Scalable as Google Simple as Spring
Most of us are familiar with Spring mostly as platform for simplifying the development of our JEE applications using POJO based approach. Our solution still rely J2EE as the container for addressing the high availability and scalability of my application. In most of high performance/low-latency environment this combination was hardly sufficient and most people found themselves building infrastructure outside the JEE stack to address their scalability and performance requirement. In most cases this was achieved by turning their Tier based application into SOA/EDA combining In-Memory-Data-Grid (IMDG) share state between their services and Messaging Bus (ESB) to enable loosely couple communication between those services.
In this session we will introduce a new framework - OpenSpaces that takes those different patterns and creates a simple platform on top of Spring - OpenSpaces. Openspaces simplify significantly the way we can build such applications by integrating POJO driven services with the Data and scale them out as a single unit - a processing-unit. Light weight SLA driven containers enables the deployment and management of those services over a dynamic pool of machines, in addition to that we will discuss how in future OSGI will be used to provide dynamic services and enable the management of their lifecycle independently even if they share the same VM. All this together makes the entire development of large scale application as simple as writing any other standalone Spring application today.
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