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Defining a Quality Standard for SaaS and Cloud Services

The world is increasingly reliant on APIs to drive mobile apps, services and corporate operations. But how do you measure the quality of the APIs you use or depend on? APIContext have been working on this problem for over 2 years, looking at the different factors that impact API and Cloud quality.

And we came to realize that the classically used metrics don’t really answer the question of actual quality of service.

You need more than the server uptime or server-side response latency you’re delivering or receiving from a supplier.

To simplify this process, APIContext have developed the CASC Score (Cloud API Service Consistency). We developed Machine Learning algorithms, statistical analysis techniques and our patent pending global network of collection agents. Now we have a way to identify, with a simple to read score, the quality of any APIs. This allows our clients to compare different APIs in a true Apples to Apples way.

Finally, we have been able to relate the CASC Score to the likely annual costs per API to provide support. This includes investigating problems and reviewing customer raised support tickets costs money and the negative impact on your users. With APIContext and the CASC score we can help our clients zero in on problems before they impact your users.

We’ve prepared a White Paper explaining our approach. We invite you to download and review it. And please feel free to reach out so we can start a Proof of Value to monitor the APIs you rely on. Start measuring the APIs you supply to your customers!


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