As the amount of data Grab handles grows, there is an increased need for quick detections for data anomalies (incompleteness or inaccuracy), while keeping it secure. Read this to learn how the Risk Data team utilised Flink and Datadog to enhance data observability within Grab’s services.

Grab is a leading technology company in Southeast Asia, offering a wide range of services, including ride-hailing, food delivery, and digital payments. Through its platform, Grab provides convenience, accessibility, and reliability to millions of users across the region. From their blog developers can learn from Grab's innovative approach to technology and business, gaining insights into building scalable, customer-centric platforms that address real-world challenges and improve people's lives.

Grab Tech Blog

Ensuring data reliability and observability in risk systems is crucial for fraud detection and prevention. Data observability provides visibility and alerts for data quality issues. Flink is used for real-time computations at scale, while Datadog is used for comprehensive monitoring and alerts.

Ensuring data reliability and observability in risk systems

Utilising Flink for real-time computations at scale

Organising monitors and alerts using out-of-the-box solutions from Datadog