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01:19:52

Efficient Client-Server Communication with Differential Synchronization and JSON Patch

Posted by Brian Cavalier  on  Apr 18, 2015

Brian Cavalier shows how Differential Synchronization can be used with JSON Patch to synchronize application data between clients and servers over HTTP Patch, WebSocket, and STOMP.

47:52

HTTP/2 and a Faster Web

Posted by Omer Shapira  on  Apr 16, 2015

Omer Shapira introduces HTTP/2 (and SPDY), exploring the impact the protocol has on application design, and telling the story of LinkedIn adopting SPDY on its network infrastructure.

43:39

Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't

Posted by Roy Rapoport  on  Apr 11, 2015

Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.

51:13

Evolutionary Architecture and Microservices - A Match Enabled by Continuous Delivery

Posted by Rebecca Parsons  on  Apr 11, 2015

Rebecca Parsons explores the relationship between evolutionary architecture, continuous delivery and microservices, focusing on how they support each other in the creation of complex systems.

48:58

Thinking in a Highly Concurrent, Mostly-functional Language

Posted by Francesco Cesarini  on  Apr 08, 2015

Francesco Cesarini illustrates how the Erlang way of thinking about problems leads to scalable and fault-tolerant designs, describing 3 ways of clustering Erlang nodes within the server side domain.

52:35

Cluster Management at Google

Posted by John Wilkes  on  Apr 04, 2015

John Wilkes shares lessons learned managing clusters at the scale of Google.

49:24

Delivering GOV.UK: DevOps for the Nation

Posted by Anna Shipman  on  Apr 03, 2015

Anna Shipman explains how the GOV.UK team implemented the DevOps culture – the people, the process, and the technical details of what tools they use and how they are integrated.

57:10

Customer Insight, from Data to Information

Posted by Thore Thomassen  on  Mar 27, 2015

Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.

01:06:43

Big Data in Memory

Posted by John Davies  on  Mar 14, 2015

John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.

44:44

Deis + Mesos: Docker PaaS at Scale

Posted by Gabriel Monroy  on  Mar 13, 2015

Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.

44:13

Gobblin: A Framework for Solving Big Data Ingestion Problem

Posted by Lin Qiao  on  Mar 12, 2015

Lin Qiao discusses the architecture of Gobblin, LinkedIn’s framework for addressing the need of high quality and high velocity data ingestion.

51:52

Continuous Delivery the French Way!

Posted by Arnaud Pflieger, Baeli Dimitri  on  Mar 12, 2015

Arnaud Pflieger, Baeli Dimitri present their practices and tools: Octopus-a git branching model, no dedicated testers, no ops, Selenium, Zeno – a diff tool comparing production and staging code.

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