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44:40

The Simple Life of ReSTful Microservices

Posted by Sebastien Lambla  on  Mar 10, 2016 2

Sebastien Lambla explores how complexity can be reduced to its smallest cohesive parts, communication normalized through evolvable contracts, ReSTful and event-driven interfaces.

01:24:19

Building Microservices with Event Sourcing and CQRS

Posted by Michael Ploed  on  Mar 04, 2016 4

Michael Ploed talks about the distributed data management challenges that arise in a microservices architecture and how they can be solved using event sourcing in an event-driven architecture.

48:11

Building Highly-resilient Systems at Pinterest

Posted by Yongsheng Wu  on  Feb 27, 2016

Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.

26:32

Light and Fluffy APIs in the Cloud

Posted by Shiva Narayanaswamy  on  Feb 16, 2016

Shiva Narayanaswamy discusses event driven architectures, serverless architectures, identity management and security related to building APIs in the cloud.

01:07:34

Richer Data History with Event Sourcing

Posted by Steve Pember  on  Jan 15, 2016

Steve Pember presents the basic concepts of Event Sourcing, its role on analytics and performance, and the importance of storing historical events to get a view on data at any time.

48:32

Demystifying Stream Processing with Apache Kafka

Posted by Neha Narkhede  on  Dec 25, 2015

Neha Narkhede describes Apache Kafka and Samza: scalability and parallelism through data partitioning, fault tolerance, order guarantees, stateful processing, and stream processing primitives.

01:29:08

Stream Processing at Scale with Spring XD and Kafka

Posted by Marius Bogoevici  on  Dec 24, 2015

Marius Bogoevici demoes how to unleash the power of Kafka with Spring XD, by building a highly scalable data pipeline with RxJava and Kafka, using Spring XD as a platform.

42:23

Stream Processing in Uber

Posted by Danny Yuan  on  Dec 04, 2015

Danny Yuan discusses how Uber uses stream processing to solve a wide range of problems, including real-time aggregation and prediction on geospatial time series, and much more.

50:36

Powering the Industrial Enterprise: Introducing the IOT Platform-as-a-Service

Posted by Jesus Rodriguez  on  Oct 31, 2015

Jesus Rodriguez explores the characteristics of the IOT PaaS vs. predecessor PaaS architectures, focusing on device management, event driven integration, real-time analytics and offline communication.

44:41

Pulsar: Real-time Analytics at Scale

Posted by Sharad Murthy, Tony Ng  on  Sep 13, 2015

Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.

53:38

Reactive Programming at Cloud-Scale and Beyond

Posted by Bart de Smet  on  Sep 10, 2015

Bart de Smet discusses how the reactive programming paradigm can be used for event stream processing and how it can be applied from small devices all the way to cloud-scale infrastructures.

42:29

Reactive Stream Processing at Netflix

Posted by Justin Becker, Neeraj Joshi  on  Sep 06, 2015

Justin Becker & Neeraj Joshi describe Mantis, discuss the challenges associated with designing for the cloud, processing billions of events, all while being cost sensitive.

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