Estimating the costs for a proof-of-concept solution, including all services
To build relatively accurate costing models, Ocean Smart needed certain estimates to be made based on logic and some guesswork. When you're building your costing models, be mindful that it is very difficult to get exact costs initially. As Ocean Smart was able to bring the solution that was developed into a production state, they started to see how long it took to move data, how much data was being stored to maintain the model, how much compute was required, and how long it would take to execute model training and retraining. In turn, they began to build a basis to add more compute that was required to meet internal SLAs for processing time. The remainder of this section will go through the decisions they needed to make when it came to building an estimate for a Form Recognizer proof of concept solution in Azure. The prices and tiers of each of the components are built in the East US 2 region of Azure...
