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Kubirds[0], a Cloud Native Supervision Engine.
In the Cloud, monitoring and supervision is all about metric collection and analysis. The good old days of alerting (with tools like Nagios, Icinga, Zabbix, ...) seems to have been forgotten.
IMHO, numbers (metrics) are good for machines, not humans. Alerts provide a very simple way of detecting what's wrong. This is why CI/CD tools have a "Green/Red" status for their pipelines (hello Jenkins, Github Actions, Gitlab CI, ...) and you could build "weather dashboard"[1] representing the current state of your infrastructure.
I (and many coworkers at the time) found that scaling a Nagios or equivalent is unnecessarily hard/complicated. You basically have to maintain 2 infrastructures, your production and your monitoring. It takes time and energy.
Kubirds is a solution for this. It is a Kubernetes Operator, built upon TektonCD[2], so your monitoring will scale along your Kubernetes Cluster. It provides alerting with 4 states (success, failure, regression, fixed) and notifications in a Plug'N'Play way. You put your supervision workload in Docker images, write some simple Kubernetes resources and voila! Your supervision is up and running.
This implies that supervision can (and is) more than just monitoring. Everything that must be run periodically and whose status is something you care about, is a supervision workload.
We are currently using it to run our monitoring infrastructure, and to build a trading bot (not for crypto) with a partner. And possibly other use cases in the future[3].
[0] - https://kubirds.com
[1] - https://kubirds.com/img/screenshots/dashboard-weather.png
[2] - https://tekton.dev
