"Renato Losio: In this session today, we are going to chat about platform engineering patterns for scalable software delivery. I would like to give a couple of words about today's topic, platform engineering patterns. Today we won't discuss directly AI, but as our software systems grow in complexity, engineering organizations tend to adopt platform engineering. We would like to understand why, and what does it take to architect a successful IDP, internal developer platform?"
"Before joining SIXT, I spent about 12 years in different startups, and this is when I first got in touch with platform engineering. Over at SIXT, we are now on the 10th year of our platform engineering journey. We have about 40 platform engineers who are supporting a tech team of 800 across our backend, mobile, web, data, and back-office platforms."
Platform engineering centralizes common tooling, automation, and developer experience to reduce cognitive load and increase deployment frequency. Internal developer platforms (IDPs) consist of core components: developer interfaces, governance policies, self-service infrastructure, and observability. Platform teams balance product thinking with operational responsibilities and collaborate closely with developer teams. Success metrics include lead time, deployment frequency, reliability, and developer satisfaction. Effective platforms evolve via iterative feedback, clear ownership, and documented patterns. Pitfalls include over-centralization, unclear boundaries, and failing to measure developer outcomes.
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