[alzoid]

I find the costs and use cases take up time to try and figure out. I wanted to prototype a IOT device pushing data to the cloud. I used Google IOT Core. After reading a bunch of tutorials I streamed the data to Big Query. I used a device to send about 1000 readings and it cost me around $150 USD. I have no idea why it cost so much. It used 1000 hours of cpu time. I find that so confusing. Why was that much CPU required for so little data? It was 5 JSON fields into a table. Did I choose the wrong thing to ingest the data? Should I use functions?

So I am going back and seeing what else is possible. I tried setting up a PostgreSQL Compute VM but then I needed another specialized instance to act as a go between for allowing access for serverless vpc access. I get charged a bit for everything. I just want to build a product and see if people want it. I have no idea what to charge because I don't understand the costs. Do I spend time figuring out the costs of every little thing that is touched or do I install something on a hosted server?

I feel like there should be out of the box setups for this stuff in Google cloud. They have so much to offer, I think tying it together in easy to use and price packages would get a lot of people using it who need to rapidly get something made.