We use pepperreport.io to have information about how every release impact our reponse time. It doesn't require anything on our stack and is a correct estimation of the impact for our users.
I'm pretty sure that Google have paid lawyer to check if the trademark was free before using it. If they are using it, they are confident about any attacks on their use. Good luck.
I've already look at http://pumpkindb.org/ but finally use TrailDB. Else, there's also the leading InfluxDB for Time-Series DB. But if the volume isn't very high, a MySQL/PGSQL could satisfy no?
Is volume the only thing that we go for Time-Series DB? I doubt if Time-Series DB really satisfies the need of "Event sourcing" such as single/multiple column(s) aggregation, etc.
Similar to this, I was looking for some inspiration about a landing page, I've found the top 1000 SaaS (https://saas1000.com/) with some data about them: Location, employees, 6 month growth and if they have some investisors.
We use pepperreport.io to track our releases or infrastructure deployments. It also gave us metrics about performances. Basically it call their API with our release name.
This year I'm going to release a SaaS. I've already create many website and saas, but the last one was 5 years ago, and all of them have mitigate results.
Actually I'm working on it since August 2018, reading many many article and youtube videos on how to launch a SaaS product. So maybe this project will be ok.
I'm working on a service to identify underperforming releases of applications (by monitoring their speed and behaviors). It's an issue that is encountered in my current job when IT teams deliver many releases every day. I guess those reports will sound bad for some IT guys so I've call it PepperReport(.io)
