Speakers: Michael Hunger, Josh Long

Slides: https://speakerdeck.com/jexp/spring-data-neo4j-and-spring-boot

Spring Data Neo4j 3.0 is here and it supports Neo4j 2.0. Neo4j is a tiny graph database with a big punch. Graph databases are imminently suited to asking interesting questions, and doing analysis. Want to load the Facebook friend graph? Build a recommendation engine? Neo4j's just the ticket. Join Spring Data Neo4j lead Michael Hunger (@mesirii) and Spring Developer Advocate Josh Long (@starbuxman) for a look at how to build smart, graph-driven applications with Spring Data Neo4j and Spring Boot.

Note: there are some minor audio issues in the source recording that could not be edited out.

Learn more about Spring Data Neo4j at http://projects.spring.io/spring-data-neo4j/

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Recorded at SpringOne2GX 2013 in Santa Clara, CA.

Speaker: Matt Stine

This session will focus on how you can build your very own Cloud Foundry private PaaS running in your own data center or on AWS or even on OpenStack on your own Mac mini. You will learn how the Cloud Foundry BOSH tool constructs a full Cloud Foundry instance from a bare bones virtual machine and continues to coordinate and manage the entire PaaS cloud once it is operational. If you want the convenience of developing against your own private custom PaaS within your company, then this session will give you all the steps you need to get started.

Learn more about using CloudFoundry at: http://www.cloudfoundry.com/use

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Recorded at SpringOne2GX 2013 in Santa Clara, CA.

Speakers: Mike Heath, Shawn Nielsen, Mike Youngstrom - LDS Church

Cloud Foundry makes managing and deploying applications incredibly simple. However, deploying Cloud Foundry itself can be a challenging task. We will be sharing what we learned deploying Cloud Foundry and what it took to win over our organization. Learn from our experiences deploying Cloud Foundry with BOSH and integrating with our existing enterprise infrastructure. We will discuss: Developing and customizing Cloud Foundry while staying in sync with the open source repositories Building custom Cloud Foundry services using Java and Spring Improved gathering application diagnostics by simplifying JMX and remote debugging support in Cloud Foundry Enhanced security and auditability with application level firewalls Come learn from our successes as well as our mistakes.

Learn more about using CloudFoundry at: http://www.cloudfoundry.com/use

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Speaker: Ramnivas Laddad

Developing an application to a cloud platform involves working with a deployed application's environment and connecting to services. Spring Cloud, a new project, simplifies these tasks in a variety of cloud platforms including Cloud Foundry and Heroku. Spring Cloud makes it possible to deploy the same artifact (a war or a jar) to multiple cloud environments. It supports multiple clouds through the concept of Cloud Connector and provides out of the box implementation for Cloud Foundry and Heroku, and extension points for other cloud platforms. In this talk, we will introduce the Spring Cloud project, show how you can simplify configuring applications for cloud deployment, discuss its extensibility mechanism, and put it to good use by showing practical examples from the field.

Tuesday, June 3rd, 2014 3:00 pm BST Time (London, UTC+1) Register

Tuesday, June 3rd, 2014 10:00 am Pacific Daylight Time (San Francisco, UTC-07:00) Register

Speaker: Michael Minella

The Spring team is gearing up for a major rev of Spring Batch - Spring Batch 3.0.0 RC1 which introduces JSR-352 support, among other features. Adopting a Java EE standard that was directly based on Spring Batch to begin with is fortunately, fairly straightforward for us. JavaEE7 compliance updates and expands the scope of Spring Batch 3.0.0 to combine JavaEE7/352 compliance with years of Batch's battle-tested, proven-in-production codebase. Of course, there is a wealth of capability and features that go far beyond the specification into distributed processing and beyond. In this webinar, project lead Michael Minella will cover Spring Batch's implementation of JSR-352 as well as some of the new features in the 3.0 release.

