Savannah Whitman When your platform runs on APIs, all of those APIs need to run perfectly. Quickly resolving issues in your API isn’t just helpful, it’s mandatory. Latency and error monitoring are only the beginning: a healthy server isn’t the same thing as a healthy product. Resolving error cases and API abuse is easiest with full visibility into your API, which is where API analytics come in.
The quest for resilience and agility has driven us into the modern age of microservices. Bringing services to market on a microservice architecture demands utilization of sprawling technology offerings and tooling. While daunting at first glance, we can break down the process into 3 major categories: In this hands on series, we will use.
When you need two or more applications and services to exchange data between them on a regular basis, REST integration (or REST API integration) is one method that slowly but steadily gains status of the new and preferred standard. But as with any other project where you need to connect apps and web services via API, integrating REST requires good preparation and a solid methodology to avoid project delays, development overhead and too many errors. So, how do you do REST integration the right way?
