Posted by Joseph Paulchell  on  Feb 28, 2016 1

Joseph Paulchell discusses the journey from batch-oriented processes using databases to a real-time data streaming solution and the significant benefits achieved as well as the challenges encountered.

01:29:52

Introducing CallTracing(tm) Based on RabbitMQ, Spring and Zipkin

Posted by Monish Unni  on  Feb 28, 2016

Monish Unni discusses how E*Trade’s disparate services are stitched together using RabbitMQ (AMQP protocol) and Spring Proxies to form the enablement tier to provide data to Zipkin.

01:04:48

Isomorphic Templating with Spring Boot, Nashorn and React

Posted by Sébastien Deleuze  on  Feb 28, 2016

Sébastien Deleuze introduces Script Templating in Spring and shows how to build an isomorphic application using Spring Boot, Nashorn and React to render templates both on client and server.

01:25:33

Building a Next-generation Cloud e-Commerce Platform with Spring

Posted by Petar Tahchiev  on  Feb 21, 2016 1

Petar Tahchiev demos a typical e-commerce project with the Nemesis platform, listing the problems faced and the Spring projects used: Data, Session, Cloud, Boot, MVC, Security, etc.

01:26:57

Hadoop Workflows and Distributed YARN Apps using Spring Technologies

Posted by Thomas Risberg, Janne Valkealahti  on  Feb 21, 2016

The authors discuss how Spring for Apache Hadoop can make developing workflows with Map Reduce, Spark, Hive and Pig jobs easier, and using Spring Cloud to build distributed apps for YARN.

01:21:49

Spring MVC 4.2: New and Noteworthy

Posted by Rossen Stoyanchev  on  Feb 21, 2016 3

Rossen Stoyanchev offers an overview of new features for web applications in Spring Framework 4.2: HTTP streaming, Server-sent events, cross-origin requests, HTTP caching, and WebSocket updates.

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