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CQRS, Read Models and Persistence

by Jan Stenberg on  Oct 20, 2015 4

Storing events in a relational database and creating the event identity as a globally unique and sequentially increasing number is an important and maybe uncommon decision when working with an event-sourced Command Query Responsibility Segregation (CQRS) system Konrad Garus writes in three blog posts describing his experiences from a recent project building a system of relatively low scale.

Introducing Reactive Streams

by Jan Stenberg on  Sep 30, 2015

Modern software increasingly operates on data in near real-time. There is business value in sub-second responses to changing information and stream processing is one way to help turn data into knowledge as fast as possible, Kevin Webber explains in an introduction to Reactive Streams.

DDD, Events and Microservices

by Jan Stenberg on  Jun 29, 2015 1

To make microservices awesome Domain-Driven Design (DDD) is needed, the same mistakes made 5-10 years ago and solved by DDD are made again in the context of microservices, David Dawson claimed in his presentation at this year’s DDD Exchange conference in London.

Making Sense of Event Stream Processing

by Jan Stenberg on  Mar 22, 2015 1

Structuring data as a stream of events is an idea appearing in many areas and is the ideal way of storing data. Aggregating a read model from these events is an ideal way to present data to a user, Martin Kleppmann claims explains when describing the fundamental ideas behind Stream Processing, Event Sourcing and Complex Event Processing (CEP).

Lessons Learned Building Distributed Systems at Bitly

by Sergio De Simone on  Jul 23, 2014

At the Bacon Conference last May, bitly Lead Application Developer Sean O'Connor explained the most relevant lessons bitly developers learned while building a distributed system that handles 6 billions clicks per month.

Microsoft Tackles Internet-of-Things With New Data Stream Processing Service

by Richard Seroter on  Jul 22, 2014 1

Last week at the Microsoft Worldwide Partner Conference, Microsoft took the wraps off of Azure Event Hubs. This service – in preview release until General Availability next month – is for high throughput ingress of data streams generated by devices and services. Event Hubs resembles Amazon Kinesis and uses an identical pricing scheme based on data processing units and transaction volume.

DataTorrent 1.0 Handles >1B Real-time Events/sec

by Abel Avram on  Jun 03, 2014 7

DataTorrent is a real-time streaming and analyzing platform that can process over 1B real-time events/sec.

Reactive Streams with Akka Streams

by Bienvenido David on  Apr 21, 2014

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.

New York Times Lab Introduces Visual Stream Processing Tool

by Michael Hausenblas on  Apr 01, 2014 1

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.

Greg Young on Using Complex Event Processing

by Jan Stenberg on  Jan 29, 2014 4

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.

Yahoo! Open Sources Storm on Hadoop

by Boris Lublinsky on  Jun 17, 2013 2

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.

Dempsy – a New Real-time Framework for Processing BigData

by Boris Lublinsky on  Apr 25, 2012 8

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.

Did CEP deliver for SOA and can it for Cloud?

by Mark Little on  Sep 11, 2011 10

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?

Yahoo! Releases S4, a Real Time, Distributed Stream Computing Platform

by Tim Cull on  Nov 23, 2010 5

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.

A Quick Look at Architectural Styles and Patterns

by Abel Avram on  Feb 11, 2009 2

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.

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