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?
It’s prudent business practice to only focus on your core features when getting to Minimum Viable Product (MVP). Microservices architectures allow you to outsource non-differentiated pieces of your solution to third-party providers; Use someone else for user management, billing and account management. At first blush, it might seem attractive to develop your own API analytics solution, perhaps by building on top of a web analytics tool like Amplitude, MixPanel or Segment.
New technologies always require some planning, changes, and experimentation before they merge into an enterprise stack. GraphQL adoption has been no exception to this. Companies like Airbnb, Netflix, Shopify, and other industry giants have all taken the leap to use this promising technology. In this blog, I will outline a few key considerations for creating your new service, deploying it, and monitoring the service.
ContainIQ runs all infrastructure on Google Cloud (GKE), and was able to get Speedscale installed within a few minutes. After installing the Speedscale operator, ContainIQ began capturing traffic from the primary gateway where service calls come into a cluster.
