InfoQ Homepage Distributed Programming Content on InfoQ
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The Medieval Census Problem
Andy Walker discusses the principles of distributed computing used in medieval times, and the need to understand high latency, low reliability systems, bad actors, data migration, and abstraction.
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When Do I Need a Blockchain? A Hands-on Comparison of Decentralized and Centralized Application Development
Michail Brynard explores the differences between apps and dapps and look at the architectural decisions behind some real-world decentralized applications, reviewing best practices and hybrid apps.
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Distributed Ledgers: Anonymity and Immutability at Scale
Eleanor McHugh discusses distributed ledgers, what they are, what they are useful for and the privacy concerns they raise.
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Our Concurrent Past; Our Distributed Future
Joe Duffy talks about the concurrency's explosion onto the mainstream over the past 15 years and attempts to predict what lies ahead for distributed programming, from now til 15 years into the future.
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Ingest & Stream Processing - What Will You Choose?
Pat Patterson and Ted Malaska talk about current and emerging data processing technologies, and the various ways of achieving "at least once" and "exactly once" timely data processing.
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Monitoring and Troubleshooting Real-Time Data Pipelines
Alan Ngai and Premal Shah discuss best practices on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
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Connecting Stream Processors to Databases
Gian Merlino discusses stream processors and a common use case - keeping databases up to date-, the challenges they present, with examples from Kafka, Storm, Samza, Druid, and others.
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A Brief History of Chain Replication
Christopher Meiklejohn talks through a history of chain replication, starting with the original work from 2004 by van Renesse and Schneider up to new and unique designs of chain replication.
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Functional Distributed Programming with Irmin
Anil Madhavapeddy introduces the Irmin library by means of a functional queue, shows how the Git mirroring works, and then demonstrates some more complex applications.
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Exercises in Programming Style
Crista Lopes demos writing the same program using multiple styles, showcasing the richness of human computational thought and the need to avoid being stuck with one or two styles for life.
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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!
Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.
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Five Techniques to Improve How You Debug Servers
Tal Weiss explores five crucial Java techniques for distributed debugging and some of the pitfalls that make bug resolution much harder, and can even lead to downtime.
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