InfoQ Homepage Caching Content on InfoQ
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How Comcast Uses Data Science and ML to Improve the Customer Experience
Jan Neumann presents how Comcast uses machine learning and big data processing to facilitate search for users, for capacity planning, and predictive caching.
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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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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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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.
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Scaling Pinterest
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.
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The Technology behind an Equity Trade
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.
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Scaling Pinterest
Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.