InfoQ Homepage Architecture & Design Content on InfoQ
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.
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Beyond Chatbots: The Future of AI and Business
Will Murphy explores chatbots, the use of AI and what’s in store for businesses using them in the future.
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Latency Sensitive Microservices
Peter Lawrey looks at the differences between microservices and monolith architectures and their relative benefits and disadvantages.
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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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Designing Pragmatic RESTful APIs
Anupama Natarajan presents key principles to consider when designing RESTful APIs based on her experience designing them for real-world applications.
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Building Hypermedia Clients
Todd Brackley demonstrates provisioning a network of data through a JavaScript client to show that there is no magic and talks through some of the major design issues.
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Building Reliability in an Unreliable World
Greg Murphy describes how GameSparks has designed their platform to be tolerant of many things: unreliable and slow internet connectivity, cloud resources that can fail without warning, and more.
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Building and Trusting a Cloud Bank
Greg Hawkins discusses how Starling Bank, part of the new movement in FinTech challenger banks, is innovating while addressing the need for resilience in a world where failure is everywhere.
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Assuring Crypto-code with Automated Reasoning
A.Tomb describes the capabilities of some open source tools that allow us to automatically determine whether a low-level cryptographic implementation matches a higher-level mathematical specification
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Building a Bank with Go
Matt Heath discusses why Go is suited for microservices, what makes it attractive to high volume, low latency, distributed apps, and how easy it is to adopt into existing systems and organisations.
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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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