Olo, helping over 600 restaurant brands scale online ordering, delivery, guest engagement, and digital payments—reaching 85 million guests across 78,000 locations and processing over two million daily orders—improved application throughput and database query times using Datadog Continuous Profiler. After shifting to an API-first approach from monolithic architecture, unexplained performance declines emerged, but Datadog accelerated MTTR by enabling deep code-level performance analysis. As Staff Engineer Mike Clark noted, it allowed quick issue identification and fixes for optimal restaurant platform efficiency.

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