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How did John Mosquera's solution address the challenge of maintaining consistency in Datadog monitoring across different teams?
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John Mosquera addressed the challenge of maintaining consistency in Datadog monitoring across different teams through a multi-faceted approach. He first conducted workshops with stakeholders from various teams to establish standardized metrics and alert thresholds. This collaborative process ensured buy-in from all parties and created a unified monitoring strategy. The agreed-upon standards were then codified in a shared configuration file stored in Git, serving as a single source of truth for all monitoring setups. By using this centralized configuration in conjunction with Terraform modules and Python scripts, the solution ensured that all Datadog monitors were created with consistent parameters, regardless of which team was responsible for a particular service. This approach eliminated discrepancies between teams and reduced the likelihood of inconsistent alerting due to human error or differing practices. John's solution maintained monitoring consistency across teams by establishing standardized metrics through collaborative workshops, codifying them in a shared Git-stored configuration, and using this centralized source for all automated monitor creations, ensuring uniform alerting practices throughout the organization.