InfoQ Homepage Reliability Content on InfoQ
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On a Deep Journey towards Five Nines
Aashish Sheshadri discusses how PayPal applies Seq2Seq networks to forecasting CPU and memory metrics at scale.
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Chick-Fil-A: Milking the Most out of 1000's of K8s Clusters
Brian Chambers and Caleb Hurd share how Chick-fil-A manages connections and deployments using two to-be-announced open source projects, and lessons learned from running Kubernetes at the Edge.
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Chaos: The Last Stand against Our Robot Overlords
Nathan Äschbacher talks about Chaos Engineering and how to shift towards working with chaos instead of against it, in order to build safe, reliable, and increasingly deterministic complex systems.
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The Anatomy of a Distributed System
Tyler McMullen talks through the components and design of a real system, built to perform very high volumes of health checks, done across a cluster of machines for reliability and scalability.
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Building Reliability in an Unreliable World
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.
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Operating a High Velocity Large Organization with Spring Cloud Microservices
Noriaki Tatsumi discusses building a microservices architecture on Spring Cloud that's reliable, resilient, and scalable.
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#NetflixEverywhere Global Architecture
Josh Evans discusses architectural patterns used by Netflix to enable seamless, multi-region traffic management, reliable, fast data propagation, and efficient service infrastructure.
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Beyond the Hype: 4 Years of Go in Production
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.
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Fast, Parallel, or Reliable: Pick 3, a Tour of Elixir
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.
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The End Of General Purpose Languages: Rubinius 3.0 And The Next 10 Million Programs
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.
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Opportunities to Improve System Reliability and Resilience
Donald Belcham explains how to improve a system’s reliability by using appropriate code patterns.
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Cloud-scale Event Processing using Rx
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.
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