InfoQ Homepage Architecture Content on InfoQ
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Redesigning PayPal APIs for Scale and Simplicity
Deepak Nadig, Praveen Alavilli present how PayPal redesigned its APIs based on lessons learnt developing their services in over 14 years, and the principles, patterns and anti-patterns used.
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Scaling Pinterest
Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.
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Grails Transactions
Burt Beckwith discusses performing transactions in Grails, covering services, customizing transaction attributes (isolation, propagation levels), two-phase commit, using JMS, and testing the code.
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Graph Computing at Scale
Matthias Broecheler discusses graph computing, introducing the Aurelius graph cluster enabling graph computing at scale by building on distributed systems like Cassandra, HBase, and Hadoop.
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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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Ember.js Advanced Patterns
Paul Chavard discusses advanced techniques for building large EmberJS applications with Ember Data.
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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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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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