InfoQ Homepage Distributed Systems Content on InfoQ
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Essential Complexity in Systems Architecture
Laura Nolan looks at some real distributed system architectures and examines the tradeoffs made, showing how simple systems can create complex and difficult to understand behaviors.
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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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InfoQ Live Roundtable: Observability Patterns for Distributed Systems
The panelists explore how a sound observability strategy can help mitigate operational costs and avoid common pitfalls in monitoring distributed systems.
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Distributed Programming, Hash Tables, and Fun!
Thomas Gebert and Nick Misturak demonstrate how they built a distributed hash-table video-sharing system, the technical hurdles encountered, and the pros/cons of using functional languages to do so.
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Why Distributed Systems Are Hard
Denise Yu talks about the complexity of distributed systems and why one needs to account for the human factor when designing a complex system.
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The Evolution of Distributed Systems on Kubernetes
Bilgin Ibryam takes us on a journey exploring Kubernetes primitives, design patterns and new workload types.
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Kafka: A Modern Distributed System
Tim Berglund covers Kafka's distributed system fundamentals: the role of the Controller, the mechanics of leader election, and the role of Zookeeper today and in the future.
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Beyond the Distributed Monolith: Rearchitecting the Big Data Platform
Blanca Garcia Gil talks about how BBC re-architected a distributed monolith, shares the lessons learnt from operating it for nearly 3 years, and how they designed their new microservices architecture.
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Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Akhilesh Gupta talks about how Linkedin uses the Play/Akka Framework and a scalable distributed system to enable live interactions at massive scale at extremely low costs across multiple data centers.
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"This Website is Not Secured," You Had One Job: Configuring the Edge Proxy!
Damien Duportal defines what an edge router, a reverse proxy and a load-balancer are, then discusses Traefik and how they made Traefik distributed, scalable and fault tolerant.
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Architectures Panel
How do big operators differ from smaller disruptors? The panelists examine the different architectures that power these systems.
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Fault Tolerance at Speed
Todd Montgomery discusses the techniques and lessons learned from implementing Aeron Cluster. His focus is on how Raft can be implemented on Aeron.