InfoQ Homepage Distributed Systems Content on InfoQ
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Modern Distributed Optimization
Matt Adereth talks about the Black-box optimization techniques, what’s actually going on inside of these black-boxes and discusses an idea of how they can be used to solve problems today.
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One and Only One Process in a Distributed System
Nathan Herald discusses the possibility to create a distributed system with one process representing every user / shared resource in Elixir.
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Reasoning about Complex Distributed Systems
Erich Ess discusses technical tools needed to gain information on a complex system and practical approaches to convert that information into an actual understanding of the system.
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An Introduction to Distributed Tracing and Zipkin
Adrian Cole overviews debugging latency problems using call graphs created by Zipkin and reviews the ecosystem, including tools to trace other languages and frameworks.
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Big Ideas: Decentralized Storage
David Vorick talks about the need for distributed/decentralized storage, real life use cases for distributed storage systems, dealing with data loss in a distributed system, overviewing IPFS and Sia.
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Applied Distributed Research in Apache Cassandra
Jonathan Ellis explains the challenges and successes Cassandra has had in creating transactions, materialized views, and a strongly consistent cluster membership within this peer-to-peer paradigm.
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Distributed Systems Theory for Practical Engineers
Alvaro Videla reviews the different models: asynchronous vs. synchronous distributed systems, message passing vs shared memory communication, failure detectors and leader election problems, etc.
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From Microliths to Microsystems
Jonas Boner explores microservices from first principles, distilling their essence and putting them in their true context: distributed systems based on reactive principles.
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Challenging Perceptions of NHS IT
Edward Hiley, Dan Rathbone talk about how NHS Digital has built a highly secure and resilient system for processing patient data, applying techniques more often used in the cloud to bare metal servers
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Causal Consistency for Large Neo4j Clusters
Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.
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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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Demistifying DynamoDB Streams
Akshat Vig and Khawaja Shams discuss DynamoDB Streams and what it takes to build an ordered, highly available, durable, performant, and scalable replicated log stream.