We are glad to announce that we will host a FREE conference about Spring and Hadoop on Friday August 30th in downtown Singapore from 6 to 8 PM.
Spring best practices: from Spring Petclinic to Spring Data Hadoop
Michael Isvy joined SpringSource (the company behind Spring, now part of Pivotal) in 2008. He has, since then, taught Spring to more than 1000 students in 10 different countries. He has presented on Spring at numerous conferences and is an active technical blogger on the SpringSource blog. Michael holds the position of Education Manager for the Asia-Pacific region at SpringSource/Pivotal.
If you are a Java developer looking to increase your Spring knowledge, Spring Training by Pivotal is the place to start. We are providing several Spring trainings across the globe closely connected to your needs as a professional developer. This month we provide the new 4-day Groovy & Grails class in Boston, MA. SpringSource has also started offering new Hibernate with Spring Classes in the Bay Area, Germany, London (GB) and the United States (Online Courses)
The complete Spring training schedule for September, 2013 can be found below:
Learn how Spring and Cucumber integrate to make test automation easier. Cucumber is a framework for Behavior-Driven-Development (BDD), a refinement of TDD (Test-Driven-Development). Its intent is to enable developers to write high-level use cases in plain text that can be verified by non-technical stakeholders, and turn them into executable tests, written in a language called Gherkin. Using Spring, Cucumber, WebDriver2, Hemant Joshi will show you how to use Spring & Cucumber to do BDD with elegance and joy.
Speakers: Mattias Severson & Johan Haleby, Jayway Inc You’ve probably heard the buzz about functional programming and you may have glanced at the new Lambda features in Java 8. What is less known is that it’s actually possible to leverage some of the functional-style techniques even in older Java versions. This means that you can program in a functional style, even if your organization has not updated to Java 8. In this session, you’ll learn about real-world experiences with functional frameworks such as LamdaJ, Functional Java and Guava. What should you consider before adopting them? How do they compare against one another? If you are stuck with a legacy Java version and want to be prepared for the functional future of Java 8, make sure to attend this session.
Sure the new features coming out in Spring Framework 4.0 are super exciting, but what about those of us that are still explaining dependency injection to our junior developers? And while Spock, Geb, and spring-test-mvc are revolutionizing our ability to test applications, what about the senior developers that are still justifying the value of unit testing to their managers. Strong technical leadership can overcome the organizational inertia that often resists your team’s adoption of Spring technologies. Improve your leadership skills by drawing from lessons that were learned during the process of migrating Liberty University’s software development department from “cut-and-paste coding” in ColdFusion to enterprise grade application development on the Spring Framework. Learn to plan an effective technology adoption strategy that avoids “new technology overload” and balances the pace of technology improvement with the necessity to continue production. Relationships with managers, junior developers, and production system administrators will all be important. Gain a better xtunderstanding of nontechnical managers and explore strategies for providing the conte they need to make the right decisions. Examine ways to build mentoring plans for your junior developers that include but extend beyond training and certifications from SpringSource University so that you can spend less time teaching and more time coding.
The sheer volume of non-human-generated data in modern applications can easily overtake a traditional single-threaded, blocking design model. Reactor aims to address this volume, by providing a foundational framework for JVM applications -- applications that need high throughput when performing reasonably small chunks of stateless, asynchronous processing. Join Jon Brisbin as he discusses the motivations behind the project, the design patterns and existing technology that inspired the project, and how it fits in the asynchronous ecosystem today, as a teaser to his upcoming session at SpringOne 2GX 2013.
Today’s applications don’t exist in isolation. REST applications and web services are a great way to connect applications together. REST is a design principle that imposes no constraints on the client except basic HTTP support, which all platforms provide. Designing REST services, however, is still as much art as it is science, as standards are emerging. Join Spring Developer Advocate Josh Long as he introduces some of the ins-and-outs of REST API design with Spring, building on Spring MVC, Spring HATEOAS and answers some commonly- asked questions like how to secure REST-ful services, and how to tailor payload serialization to your specific use cases.
Virtualizing and Tuning Large Scale Java Applications
This session shares many of the production proven methods of running Java on vSphere. Covering how to size JVMs, and VMs for large scale deployments. The session will have a special section on GC tuning and show how a wide range of JVMs can be tuned using a GC recipe developed over the past 15 years of actual field experience in tuning JVMs.
