Many companies turn to platform engineering to help scale their development teams and increase developer experience for engineer efficiency. Platform engineering typically stops at the CI/CD pipeline, but as systems grow more complex, a shift to platforms at the code level is crucial. This higher-level approach creates abstractions to simplify software development, reduce cognitive load, and facilitate maintenance, upgrades, and vulnerability fixes.
Large, complex systems hinder innovation and agility by overwhelming developers with numerous concerns. This cognitive overload slows down development and adaptation. Transitioning to a Platform as a Runtime model can address these challenges, reduce the microservices footprint, and cut costs by managing a single platform version separately from business microservices.
#platform-engineering #development-efficiency #organizational-scalability #cost-reduction #software-architecture
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