Typesafe has announced the early preview of Akka Streams, an open source implementation of the Reactive Streams draft specification using an Actor-based implementation. Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure on the JVM. Back pressure in needed to make sure the data producer doesn't overwhelm the data consumer.
The New York Times R&D Lab has released streamtools, a general purpose, graphical tool for dealing with streams of data, under Apache 2 license.
Complex Event Processing, CEP, can be very useful for problems that have to do with time e.g. querying over historical data when you want to correlate things that have happened at different times, Greg Young explained in a recent presentation.
Last week Yahoo! announced the open source release of Storm on Hadoop cluster. This implementation enables Storm applications to utilize the computational resources of a Hadoop cluster along with accessing Hadoop’ storage resources such as HBase and HDFS.
A new open source project – Dempsy adds one more option for people trying to do real time processing of big data. Comparable to Storm and S4 Dempsy is most applicable to near real time stream processing where latency is more important than guaranteed delivery.
At the peak of the SOA hype, Complex Event Processing (CEP) was hailed as SOAs "next big thing". Since then several CEP solutions have come and gone, and the term CEP is not used as much as it once was. Has it failed to deliver on initial claims or has it simply become a core part of most SOA infrastructures that we take it for granted? And does CEP have anything to offer the Cloud?
This month, Yahoo! released a new open source framework for "processing continuous, unbounded streams of data." The framework, named S4, allows for massively distributed computations over data that is constantly changing. InfoQ examines some of the examples and compares S4 to other technologies.
App Arch Guide 2.0 (Microsoft patterns&practices), Chapter 6, talks about architectural styles like Message-Bus, Layered Architecture, SOA. Beside those styles there are numerous architectural patterns like Plug-in, Peer-to-Peer, Publish-Subscribe. Some authors make a difference between architectural styles, patterns and metaphors.
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 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.
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.
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.
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.
A look at how BEA's WebLogic Event Server simplifies building Complex Event Processing applications.
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.