The new version of Pricekite is up, which I am labeling 'beta'. It allows for interactive comparison of serverless compute pricing across Google Cloud, Amazon Web Services, and Microsoft Azure. It is located here. And the code is also on Github.

I'm pretty happy with the current results. You can repeat the results of the earlier blog, exactly. Meaning that my math was right. Though the fact that they Azure SKUs count things in 10s instead of 1s through me for a loop momentarily.

Here is the core research tools that were used to do this, along with the cloud providers private APIs:

• Azure Functions
• AWS Lambda
• Google Cloud Functions
• Google Cloud SKU Explorer

The Google SKU explorer is very helpful, I wish all the providers would add such a feature.

You can also complete the extended analysis I mentioned in my blog notes. In order to run those scenarios you increase the number of functions, transactions, or any other parameter and see how the effect of discounts dissipates, with larger volumes.

My original scenario was:

2 Functions
12,960,000 Executions/Month
512 MB Function Memory
200 ms/execution

In this scenario (which is substantive) AWS is the clear winner, because of their discounts. However, when you increase the functions to 32, Azure becomes the less expensive option because of their lower (by a little bit) base pricing.