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01:27:28

Microservices to FastData in the Enterprise with Spring

Posted by John T Davies  on  Mar 11, 2016

John T Davies is using Spring Integration and Spring Boot to ingest gigabytes of complex data into two different in-memory data grids (IMDGs), showing the design and implementation with several demos.

44:40

The Simple Life of ReSTful Microservices

Posted by Sebastien Lambla  on  Mar 10, 2016 1

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

48:04

Tor in Haskell & Other Unikernel Tricks

Posted by Adam Wick  on  Mar 06, 2016

Adam Wick discusses the unikernel implementation of Tor, what makes Tor an attractive target for a unikernel, and what aspects of unikernels are particularly interesting when considering Tor.

35:31

Resilience Planning & How the Empire Strikes Back

Posted by Bhakti Mehta  on  Mar 06, 2016 1

Bhakti Mehta approaches best practices for building resilient, stable and predictable services: preventing cascading failures, timeouts pattern, retry pattern, circuit breakers and other techniques.

01:24:19

Building Microservices with Event Sourcing and CQRS

Posted by Michael Ploed  on  Mar 04, 2016 3

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.

30:46

Towards Immutable Resources

Posted by Mark Derricutt  on  Mar 02, 2016

Mark Derricutt discusses the importance of having different read and write data models when working with RESTful web APIs.

51:29

The Raft Consensus Algorithm

Posted by Diego Ongaro  on  Mar 02, 2016

Diego Ongaro introduces Raft, a consensus algorithm for managing a replicated log by separating the key elements of consensus and reducing the number of states that must be considered.

01:19:35

Supercharging Operations and Analytics: Using Spring XD to Support Analytics and CEP

Posted by Joseph Paulchell  on  Feb 28, 2016 1

Joseph Paulchell discusses the journey from batch-oriented processes using databases to a real-time data streaming solution and the significant benefits achieved as well as the challenges encountered.

01:29:52

Introducing CallTracing(tm) Based on RabbitMQ, Spring and Zipkin

Posted by Monish Unni  on  Feb 28, 2016

Monish Unni discusses how E*Trade’s disparate services are stitched together using RabbitMQ (AMQP protocol) and Spring Proxies to form the enablement tier to provide data to Zipkin.

38:48

Architecting Distributed Databases for Failure

Posted by Fangjin Yang  on  Feb 27, 2016

Fangjin Yang covers common problems and failures seen with distributed systems, and discusses design patterns that can be used to maintain data integrity and availability when everything goes wrong.

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.

43:48

Inside Yelp's SOA Infrastructure

Posted by Kyle Anderson  on  Feb 27, 2016

Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.

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