InfoQ Homepage Architecture Content on InfoQ
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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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Highly Available and Resilient Multi-Site Deployments Using Spinnaker
Koundinya Srinivasarao and Dodd Pfeffer discuss ways to enhance cloud resiliency and how Pivotal and Spinnaker provide continuity across multiple regions in case of a data center outage.
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Building a Data Exchange with Spring Cloud Data Flow
Channing Jackson presents a case study in the distillation of the finite patterns on each side of the data exchange and a discussion of the patterns used.
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Design Decisions for Perfect JavaScript Testing Framework
Michael Bodnarchuk discusses solving testing issues in JS: choosing proper abstraction level, choosing a running backend, dealing with asynchronicity, and choosing a test runner.
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Implementing Governance
Dean Latchana discusses collaborative approaches which support teams to deliver value.
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The Joy of Designing Deep Neural Networks
Bradley Arsenault shares the joy he felt the first time he designed a deep neural network, and how simple intuitions on neural networks have led to greater designs and accuracy.
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Internet of Tomatoes: Building a Scalable Cloud Architecture
Flavia Paganelli tells the story of 30MHz’s platform and how they ended up helping growers in 30 countries, deploying 3.5K sensors and process data at 4K events per second.
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From Batch to Streaming to Both
Herman Schaaf talks about Skyscanner’s journey to implement their data platform to stream and store millions of events per second.
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Getting Microservices and Legacy to Play Nicely Together with Event-Driven Architectures
Duston Mounts discusses how to use an event-driven architecture to connect microservices to legacy systems.
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Controlled Chaos: Taming Organic, Federated Growth of Microservices
Tobias Kunze focuses on the challenges that result from organic, federated growth and the patterns that can be applied to monitor and control these dynamic systems.
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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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Monolith Decomposition Patterns
Sam Newman shares some key principles and a number of patterns to use to incrementally decompose an existing system into microservices.
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