Case Study: Mangomint speeds up development cycles with Dashbird

A Dashbird Case Study

Preview of the Mangomint Case Study

Mangomint significantly sped up team processes and development cycles

Mangomint, a salon and spa management and booking platform, needed better visibility into its AWS Lambda-based serverless workloads. As its payment-processing data flows grew more complex, the team was spending too much time digging through CloudWatch logs to find and understand Lambda errors, and they wanted a fast, low-effort monitoring solution that would alert them only when issues really mattered.

With Dashbird, Mangomint’s serverless team added AWS Lambda and SQS observability, in-app analytics, and ETL monitoring, plus Slack notifications for critical alerts. Dashbird helped them set custom thresholds, reduced alert noise, and gave the team enough context to act immediately; as a result, Mangomint says its mean time to detect/respond dropped from hours to seconds, while giving the team greater confidence and peace of mind.


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Mangomint

Daniel Lang

Chief executive officer and co-founder


Dashbird

8 Case Studies