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How did John Mosquera ensure consistency and scalability in Datadog monitoring using Infrastructure as Code (IaC)?
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John used Terraform to define reusable modules for provisioning different types of Datadog monitors, ensuring a standardized approach. He introduced a shared configuration file in Git, allowing teams to define monitoring parameters while maintaining version control. Python scripts processed these configurations to dynamically generate Terraform variables, enabling flexibility. By testing in a sandbox environment before production deployment, he ensured reliability. This methodology enforced consistency, minimized errors, and allowed effortless scaling of monitoring infrastructure. Through Terraform and Python automation, John Mosquera established a scalable, version-controlled, and consistent monitoring framework in Datadog.