InfoQ Homepage Scalability Content on InfoQ
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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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Achieving Tangible Business Benefits with the Scaled Agile Framework
Dean Leffingwell describes the values, principles and practices of the Scaled Agile Framework, how it is delivering faster time-to-market, more engagement, higher quality, and increased productivity.
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Disciplined Agile Delivery (DAD): The Foundation for Scaling Agile
Mark Lines keynotes on the Disciplined Agile Delivery (DAD) framework, scaling an Agile strategy, and practices for successfully scaling Agile.
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Putting People First – Building and Sustaining Awesome Distributed Teams at Scale
Mike Breeze and Ma Qiang share the story of a distributed team and its Agile transformation, placing individuals and interactions over processes and tools and avoiding the dark side of Agile.
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Building Highly Scalable Spring Applications with In-memory Distributed Data Grids
John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. They demonstrate how to effectively build highly scalable applications with GemFire/Apache.
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Scaling Uber
Matt Ranney covers the evolution of Uber's architecture and some of the systems they built to handle the current scaling challenges.
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Stream Processing at Scale with Spring XD and Kafka
Marius Bogoevici demoes how to unleash the power of Kafka with Spring XD, by building a highly scalable data pipeline with RxJava and Kafka, using Spring XD as a platform.
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Data Driven Action: A Primer on Data Science
S Aerni, S Ramanujam and J Vawdrey present approaches and open source tools for wrangling and modeling massive datasets, scaling Java applications for NLP on MPP through PL/Java and much more.
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Create Elegant Builds at Scale with Gradle
Hans Dockter discusses how to solve the challenges of standardization, dependency management, multi-language builds, and automatic build infrastructure provisioning.
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LinkedIn's Active/Active Evolution
Erran Berger discusses how they scaled architecture at LinkedIn across multiple data centers.
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