The Infrastructure Data Evolution: Moving from Point Solutions to Programmable Platforms

Over the last decade, IT leadership has focused on automating network operations through a Network Source of Truth (NSoT) to enhance agility and reduce human error, but as enterprise environments grow and diversify across multi-cloud fabrics, the traditional NSoT struggles to keep pace. Initially, network data was manually recorded in spreadsheets, leading to the development of centralized databases that could manage IP addresses and assets, but these systems have since evolved to include staging workflows and validation extensions to support modern demands. However, the limitations of SQL-based databases have become apparent in the face of high-velocity Infrastructure-as-Code workflows, prompting a shift towards programmable platforms like Infrahub, which offer flexible data models and graph-native architectures to accommodate complex infrastructure relationships. This shift is exemplified by Eurofiber, which reduced service deployment times significantly by adopting Infrahub, highlighting the need for a data model that represents the desired state rather than merely inventorying existing assets. As enterprises seek fully automated infrastructures, the distinction between traditional applications and native data platforms becomes crucial, with the latter providing a more adaptable and dynamic foundation that aligns with business needs and supports AI integration, ultimately setting a new standard for what a source of truth should be.

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