Brendan Eich surveys interesting developments in the Web platform, analysing emergent trends, and making some predictions.
Nick Kolegraff discusses common problems and architecture to support all the phases of data science and how to start a data science initiative, sharing lessons from Accenture, Best Buy, and Rackspace.
Dan Woods discusses using Spring Integration and design patterns to implement a message-driven architecture in Grails to allow for better modularity, scalability, and code reusability.
Jeremy Edberg discusses how Netflix designs their systems and deployment processes to help the service survive both catastrophic events like zone and regional outages and less catastrophic events like network latency and random instance death.
Blake Dournaee covers the often forgotten back-end architecture for mobile apps which should expose cross-platform APIs to mitigate some of the effects of mobile O/S fragmentation.
Chris Riccomini discusses: Samza's feature set, how Samza integrates with YARN and Kafka, how it's used at LinkedIn, and what's next on the roadmap.
Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.
Steve Pember discusses creating Grails applications integrating message broker technologies, especially RabbitMQ, and applying SOA principles.
Sebastian Kanthak overviews Spanner, covering details of how Spanner relies on GPS and atomic clocks to provide two of its most innovative features: Lock-free strong (current) reads and global snapshots that are consistent with external events.
Paco Nathan reviews an example data analysis application written in Cascalog used for a recommender system based on City of Palo Alto Open Data.
Daniel Gregoire introduces Gershwin, a stack-based, concatenative programming language with a Clojure runtime that targets the JVM.