An application network enables organizations to connect applications, data, and devices through APIs which expose their assets and data to other systems on the network. As an application network grows the more reusability it will provide. Reusing APIs goes hand in hand with a high-degree of dependency between APIs. Therefore, a high degree of dependency between your APIs means that failures during the invocation of an API will affect other API implementations and the services they offer to the application network.
A key element of any healthy API program is the ability to upgrade and migrate existing services in your ecosystem without causing fatal service disruptions. It takes a concerted effort to safely and successfully complete API migrations and, in my experience, organizations who can consistently upgrade their running systems share a common set of skills and employ similar techniques.
Hope: He’s in the system. Luis: I’m in the system? Dave: You’re in the system! Luis: The system? Hank: We’re doomed.
– Ant Man, 2015
“System” is one of the most overused and overloaded terms in technology. Data is stored in “the system”. Applications run on “the system”. Operators manage a distributed “system”. It has become so ingrained in the IT vernacular that we don’t even think about its meaning.
There are various types of APIs, the most popular of which is Web API––otherwise known as a Web Service. A Web API provides an interface for Web applications, or applications that need to connect to each other via the Internet to communicate. Web APIs have exploded exponentially, reaching over 17,000 in 2017. There are four popular subcategories of Web APIs, including SOAP, XML-RPC, JSON-RPC, and REST.
Jason Harmon, head of APIs at engaging forms tool Typeform, and namesake of the JSON schema, gave a fantastic proactive talk at a recent APIdays conference about “the things that break stuff in production.” Three things in fact.
This is the question that many of us are faced with when starting with APIs, and quite invariably, there would be either of two broad scenarios that we generally find ourselves in. We are either starting green field under the clear blue sky with every little thing to elicit, introspect, and design; or else we are in a continuum, trying to understand the current system,
Picking up from the second part of this series, this blog post will wrap up building an end-to-end API solution. For the first post, you abstracted source systems with APIs to add flexibility, ease of consumption, and increase adoption and integration possibilities.
This blog post is a guest contribution from Jonas Borjesson, Tech Lead SIP at Twilio Inc.
Harnessing the power of APIs is the key to competing in the new era of software. APIs provide the agility developers and businesses need to iterate and innovate quickly, and they’re everywhere. Businesses all over the world are looking to roll out or even acquire APIs, but if they don’t succeed at winning over developers,
In part 1 of this post, we have established the overall value proposition of defining reusable KPIs in an attempt to assess and drive the concept of reuse within your API platform. Once the capability to establish and monitor both abstract baselines and progress against them have been established within an enterprise, the next step is to determine what metrics are worth tracking, where they break down, and how they relate to each other.
A lot of enterprise IT concepts and tools have experienced dramatic change in the last decade. Several long-lived rules of thumb have faded into irrelevance. However, one conceptual holy grail has survived the volatility of the IT transformation toward all things cloud, DevOps, and APIs: reuse. Like historical explorers seeking the Northwest Passage, enterprise IT executives have long sought out ways (e.g. SOA) to drive down the cost of solution development through code reuse.
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