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InfoQ Homepage Event Stream Processing Content on InfoQ

  • Event Stream Processing: Scalable Alternative to Data Warehouses?

    Dan Pritchett suggests that analyzing streams of events using Event Stream Processor could be an interesting alternative solution to data warehousing applications, which have, in his opinion, important downsides in terms of cost, scalability and reactivity.

  • Complex Event Processing and EDA?

    Complex Event Processing systems and Event Driven Architectures have been identified as playing a larger role in sophisticated systems today and in the future. What that role is and how it is carried out are up for debate.

  • WebSphere Updates: sMash, eXtreme Scale, Virtual Enterprise, Business Events

    At IBM IMPACT this week, IBM announced a several new and re-randed upgraded products dealing with virtualization (Virtual Enterprise), clustering & caching (eXtreme Scale), complex event processing (Business Events), and RESTful web apps (sMash). InfoQ spoke to various execs and product managers to find out more.

  • Gartner on Disruptive Trends in Platform Middleware

    A Gartner Report elaborates how emerging Event Driven Architecture and Service Oriented Architecture programming models, as well as the continued growth in adoption of key open source technologies (in particular Spring) have all combined to put significant pressure on traditional platform middleware vendors and may lead to disrupt the industry landscape.

  • Catching up with Esper: Event Stream Processing Framework

    Esper is an event stream processing (ESP) and event correlation engine (CEP) that triggers actions when event conditions occurs among event streams - which can be thought of as a database turned upside down where statements are registered and data streams flow through. InfoQ caught up with Esper founders on recent project status, including BEA's use of Esper, and recent benchmarks.

  • Building Complex Event Processing applications in Java with WebLogic Event Server

    A look at how BEA's WebLogic Event Server simplifies building Complex Event Processing applications.

  • Exploring Event Driven Architectures with Esper

    At Java One Thomas Bernhardt and Alexandre Vasseur explained the concepts of event driven application servers and the Esper project. Event driven application servers are a new category of servers, proving a runtime and supporting infrastructure services (transport, security, event journaling, high availability, connectors, etc.) to servers designed to be able to process over 100,000 events/sec.

  • InfoQ Article: Using SEDA to Ensure Service Availability

    SEDA is a new strategy for incorporating event driven architecture for scalability and availability of services in the context of SOA. These strategies are based on queuing research pioneered for the use of highly abailable and scalable services, initially in the Web context, but moving into the SOA and Web services context. This article describes SEDA with an implementation using Mule.

  • Event Driven Architecture

    Event Driven Architecture (EDA) is a term promoted by Gartner to describe an evolved state of Enterprise software characterized by real time events. EDA has been associated to its detriment with SOA 2.0, however, there may be technical legitimacy to some of the EDA ideas.

  • Esper: High Volume Event Stream Processing and Correlation in Java

    Esper is an event stream processing (ESP) and event correlation engine (CEP) unveiled this week with a 1.0 launch on Codehaus. Esper is a real time engine that triggers actions when pojo event conditions occurs among event streams. It is designed for high volume event correlation where millions of events coming in would make it impossible to use a classical RDBMS approach.

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