Greg Murphy describes how GameSparks has designed their platform to be tolerant of many things: unreliable and slow internet connectivity, cloud resources that can fail without warning, and more.
Noriaki Tatsumi discusses building a microservices architecture on Spring Cloud that's reliable, resilient, and scalable.
Josh Evans discusses architectural patterns used by Netflix to enable seamless, multi-region traffic management, reliable, fast data propagation, and efficient service infrastructure.
Travis Reeder thinks performance, memory, concurrency, reliability, and deployment are key to exploring Go and its value in production. Travis describes how it’s worked for Iron.io.
Jordan Day introduces the Elixir language, its syntax and the semantics of an Elixir application, highlighting differences that make Elixir apps more reliable than those written in other languages.
Brian Shirai proposes using different interoperable languages throughout the life of a product, how to build reliable systems from less reliable components, along with examples from Rubinius 3.0.
Donald Belcham explains how to improve a system’s reliability by using appropriate code patterns.
Bart De Smet explains what it took to bring the concepts of Reactive Extensions (Rx) to the cloud to deal with latency, scale, reliability, and other concerns.
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
Camille Fournier explains what projects ZooKeeper is useful for, the common challenges running it as a service and advice to consider when architecting a system using it.
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
Robert Virding describes how Erlang was developed to solve the concurrency and reliability requirements of telecommunications, dealing with challenges that are similar with those of cloud computing.