Recorded at SpringOne Platform 2016. Speaker: Jüergen Hoeller Slides: http://www.slideshare.net/SpringCentral/modern-java-component-design-with-spring-framework-43

Spring's programming and configuration model has a strong design philosophy with respect to application components and configuration artifacts. Spring's annotation-based component story is fine-tuned for source code readability as well as consistency across an entire application's codebase. This session presents selected Spring Framework 4 component model highlights, with a focus on the current Spring Framework 4.3 and a selection…

Recorded at SpringOne Platform 2016. Speaker: Mark Thomas Slides: http://www.slideshare.net/SpringCentral/apache-tomcat-roadmap

Development of Apache Tomcat continues at a strong pace. This presentation will cover: Future development plans (features, timing) Current work Overview of new features available now in Tomcat 9 / Tomcat 8.5

• SNI
• OpenSSL based TLS
• OAuth (via JASPIC)

Why do we need Tomcat 8.5? Migrating from older versions End-of-life plans for older versions Progress towards a Servlet 4.0 implementation

As a result of attending this presentation, the audience will gain an…

Rob Mee, Pivotal CEO on Spring

Spring and the Circle of Feedback with Phil Webb

Reactive Spring with Rossen Stoyanchev and Stephane Maldini

Spring Framework 5.0, JDK 8/9 with Juergen Hoeller

Spring Boot 1.4 Weather Application Demo

Other Keynotes from SpringOne Platform 2016

Help Developers Do what they Love - Onsi Fakhouri

Containers Will Not Fix Your Broken Culture (and Other Hard Truths) — Bridget Kromhout

A Transformation Journey — Brad Miller, Citi

How Comcast Transformed the Product Delivery Experience — Greg Otto, Comcast

A Tale of Two Ladies: On Generating Opportunity for Women in…

Speaker: Michael Minella, Pivotal One of the major promises of the cloud is that of flexibility. Today, most applications deployed to the cloud are long running processes that use the flexibility of cloud scaling. But computing is full of short lived tasks that start up, do their work, and then terminate. These tasks are excellent cloud use cases since resources can quickly be provisioned - and reclaimed.

In this webinar, we’ll explore a new project in the Spring Cloud portfolio, Spring Cloud Task, a new framework for developing and orchestrating short-lived microservices. We’ll explore…

Speakers: Adrian Cole & Marcin Grzejszczak, Pivotal

Latency analysis is the act of blaming components for causing user perceptible delay. In today's world of microservices, this can be tricky as requests can fan out across polyglot components and even data-centers. In many cases, the root source of latency isn't a component, but rather a link between components. This session will overview how to debug latency problems, using call graphs created by Zipkin. We'll use trace zipkin itself, setting up from scratch using docker.

While we're at it, we'll discuss how the model works, and how to safely…

On behalf on the Spring Roo team at DISID Corporation, I'm pleased to announce that Spring Roo 2.0.0.M2 has been released!

The main goal of this Spring Roo version was to update code generation to use latest Spring technologies:

• Use Spring IO Platform to manage dependency versions and be able to use latest Spring technologies.
• Update code generation to use the latest Spring framework versions (4.x)
• Update code generation to include Spring Boot on generated projects.
• Remove all generated configuration based on XML files and use Spring Boot auto-configuration.
• Remove Active Record data model in favor of the Repository (Spring Data) based one.
• Generate application architecture based on service layer pattern by default
…

Speakers: Mark Fisher & Mark Pollack, Pivotal The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for microservice stream and batch processing. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone…

Speakers: Mark Fisher & Mark Pollack, Pivotal The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for microservice stream and batch processing. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone…

Speaker: Michael Minella, Pivotal

One of the major promises of the cloud is that of flexibility. Today, most applications deployed to the cloud are long running processes that use the flexibility of cloud scaling. But computing is full of short lived tasks that start up, do their work, and then terminate. These tasks are excellent cloud use cases since resources can quickly be provisioned - and reclaimed.

In this webinar, we'll explore a new project in the Spring Cloud portfolio, Spring Cloud Task, a new framework for developing and orchestrating short-lived microservices. We'll explore…