I hear all of the cost savings benefit, but I never see the team factoring in their own time (and others time) needed to set up and maintain these systems reliably long term.
Something IC’s at company often struggle to understand is the reason why companies often prefer to buy managed solutions even when “free” alternatives exist (read: the free alternatives are also expensive, just a different type of cost)
Using an open source self hosted solution should be the industry standard, encouraged position, by default. Our industry does not gain overall from using DataDog but only from truly open source solutions that utilized AGPL licenses that allows everyone to move forward together + share lessons together + contribute together toward a common goal of better observability.
Why are we acting like it's hard to set up? This isn't the 1990s, it's 2026. Tooling has gotten quite good over the last decade.
Also corporations stupidly spend money all the time, they over spend too. I recently left a company that was paying SalesForce $10mil a year in licenses when only 8 people in the entire 3,000 person company was using it. I doubt that was the only single instance across our industry too. There is a massive amount of waste and graft in enterprise sales.
I honestly doubt it if you replaced grafana for 10,000 DataDog customers they would notice the difference.
Because the current generation of “full stack” engineers are great at spinning up react apps, but struggle with infrastructure and systems management. It’s really not any more complicated than that.
On a typical 8 person engineering team, maybe 1 or 2 people will know how to deploy anything to the cloud if you’re lucky.
The expertise just isn’t there at most companies.