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How did John Mosquera's solution improve the consistency of alert thresholds across different teams?
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John Mosquera's solution improved the consistency of alert thresholds across different teams through several mechanisms. First, he conducted workshops with stakeholders from various teams to agree on standardized metrics and alert thresholds. This collaborative process ensured that all teams were aligned on what constituted critical thresholds for different services and applications. 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 thresholds, 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 improved alert threshold consistency 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 across teams.