InfoQ Homepage Scalability Content on InfoQ
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WebSockets, Reactive APIs and Microservices
Todd Montgomery investigates whether WebSockets, HTTP/2, Reactive Streams and microservices can deliver the high scalability, resiliency, and ease of development promised.
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Scaling Organizations
Alexander Grosse discusses the principles behind building successful organizations that are growing with examples from SoundCloud and Twitter.
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Google Cloud Platform for the Enterprise
Jay Marshall and Vic Iglesias talk about how GCP was built for the enterprise, enabling users to deploy their applications on the same infrastructure Google uses for search, YouTube or GMail.
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From 0 to 1000 Apps: The First Year of Cloud Foundry at The Home Depot
Anthony McCulley describes The Home Depot’s first year with Cloud Foundry, adopting the platform, scaling to hundreds of developers across multiple data centers, and mistakes made along the way.
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Scaling Container Architectures with OSS & Mesos
David Greenberg discusses how Two Sigma was able to scale up their research to harness tens of thousands of CPUs and the challenges faced.
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Scaling Uber to 1,000 Services
Matt Ranney talks about Uber’s growth and how they’ve embraced microservices. This has led to an explosion of new services, crossing over 1,000 production services in early March 2016.
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Scaling Agile - The View from Above
Tony Grout and Chris Matts share stories from their several year multi-company journey towards scaled agile, showing how to look at Agile from an organizational perspective and not through tools.
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Successful Go Program Design, 6 Years On
Peter Bourgon presents some of the idioms, design patterns, and practices that have proven themselves developing successful, scalable, and sustainable code using Go.
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Large-Scale Stream Processing with Apache Kafka
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.
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Streaming Auto-scaling in Google Cloud Dataflow
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.
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Real World Experience Report on Running Docker
Ben Hall shares his experience working with Docket for development, testing and deployment into production, discussing scalability, resource management, security and other related issues.
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Service Discovery and Clustering for .NET developers
Ian Cooper looks at Service Discovery and Clustering approaches and tools, and shows .NET developers how to work with tools such as Serf, Consul, and Zookeeper.
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