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47:56

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  May 02, 2017 Posted by Yao Yue  on  May 02, 2017

Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.

49:40

Causal Consistency for Large Neo4j Clusters

Posted by Jim Webber  on  Apr 07, 2017 Posted by Jim Webber  on  Apr 07, 2017

Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.

41:02

Scaling Dropbox

Posted by Preslav Le  on  Dec 20, 2016 Posted by Preslav Le  on  Dec 20, 2016

Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.

43:42

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  Dec 13, 2016 1 Posted by Yao Yue  on  Dec 13, 2016 1

Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.

28:39

Leadership Election with Spring Cloud Cluster

Posted by Dave Syer  on  Nov 15, 2016 1 Posted by Dave Syer  on  Nov 15, 2016 1

Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.

48:05

The Human Side of Microservices

Posted by John Billings  on  Sep 30, 2016 Posted by John Billings  on  Sep 30, 2016

John Billings talks about winning over those skeptical about the benefits of microservices along with tips on caching, failure, interface changes, etc. for building a distributed system architecture.

45:33

Effortless Eventual Consistency with Weave Mesh

Posted by Peter Bourgon  on  Jul 23, 2016 Posted by Peter Bourgon Matthias Radestock  on  Jul 23, 2016

Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.

39:15

How Comcast Uses Data Science and ML to Improve the Customer Experience

Posted by Jan Neumann  on  May 01, 2016 1 Posted by Jan Neumann  on  May 01, 2016 1

Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching.

56:38

How to Have Your Causality and Wall Clocks Too

Posted by Jon Moore  on  Apr 10, 2016 Posted by Jon Moore  on  Apr 10, 2016

Jon Moore talks about distributed monotonic clocks (DMC) whose timestamps can reflect causality but which have a component that stays close to wall clock time.

48:11

Building Highly-resilient Systems at Pinterest

Posted by Yongsheng Wu  on  Feb 27, 2016 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.

01:30:37

Bringing javax.cache'ing to your Application

Posted by Chris Dennis  on  Nov 05, 2015 Posted by Chris Dennis Alex Snaps  on  Nov 05, 2015

Chris Dennis and Alex Snaps discuss introducing caching into a Spring application to solve real world problems.

46:13

Workers, Queues, and Cache

Posted by Jason McCreary  on  Nov 03, 2015 Posted by Jason McCreary  on  Nov 03, 2015

Jason McCreary takes a look at using background job processes, messaging queues, and cache to help an application scale.

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