InfoQ Homepage Clustering & Caching Content on InfoQ
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Building Highly-resilient Systems at Pinterest
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.
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Bringing javax.cache'ing to your Application
Chris Dennis and Alex Snaps discuss introducing caching into a Spring application to solve real world problems.
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Workers, Queues, and Cache
Jason McCreary takes a look at using background job processes, messaging queues, and cache to help an application scale.
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Docker Clustering - Batteries Included
Jessie Frazelle talks about which customer cases drove Docker clustering and describes the key technical decisions and code in the implementation.
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Cluster Management at Google
John Wilkes shares lessons learned managing clusters at the scale of Google.
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Caching with Spring: Advanced Topics and Best Practices
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.
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Web Clustering, Integration with Terracotta, BigMemory, Quartz & Grails
Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.
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Caching and Messaging Improvements in Spring Framework 4.1
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.
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How WebMD Maintains Operational Flexibility with NoSQL
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.
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Fault Tolerance 101
Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.
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Real World Akka Recipes
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.
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Web Clustering, Integration with Terracotta, Quartz & Grails 2
Ryan Vanderwerf explains setting up Terracotta and clustering an applications using Ehcache, HTTP Session in Tomcat, and Quartz.