GetGo, Singapore’s leading carsharing service, has significantly improved its operational efficiency and reliability by integrating Datadog’s observability platform. This strategic move has enabled GetGo to achieve full-stack observability, reducing bug investigation time by 50-60% and cutting issue detection and resolution time by 30-40%.
With a fleet of over 3,000 vehicles across 1,700 locations, GetGo relies heavily on its mobile platform to provide seamless, on-demand mobility. The deployment of Datadog has allowed GetGo to unify monitoring across its entire platform, offering real-time visibility into mobile user experiences. This has empowered engineering teams to identify and resolve issues proactively, enhancing user trust and retention.
Kirivarnan Kumarasamy, Director of Engineering at GetGo, stated, “Datadog brought our entire platform into view and enabled our teams to move from reactive troubleshooting to proactive, confident engineering.” The integration of Datadog’s comprehensive suite of capabilities, including Application Performance Monitoring and Real User Monitoring, has streamlined operations and reduced context switching for engineers.
Looking forward, GetGo plans to explore Datadog’s AI-augmented capabilities to further boost engineering productivity and support its expansion beyond Singapore. Adrian Towsey, Vice President of Commercial Sales for Asia-Pacific and Japan at Datadog, noted, “GetGo’s ability to scale confidently and expand into new markets rests on having complete and unified visibility into every layer of its technology stack.”
As carsharing becomes an integral part of urban mobility, GetGo’s enhanced platform reliability positions it well for future growth and market expansion.
