You need to analyze the huge amount of information that is flowing through the API Proxies. Using Edge API Analytics, you can do this. You can convert this data into graphs and charts using Edge UI or one may use the raw data to help you do the offline analysis. For this, use the Edge management APIs.
Get an insight into the traffic
This will give you the answer to common questions such as how the API traffic is faring over time. Get in touch with the apigee consultation team if you have doubts on any aspect of this. You will also be able to determine which methods are the most popular and who the top developers are. By understanding when the API response times are the fastest or slowest, one can adjust the deployment to increase business in one sector or decrease it. This is because you will be able to s which geographical regions are generating the most traffic.
All this helps you to troubleshoot problems and improve the APIs. You make better business decisions using the API programs. Your API team can use the Edge API Analytics to improve the apps and APIs.
Interest in the analytics from many sides
You get very interesting APIs from the API team because they are tapping into the system to do this. They keep their focus on the API program to see how individual APIs are performing. This will tell them how to improve the API. App developers share analytics information to improve the app. Creative apps are being built all the time by these developers through their innovations. They help to drive the revenue of the enterprise up. The developers get an idea of the performance of their apps through the analytics. They can gauge how they are contributing to the bottom line in the effort by the enterprise.
The operation team or the Ops team keeps looking for traffic patterns to be able to add backend resources when the time’s right. It also helps them make critical adjustments when needed to keep the enterprise functioning well. Most concerns use the services of apigee consulting firms. The business owner wants to know how the API is doing and if there is something that can help it function better. He also wants to know when the system is paying him money and where he can make his future investments.
Parameters used in analytics
Edge API Analytics makes use of a lot of data such as request latency, response time, target errors, request size, developer email address, API product name, and app name. Edge natively collects this huge amount of data. You could also collect custom data about API proxies, products, apps, or developers. On such instance is when you need to collect data from request headers, query parameters, variables that tell how you define your API, and request and response bodies.
Two parameters determine how long and when you can use analytics data. This is the data delay interval and data retention. By changing your plan you can view the data for one month to one year.
