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.
No application is an island and this is more obvious today than ever as applications extend their reach into people’s pockets, desktops, tablets, TVs, Blu-ray players and cars. What’s a modern developer to do to support these many platforms? In this talk, join Josh Long to learn how Spring can extend your reach through (sometimes Spring Security OAuth-secured) RESTful services exposed through Spring MVC, HTML5 and client-specific rendering thanks to Spring Mobile, and powerful, native support for Android with Spring Android.
Addressing Messaging Challenges Using Open Technologies
For Modern Applications Many businesses are faced with some new messaging challenges for modern applications, such as horizontal scalability of the messaging tier, heterogeneous messaging systems and access methods, and extreme transaction processing. This presentation/demo will cover how businesses can overcome these messaging challenges with the use of Spring and RabbitMQ technologies.
Tom will build a case for AMQP, explain how SpringSource is providing AMQP support via Spring AMQP and Spring Integration, explain how RabbitMQ is a modern messaging solution that offers a reliable, highly available, scalable and portable messaging system with predictable and consistent throughput and latency, and demonstrate how Spring Integration and RabbitMQ can be progressively introduced into a standard Spring web application.
The repository abstraction layer is one of the core pieces of the Spring Data projects. It provides a consistent, interface-based programming model to allow implementing data access layers easily. The talk will start with a brief introduction and dive into best practices and implementation patterns later one.
We will conclude the session with an overview over what can actually be built on top of this generic repository abstraction and discuss integration hooks into Spring MVC and REST webservices.
Getting started with Spring Data and Distributed Database Grids
Alternative data persistence approaches are all the rage these days. Transitioning our skill sets and legacy applications to these new and promising technologies though can be problematic. Spring Data is an exciting solution to persistence proliferation. It brings the flexibility and familiarity of the Spring Framework and adds the concepts of Repositories which allow developers to write their programs to using familiar methods such as save, update, delete, and dynamic finders.
In this presentation we will introduce Spring Data for GemFire and how it leverages your existing Spring Framework skills to create generic Spring style interfaces which will make it more efficient to transition to distributed data grids such as GemFire.
In this presentation we will discuss the options for managing and monitoring applications that use Spring Integration. It will provide a comprehensive overview of the extensive support for JMX provided by Spring Integration, both in terms of providing access to Spring Integration internals, as well as creating a JMX client to interact with local and remote MBeanServers.
In addition, we will show how to use the Spring Integration plugin for Spring Insight to drill down into Spring Integration flow processing to examine application performance.
Using the Integration MBean Exporter, and the MBeans it registers, for analyzing Messaging Endpoints and Channels.
Exporting the Integration MBean Exporter itself as an MBean, to gain access to it’s attributes and operations.
Using the Control Bus to start and stop endpoints.
Using the Spring Integration plugin for Spring Insight to get a real-time view of your application and its performance.
Enabling and using Message History
Using the orderly shutdown mechanism available in Spring Integration 2.2.
Using JMX endpoints (with local and remote MBeanServers) to monitor attributes. invoke operations, publish notifications, and receive notifications.