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Event Driven Architecture  Content on InfoQ rss

News about Event Driven Architecture rss

Managing Data in Microservices by Srini Penchikala Posted on Jun 28, 2017 Dani Traphagen on Next Phase of Distributed Systems with Apache Ignite by Srini Penchikala Posted on May 15, 2017 John Gossman on Microsoft’s Serverless Platform, Azure Functions and Logic Apps by Srini Penchikala Posted on Apr 28, 2017
Overview of the Reliable Event Delivery System at Spotify by Jan Stenberg Posted on Mar 31, 2017 Concurrent and Distributed Programming in the Future by Jan Stenberg Posted on Mar 15, 2017 Hazelcast Release Jet, Open-Source Stream Processing Engine by Ben Evans Posted on Feb 08, 2017
Chaperone - A Kafka Auditing Tool from the Uber Engineering Team by Hrishikesh Barua Posted on Jan 26, 2017 2 Apache Eagle, Originally from eBay, Graduates to top-level project by Alexandre Rodrigues Posted on Jan 24, 2017 Moving a Monolithic Application towards a Microservices Architecture by Jan Stenberg Posted on Dec 31, 2016
Start with Events and DDD When Building Microservices by Jan Stenberg Posted on Dec 28, 2016 2 Julien Nioche on StormCrawler, Open-Source Crawler Pipelines Backed by Apache Storm by Alexandre Rodrigues Posted on Dec 15, 2016 Azure Functions Reach General Availability by Kent Weare Posted on Dec 10, 2016 2
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Articles about Event Driven Architecture rss

Know the Flow! Microservices and Event Choreographies by Bernd Rücker Martin Schimak Posted on Jun 23, 2017 2

Processing Streaming Human Trajectories with WSO2 CEP by Ramindu De Silva Miyuru Dayarathna Posted on Feb 27, 2017

Key Takeaway Points and Lessons Learned from QCon San Francisco 2016 by Abel Avram Posted on Dec 14, 2016

How to Boost Your Skills to Become a Better Developer by Houssam Fakih Boris Gonnot Posted on Nov 03, 2016

How Ousta Simulates Rides within a Two-Minute Test Cycle by Mostafa Saeed Posted on Oct 30, 2016 3

High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework by Artem Dmitriev Posted on Mar 29, 2016 2

Big Data Processing with Apache Spark - Part 3: Spark Streaming by Srini Penchikala Posted on Jan 07, 2016 7

Reactive Messaging Patterns with the Actor Model Book Review and Q&A with Vaughn Vernon by Jan Stenberg Posted on Oct 06, 2015 2

Storm Applied Review and Q&A with the Authors by Sergio De Simone Posted on Jul 27, 2015

Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse by Kai Wähner Posted on Sep 10, 2014 8

Large Scale Event Tracking with RabbitMQ by Dr. Claire Fautsch Posted on Aug 13, 2014 1

Exchanging Industry Experiences with Agile Methodologies by Ben Linders Posted on May 23, 2014

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Presentations about Event Driven Architecture rss

35:24
Observability, Event Sourcing and State Machines by Peter Lawrey Posted on Jun 21, 2017
51:39
Event Sourcing on the JVM by Greg Young Posted on Jun 13, 2017 3
43:43
The Complexity That Is Hidden in Microservices and Event Sourcing by Satyajit Ranjeev Posted on Jun 09, 2017
50:57
Spotify's Reliable Event Delivery System by Igor Maravic Posted on Jun 08, 2017 1
50:56
Real-Time & Personalized Notifications @Twitter by Gary Lam Saurabh Pathak Posted on Jun 06, 2017
47:47
Stream Processing & Analytics with Flink @Uber by Danny Yuan Posted on Mar 25, 2017
39:21
Demistifying DynamoDB Streams by Akshat Vig Khawaja Shams Posted on Mar 25, 2017
01:10:46
Cloud Native Streaming and Event-driven Microservices by Marius Bogoevici Posted on Jan 14, 2017
39:00
ETL Is Dead, Long Live Streams by Neha Narkhede Posted on Dec 06, 2016 1
39:47
Event Sourcery by Sebastian von Conrad James Ross Posted on Sep 17, 2016
53:32
Adventures in Elm: Events, Reproducibility, and Kindness by Jessica Kerr Posted on Aug 02, 2016
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Books about Event Driven Architecture rss

InfoQ eMag: Hadoop Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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