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Is REST Still a Relevant API Style?

What kind of API style should you be using? From SOAP, to REST, GraphQL, and new styles like gRPC, there are many competing standards for designing APIs and the way consumers interact with them. We’ve written about each before, but as the industry changes rapidly, there are always new concerns and opportunities for comparison. In…

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How Microservices Could Save Medical IoT

As the growing number of consumer IoT devices make our lives easier, they are collecting vast amounts of useful data. This trend has just started making its way into the fitness and healthcare industries, with devices like smart watches, clothing sensors, and sociometric badges collecting millions of body temperatures, step counts, and heart rates. This…

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Why API Security is More Important Than Ever

API Security: In Pursuit Of MASH Between the Cambridge Analytica incident at and the General Data Protection Regulation (GDPR) kicking in across Europe from the 25th of May, it’s safe to say that on security is set to take center stage like never before. A repercussion of all this for API developers is a…

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20+ API Management Solutions

API management solutions are almost dime a dozen in the current space – this is a good thing, as never before have their been choices for the average API host to integrate into the API. These options are diverse, well-tested, and often enterprise-grade, with even smaller offerings ivering excellent value with relatively low effort…

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Using Kubernetes to Build Versatile Microservices

Kubernetes is often talked about, but seldom fully understood system in the API industry. This is largely because containerization, the principle approach that Kubernetes is built upon, is still not nearly as ubiquitous as the classical approach to API design and resource management. However, Kubernetes is possibly one of the most powerful systems that API…

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Why You Should Be Designing APIs to Spec

There’s a good reason why building APIs can be extremely tough and time-consuming: they have to cater to both human and machine needs. Inherently, this is pretty difficult. Machines are picky and rely on pure logic; they crave rigid, hierarchical structures and definite instructions. On the other hand, humans prefer things to work on an…

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