InfoQ Homepage Architecture & Design Content on InfoQ
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What Makes a Great API?
John Musser explains how to transform a good API into a great one based on his experience with thousands of APIs at ProgrammableWeb and API Science.
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Adopting Continuous Delivery: Adjusting your Architecture
Rachel Laycock advises on designing systems for rapid deployment, avoiding delivering pitfalls by using micro services and evolutionary architecture.
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API Security and Federation Patterns
The role of API management infrastructure in API Security, API Access Control and API Federation and its interaction with enterprise infrastructure, social identity and application developers.
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TypeScript: a Type System for Toolability
Luke Hoban introduces TypeScript and its implications for writing web applications and creating supporting tooling.
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Creating Groovy DSLs that Developers Can Actually Use
Guillaume Laforge and Paul King show how to leverage Groovy to build a Mars rover controlling DSL, including metaprogramming techniques and integration mechanisms.
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Application Architectures with Grails
Peter Ledbrook overviews several application architectures that can be done in Grails: MVC plus a DB back-end and a service layer, single-page, and event-based back-end.
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Babel: An Untyped, Stack-based HLL
Clayton Bauman introduces Babel, an open source language implemented in C, targeted for cloud computing. Other features: interpreted, untyped stack-based, postfix, supports arrays, lists and hashes.
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R for Big Data
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
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Real-World Datomic: An Experience Report
Craig Andera explains Datomic from the perspective gained in implementing and optimizing a real-world production system, detailing the Datomic indexing process.
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Tracking Millions of Ganks in Near Real Time
Garrett Eardley explores how Riot Games is using Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.
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Evolution of the Netflix API
Ben Christensen describes Netflix API's evolution to a web service platform serving all devices and users, the challenges met in operations, deployment, performance, fault-tolerance, and innovation.
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REEF: Retainable Evaluator Execution Framework
Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.
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