If you dig down to the bottom of it, you’ll find that Observability will eat up any budget allocated to it and then some. That’s because the need for more Observability is rarely rooted in engineering needs. It is in fact coming from a much more primal place: the fear of the unknown. This is why Observability is a huge cost driver, growing year over year, and tremendously hard to optimize. Because anything you cut away will be quickly replaced by new data points.

The irony is that over 95% of the data is never used. Engineers are collecting and storing it out of FOMO – the fear of missing out on logs and other Observability pillars that may be useful one day. Dynamic Observability is how you can turn it around on its head.