Automating Enterprise Analytics Infrastructure with Infrastructure-as-Code

An enterprise analytics engineering team was managing hundreds of Looker assets manually across projects, models, permissions, roles, folders, and access configurations. As adoption expanded across business domains and environments, manual administration became increasingly difficult to scale and maintain consistently. 

Anblicks developed LookerCTL, a Python-based Infrastructure-as-Code framework that uses declarative YAML configurations and the Looker SDK to automate provisioning, validation, deployment, and management of Looker resources. The framework introduced repeatable deployments, centralized configuration, and CI/CD integration, reducing project provisioning from approximately 0.75 FTE of manual effort to less than 5 minutes.