GetGo cuts bug hunts with Datadog monitoring platform

GetGo has adopted Datadog's monitoring platform across its car-sharing service, giving the Singapore operator visibility across its technology systems.

The deployment has reduced bug investigation time by 50 to 60 per cent and cut issue detection and resolution times by 30 to 40 per cent, according to GetGo. The company runs more than 3,000 vehicles across 1,700 locations in Singapore through its mobile app.

The move came as GetGo's engineering environment became harder to manage during a period of rapid growth. Its cloud-native microservices platform supports both iOS and Android applications, increasing the number of systems engineers must monitor at once.

Before the change, GetGo's monitoring tools were spread across different systems. As a result, engineering teams had to piece together data manually when problems emerged, slowing root-cause analysis and adding to operational work.

The business also had limited real-time insight into how customers experienced its mobile app. That meant teams took longer to identify faults affecting user sessions and application behaviour.

GetGo has now consolidated application monitoring, infrastructure monitoring, dashboards, log management, real user monitoring and software analysis on one platform, according to Datadog. The shift has reduced context switching for engineers and given the car-sharing operator a broader view of service performance.

Real user monitoring has been one of the most important additions for the business, GetGo said. The tool has given teams direct visibility into user sessions, customer journeys and behavioural patterns that were previously difficult to track.

That is significant for a car-sharing service that relies on a mobile app to manage bookings, access vehicles and support customer journeys from start to finish. Any service interruption or undetected software issue can affect customer trust and day-to-day operations.

"As a company built on delivering seamless, on-demand mobility, blind spots have a direct impact on user trust and retention," said Kirivarnan Kumarasamy, Director of Engineering at GetGo. "Datadog brought our entire platform into view and enabled our teams to move from reactive troubleshooting to proactive, confident engineering."

Every engineering team now uses the system for monitoring and troubleshooting, GetGo said. Earlier alerts have also helped staff deal with incidents before they cause significant disruption for customers.

"Datadog has fundamentally changed how our teams operate. Every engineering team now relies on it as the backbone of their monitoring, troubleshooting and reliability operations," Kumarasamy said. "We can detect and resolve incidents before they significantly impact customers, giving our engineers the confidence to move quickly without compromising reliability and supporting both our day-to-day performance and longer-term ambitions."

Growth plans

The operational improvements are helping engineers spend less time investigating faults and more time on product development, according to GetGo. The company linked that shift to broader plans to grow its service and prepare for entry into markets outside Singapore.

Executives also said the data generated by the system is informing decisions on system performance, scaling and investment priorities. For a business built around vehicle availability and app reliability, those metrics are becoming more important as usage expands.

"The rich metrics and insights generated through the Datadog platform allow our teams and leadership to make more informed decisions about performance optimisations, scaling and future investments," said Kumarasamy. "We went from reacting to problems to engineering ahead of them, and Datadog made that possible. The confidence that full visibility into our platform provides is what will help us scale and expand into new markets."

Wider push

GetGo is also examining Datadog tools for AI-assisted log analysis, monitoring and security as part of its next phase of operational development. The company said those tools could improve engineering productivity, support more personalised services and strengthen oversight as the platform expands.

Datadog framed the project as an example of how transport and mobility businesses are placing greater emphasis on software reliability as digital platforms become central to urban travel. Unified visibility across applications, infrastructure and user activity is becoming increasingly important for operators that rely on mobile services for customer access and transactions, it said.

"As car-sharing becomes an increasingly critical part of urban mobility infrastructure, the stakes for platform reliability have never been higher. 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," said Adrian Towsey, Vice President of Commercial Sales for Asia-Pacific and Japan at Datadog. "With that foundation now in place, GetGo teams can dedicate more time to building and innovation while upholding the seamless mobility experience customers depend on."