InfoQ Homepage Cloud Computing Content on InfoQ
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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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Big Data Infrastructure @ LinkedIn
Shirshanka Das describes LinkedIn’s Big Data Infrastructure and its evolution through the years, including details on the motivation and architecture of Gobblin, Pinot and WhereHows.
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From Data Science to Production–Deploy, Scale, Enjoy
Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.
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Architecting for Failure in a Containerized World
Tom Faulhaber discusses the new container-based toolbox for building systems that are robust in the face of failures, how to recover from failure and how the tools can be used to best effect.
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Petabytes Scale Analytics Infrastructure @Netflix
Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.
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Java SE 9: Continuing to Thrive in the Cloud!
Bernard Traversat discusses JVM enhancements addressing cloud deployment requirements such as G1 GC, segmented code cache, contended locking, and density String.
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Serverless Meets SaaS: The Ultimate Match
Tod Golding discusses the architecture and design strategies associated with building and delivering SaaS solutions in a serverless model.
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Architecting for Cloud Native Data: Data Microservices Done Right Using Spring Cloud
Fred Melo introduces Spring Cloud Stream from a Data Microservices perspective.
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Amazon ECS: a Platform to Run Production Containers
Uttara Sridhar dives deep into the architecture behind Amazon ECS and demonstrates the key features to build and run a container-based application on Amazon ECS.
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Elastic Efficient Execution of Varied Containers
Sharma Podila reviews the state of containers usage in Netflix, discussing projects Titus and Mantis, AWS integration, and using Fenzo to run an elastic infrastructure for a varied mix of workloads.
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Mesos: A State-of-the-art Container Orchestrator
Jie Yu discusses how containers are managed in Mesos, the future of container support in Mesos, and shows some of the new container networking and storage features.
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Building a Microservices Platform with Kubernetes
Matthew Mark Miller discusses Kubernetes’ primitives and microservices patterns on top of them, including rolling deployments, stateful services and adding behaviors via sidecars.
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