How to measure Software Delivery maturity.
Measure the system, not the teams. What to look at first and which metrics start to lie when used as targets.
This article is sample content with the length and rhythm of a real piece.
The usual confusion is treating infrastructure as if it were a platform. A running cluster answers where software executes. A platform answers how a team gets there without asking permission or opening a ticket.
The difference shows in the contract. A platform states what it guarantees, what it does not, and who answers for each part.
The second symptom is ownership. If nobody can say no to a request, the platform becomes the sum of last quarter’s urgencies.
The test is simple: if the team that built it disappeared tomorrow, would it keep running and evolving? If the answer is no, there is no installed capability yet.
Keep reading
Why running Kubernetes does not mean you have Platform Engineering
A cluster is infrastructure. A platform is an internal product with users, a contract and a lifecycle.
DevOps vs Platform Engineering: where does an internal platform actually begin?
These are not successive trends. They are two layers of the same problem, and confusing them is expensive.