Three key trends and associated tuning techniques are discussed in this session. The key trends are: Consolidation, Elasticity and Flexibility, and Performance
Consolidation Many of our customers find that their middleware deployments have proliferated and are becoming an administrative challenge associated with higher costs. We see a trend across customers who look to virtualization as a way of reducing the number of server instances. At the same time, customers are taking the consolidation opportunity to rationalize the number of middleware components needed to service a particular load. Middleware components most commonly run within a Java Virtual Machine (JVM) with an observed scale of 100 to 1000s of JVM instances and provide many opportunities for JVM instance consolidation. Hence, middleware virtualization provides an opportunity to consolidate twice once to consolidate server instances, and, secondly, to consolidate JVM instances. This trend is far-reaching, because every IT shop on the planet is considering the cost savings of consolidation. One customer in the hospitality sector went through the process of consolidating their server footprint and at the same time consolidated many smaller JVMs that were less than 1GB heap. They consolidated many of these smaller 1GB JVMs into 2 categories, those that were 4GB, and others that were 6GB. They performed the consolidation in such manner that the net total amount of RAM available to the application was equal to the original amount of RAM, but with fewer JVM instances. They did all of this while improving performance and maintaining good SLAs. They also reduced the cost of administration considerably due to the reduced number of JVM instances they had to manage, and refined environment that helped easily achieve SLA.
Another customer, in the insurance industry, was able to achieve the same as the above customer, but additionally was able to over-commit CPU in development and QA environments in order to save on third party software license costs. On the other hand, sometimes we come across customers that have a legitimate business requirement to maintain one JVM for an application, and/or one JVM per a line of business. In these cases, you cannot really consolidate the JVM instances, as that would cause intermixing of the lifecycle of one application from one line of business with another. However, while such customers don’t benefit from eliminating additional JVM instances through JVM consolidation, they do benefit from more fully utilizing the available compute resource on the server hardware, that otherwise would have been underutilized in a non virtualized environment
Elasticity and Flexibility It is increasingly common to find applications with seasonal demands. For example, many of our customers run various marketing campaigns that drive seasonal traffic towards their application. With VMware, you can handle this kind of traffic burst, by automatically provisioning new virtual machines and middleware components when needed, and then automatically tear down these VMs when the load subsides. In addition, the ability to change updating/patching hardware without causing outage is paramount for middleware that supports the cloud era scale and uptime. VMware VMotion gives you the ability to move VMs around without needing to stop applicators and or the VM. This flexibility alone makes virtualization of middleware worthwhile when managing large-scale middleware deployments. One customer in the financial space, handling millions of transactions per day, used VMotion quite often to schedule their hardware upgrades without any time downtime. What otherwise would be a costly scheduled downtime to their business.
Performance Customers often report improved middleware platform performance when virtualizing. Performance improvements are partly due to the updated hardware that customers will typically refresh during a virtualization project. There is also some performance improvement due to the robust VMware hypervisor. A recent customer that reported a great level of performance provided the following testimony
“With our OrderExpress project we upgraded our Middleware Services, Commerce, Portal, WCM, Service Layer, DB2 Database; migrated from AIX to Linux; virtualized on VMware; moved the application into a three-tier DMZ; increased our transactions by over 150 percent; and added significant new capabilities that greatly improved the customer experience. Changing such a wide range of technology components at once was a huge challenge. However using VMware vSphere and additional architectural changes we were successful in improving performance by over 300 percent; lowered costs in the millions; improved security, availability, and scalability; and how we plan to continue evolving this application to maintain greater than 30 percent yearly growth.”
Jeff Battisti, Senior Enterprise Architect at Cardinal Health
In this session, I will show some actual JVM and VM sizes for middleware components both small and large JVMs. Will also detail out GC tuning recipe that I have developed over the years,that has been shown to handle JVM heap sizes form 4GB to 88GB+, and higher. Of course the introduction of in-memory databases has driven the trend to have these larger JVMs and hence why we will discuss what is the best way to tune the JVM, VM, and the hardware platform they are deployed on.
I see the sizing question as the most commonly asked question with our customer base,and as a result I plan to focus on it during the session.
Join David Turanski (SpringSource) and Damien Dallimore (Splunk) as they discuss and demonstrate Splunk and Spring Integration. Spring Integration provides a number of adapters out of the box to support various transports, such as JMS, File, HTTP, Web Services, and Mail. They will introduce the Splunk channel adapter, a new entry to the out of the box adapters available for Spring Integration, which allows data to flow through Spring Integration to interact with data being ingested or queried by Splunk.