Tuesday, June 10th, 2014 3:00 pm BST Time (London, UTC+1) Register

Tuesday, June 10th, 2014 10:00 am Pacific Daylight Time (San Francisco, UTC-07:00) Register

Speaker: Glenn Renfro

With the increase in the number of devices that emit information it has become ever more important to be able to retrieve this data and process accordingly. In response to this need, MQTT has become the defacto lightweight transport for connecting an "Internet of things". With that being said, how do your applications support for eventing, messaging, and scheduling? Utilizing Spring Boot and Spring Integration you will see how to create an application with a scheduler that will retrieve data from a web service, cleanse and emit the data via MQTT. Then we'll show you how to create an application also written using Spring Boot and Spring Integration, that will capture the MQTT events and record the results. From this discussion you can see how to use these tools and take advantage of them for your own big data projects as soon as you return to the office.

Tuesday, June 17th, 2014 3:00 pm BST Time (London, UTC+1) Register

Tuesday, June 17th, 2014 10:00 am Pacific Daylight Time (San Francisco, UTC-07:00) Register

Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Zhiyong Li

SAS® Institute has a large portfolio of Java EE applications. SAS had previously provided support to deploy and run all of these applications in WebLogic, WebSphere and JBoss. Beginning with SAS 9.4, which was released in July 2013, SAS updated its infrastructure and middle tier platform to deliver and run on Pivotal tc Server. In this talk, we will discuss the motivation, technology selection, architecture, system administration, automated installation and configuration, etc., that SAS used to improve value for its customers. Specifically, we will discuss the following areas in detail:

• Technology selection: To make tc Server viable, we include the messaging, caching and the transaction management system.
• Architecture: To leverage tc Server scalability and reliability in SAS products, we support clustering by using the Pivotal Web Server and the mod_proxy. Application migration: We provide guidance to our Java developers and configuration developers on how to migrate their applications to the tc Server environment.
• Security: We support SSL, single sign-on and other enterprise security protocols such as Integrated Windows Authentication, CA Site Minder, IBM Web Seal, SAML, etc.
• System administration: We provide a single entry point to manage all SAS application stacks including all web applications by leveraging the Hyperic product.
• Automated installation / configuration: We provide the automated process to install and configure Hyperic and all Pivotal Application Fabric products (tc Server, vFWS and GemFire) and SAS web applications.
• Delivery and support: SAS delivers embedded tc Server as the SAS Web Application Server for use with all our offerings with a midtier on all our supported host platforms. This enables SAS to provide complete supported application architecture with more complete visibility and control of the critical software.
• Cloud deployment: This approach also provides advantages for our customers leveraging virtualization and cloud deployment strategies.

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Recorded at SpringOne2GX 2013 in Stana Clara, CA

Speakers: Emad Benjamin and Guillermo Tantachuco

The session will cover various GC tuning techniques, in particular focus on tuning large scale JVM deployments. Come to this session to learn about GC tuning recipe that can give you the best configuration for latency sensitive applications. While predominantly most enterprise class Java workloads can fit into a scaled-out set of JVM instances of less than 4GB JVM heap, there are workloads in the in memory database space that require fairly large JVMs. In this session we take a deep dive into the issues and the optimal tuning configurations for tuning large JVMs in the range of 4GB to 128GB. In this session the GC tuning recipe shared is a refinement from 15 years of GC engagements and an adaptation in recent years for tuning some of the largest JVMs in the industry using plain HotSpot and CMS GC policy. You should be able to walk away with the ability to commence a decent GC tuning exercise on your own. The session does summarize the techniques and the necessary JVM options needed to accomplish this task. Naturally when tuning large scale JVM platforms, the underlying hardware tuning cannot be ignored, hence the session will take detour from the traditional GC tuning talks out there and dive into how you optimally size a platform for enhanced memory consumption. Lastly, the session will also cover vfabric reference architecture where a comprehensive performance study was done. Learn more about

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Speaker: Gary Russell

The Spring Integration team has been hard at work on the latest release of the popular integration framework. Before version 4.0, it was impractical to define a complete Spring Integration flow without using XML. With this major release, the existing basic annotation support has received an overhaul and those who prefer to use java @Configuration classes can now define their applications without needing to use any XML (of course, XML is still supported as well). In this session we will cover these major changes to the framework, explaining how and when to use them. It will be mainly demonstration and code walk through, and we will build a useful Spring Boot / Integration application from scratch.

Learn more about Spring Integration at http://projects.spring.io/spring-integration

Learn more about Spring Boot at http://projects.spring.io/spring-boot

Learn more about Spring Framework at http://projects.spring.io/spring-framework

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