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01:09:29

Caching with Spring: Advanced Topics and Best Practices

Posted by Michael Plöd  on  Feb 17, 2015

Michael Plöd addresses the advanced usage of Spring's caching abstraction such as integrating a cache provider that is not integrated by the default Spring Package and overviews JCache. Demos.

01:01:06

Web Clustering, Integration with Terracotta, BigMemory, Quartz & Grails

Posted by Ryan Vanderwerf  on  Jan 31, 2015

Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.

01:26:45

Caching and Messaging Improvements in Spring Framework 4.1

Posted by Juergen Hoeller,Stéphane Nicoll  on  Dec 18, 2014

Juergen Hoeller and Stéphane Nicoll present major new features in Spring Framework 4.1: the numerous improvements around the caching abstraction, and messaging-related features.

47:43

How WebMD Maintains Operational Flexibility with NoSQL

Posted by Rajeev Borborah, Matthew Wilson  on  Jul 24, 2014

Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.

53:41

Fault Tolerance 101

Posted by Joe Armstrong  on  May 25, 2014 2

Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.

41:55

Real World Akka Recipes

Posted by Jamie Allen  on  May 01, 2014 4

Jamie Allen describes three patterns using Akka actors: handling a lack of guaranteed delivery, distributing tasks to worker actors and implementing distributed workers in an Akka cluster.

57:33

Web Clustering, Integration with Terracotta, Quartz & Grails 2

Posted by Ryan Vanderwerf  on  Jan 29, 2014

Ryan Vanderwerf explains setting up Terracotta and clustering an applications using Ehcache, HTTP Session in Tomcat, and Quartz.

51:26

Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

40:29

The Technology behind an Equity Trade

Posted by John O'Hara  on  Aug 14, 2013 3

John O’Hara discusses banking business and technology integration, covering: low-latency, high-frequency trading, in-memory caches, multi-terabyte time-series databases, and contracts in NoSQL stores.

48:40

Scaling Pinterest

Posted by Yashwanth Nelapati, Marty Weiner  on  Mar 26, 2013

Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.

36:25

Caching Hypermedia APIs

Posted by Tim Stokes  on  Jan 29, 2013

Tim Stokes discusses various URI caching strategies providing real life examples relying on some of the natural behaviors that are built into the HTTP 1.1 protocol.

Caching, NoSQL & Grids - What the Banks Can Teach Us

Posted by John Davies  on  Sep 07, 2012 4

John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.

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