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How did the solution improve the consistency of alert thresholds across the client's organization?
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The solution improved the consistency of alert thresholds across the client's organization through several mechanisms. Workshops were conducted 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. The centralized nature of the configuration also made it easier to update thresholds across the entire infrastructure simultaneously when needed. The 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, ensuring uniform alerting practices and easy updates across the entire organization.