When we started, we thought everyone could use it from startups to medium sized companies. What we learnt is that the most value comes for the enterprises. The reason is they have used Terraform to decentralize the infra provisioning, so now instead of a central platform team making all the IaC changes, you have hundreds or thousands of engineers making changes every month.
Each of them are making a lot of decisions on the infra. and that combines with the crazy pricing models from the cloud providers was saving companies a lot of money.
Then, we saw how much time is saved when you catch it at this point vs after the fact. Basically avoiding a bunch of tech debt
If you're primarily serving enterprise then the $250/mo foot in the door price makes sense. No reason to make too aggressive of a play for the small market/mid market.
I'll go one step further - Ali (my brother and founder), has a PhD in cloud cost modelling! 9 million live prices across AWS, Azure and GCP is pretty insane.
hahaha we could also track if you typed too fast! ... actually, this is an actual idea, if you use AI to generate the code ... hmmm; that would then be a fun project vs a cloud cost saving one
haha ahh I think it goes in waves in the US, but you got me - I grew up in Scotland, and recently moved to the US full time. So the EU mindset is still here :)
Totally - something I've been thinking a lot about...
I got pulled into these diets at one point in my life - I remember doing atkins, then went full vegan for a while, then went only meat lol
The diets were meh. But the cool thing was that I learnt so much about food in general! I honestly didn't know much about food growing up. I feel like I still don't know that much, but I know the basics, and i'm not afraid of digging into some of the details.
I appreciate the love. Yea, that was the cool thing during the research - if we reduce from a large to a medium, it both saves money and reduces carbon. Win - Win! Company can save money at the same time as reducing the environmental impact.
Yea, I actually saw something similar in the early days of Infracost, when we didn't track that many price points. The % change and the directionality was really helpful for engineers. Then we iterated on the prices, added more coverage etc, and the accuracy increased to a point where people trust the output of Infracost more than the AWS pricing calculator. That was a cool learning moment for me.
That's a great question - it is a hard thing to build for sure. We started talking to the CTO office of Google about it, and exactly as you say, it gets into the details. The folks at Greenpixie have been doing a lot of research on this, so when we spoke to a few of their big customers (Like Mastercard), they told us about the process they went through to evaluate the data, and trusted it from their ESG initiatives too.
Let me ask one of the Greenpixie folks to jump in here, maybe they can explain how they do it!
Each of them are making a lot of decisions on the infra. and that combines with the crazy pricing models from the cloud providers was saving companies a lot of money.
Then, we saw how much time is saved when you catch it at this point vs after the fact. Basically avoiding a bunch of tech debt
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