You'd be surprised how many serious tech shops have close to zero performance metrics collected and utilised.
I've done this in fintech a few times already and the best stack that worked from my experience was telegraf + influxdb + grafana.
There are many things you can get wrong with metrics collection (what you collect, how, units, how the data is stored, aggregated and eventually presented) and I learned about most of them the hard way.
However, when done right and covering all layers of your software execution stack this can be a game changer, both in terms of capacity planing/picking low hanging perf fruit and day to day operations.
Highly recommend giving it a try as the tools are free, mature and cover a wide spectrum of platforms and services.
I've done this in fintech a few times already and the best stack that worked from my experience was telegraf + influxdb + grafana. There are many things you can get wrong with metrics collection (what you collect, how, units, how the data is stored, aggregated and eventually presented) and I learned about most of them the hard way.
However, when done right and covering all layers of your software execution stack this can be a game changer, both in terms of capacity planing/picking low hanging perf fruit and day to day operations.
Highly recommend giving it a try as the tools are free, mature and cover a wide spectrum of platforms and services.