InfoQ Homepage API Days NZ 2016 Content on InfoQ
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The Role of the CTO in Product & Platform Development
Simon Raik-Allen shares from his experience as a CTO, building great products and guiding hundreds of engineers.
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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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Reactive & Asynchronous - Adventures with APIs in Financial Trading
Michael Barker discusses several low-latency APIs used for financial trading, what makes them fast and how they compare to HTTP/REST/JSON/XML APIs.
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API Design Aesthetics
Col Perks looks at API design as a style, considering the qualities that might make an API beautiful and providing real world examples.
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Distributed Workflows with Hypermedia Clients
Glenn Block introduces Hypergoal, a way of creating distributed workflows with hypermedia clients.
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Hypermedia API Architectural Patterns
Gareth Evans and Rick Mugridge share the patterns that emerged while developing hypermedia APIs for various companies over time.
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Panel: IBM, Westpac, Certus, and Enable Discuss APIs and Microservices
Dennis Ashby moderates a panel discussing the role of APIs in building microservices and the challenges to be overcome.
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Stored Procedures as a Service
Abhishek Tiwari discusses how to use stored procedures to create a fast-track API transformation program on top of legacy systems,migrating business logic into a service tier,one store proc at a time
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API Specification Shootout
Justin Wood and Giovanni Vigorrelli compare and contrast RAML and Swagger, do a round up of the other specifications languages, and present some conclusions.
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Automatic Discovery of Service Metadata for Systems at Scale
Martina Iglesias Fernández discusses Spotify’s approach to documentation through automatic discovery of existing endpoints, service configuration, and deployment information at runtime.
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Machine Learning Your Way to Smarter API Error Responses
Steven Cooper discusses using machine learning to understand malformed API requests to not only respond with a best fit response, but capture the user errors for future responses.
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