Speaker: Ramnivas Laddad

Slides: https://speakerdeck.com/ramnivas/abstracting-paas-services-to-be-portable-with-spring-cloud

Developing an application to a cloud platform involves working with 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.

Learn more about Spring Cloud at http://projects.spring.io/spring-cloud

Learn more about CloudFoundry at http://cloudfoundry.org/learn

Learn more about Heroku at https://devcenter.heroku.com/

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Jeffery Sologov, ADP

Relying on network reliability and topology are just a few mistakes most engineers make. Common fallacies of distributed computing are one of the most important factors that engineers need to keep in mind when building enterprise software. We will cover each fallacy while showing mistakes most engineers make. We will then cover what coupling truly means and how to tell whether your current project is heading the wrong way. Finally, we will apply aspects of object orientation that held up to this day and learn how to apply them to the new age architectures. Don't learn from your mistakes, learn from others and come away with techniques that you can apply to your current project right away. This is the session that I wish I attended when I was a young lad.

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

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Gil Tene, Azul

Time is Money. Understanding application responsiveness and latency is critical not only for delivering good application behavior. It is critical for maintaining profitability and containing risk. But good characterization of bad data is useless. When measurements of response time present false or misleading latency information, even the best analysis can lead to wrong operational decisions and poor application experience. In this presentation, Gil Tene (CTO, Azul Systems) discusses some common pitfalls encountered in measuring and characterizing latency. Gil demonstrates and discusses some false assumptions and measurement techniques that lead to dramatically incorrect reporting results, and covers simple ways to sanity check and correct these situations. He discusses the fallacy of using standard deviation measurements, the strongly multi-modal nature of latency, common discontinuities found in most computing platforms, and how back pressure and coordinated data omission issues can literally skew measurement results by orders of magnitude. Gil introduces and demonstrates how simple and recently open sourced tools can be used to improve and gain higher confidence in both latency measurement and reporting.

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

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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