The Platform Engineering Trap
You build a shiny new Internal Developer Platform (IDP). You create golden paths for deployment, set up self-service databases, and write beautiful documentation.
But how do you know if any of it is actually helping?
Are developers shipping faster? Are production incidents decreasing? Are developers happier, or are they just frustrated by a new set of tools they are forced to use?
Without data, platform engineering is just guessing. And guessing is expensive — platform teams are costly to run, and leadership will eventually ask for proof of return on investment. Metrics are how you make that case.
The Three Lenses of Metrics
No single metric tells the whole story. A team can look great on one dimension while quietly failing on another. To get a complete picture of platform success, you need to look through three different lenses simultaneously:
- Software Delivery Performance (DORA): Are we shipping software faster and more reliably as a result of the platform?
- Developer Productivity & Well-being (SPACE): Are developers efficient, and more importantly, are they satisfied and not burning out?
- Platform Product Viability (Adoption): Are internal customers actually choosing to use the platform we built, or are they working around it?
Think of it like evaluating a hospital. DORA is the patient outcome data — are people getting better? SPACE is the staff survey — are the doctors and nurses able to do their best work? Adoption is the occupancy rate — are patients choosing this hospital over the one across town?
You need all three to know if the hospital is actually working.