Observing the data lifecycle with Datadog

Businesses are increasingly using data to create value and serve customers through applications such as training LLMs, creating targeted ads, delivering personalized recommendations, implementing machine learning–based analytics, and building dashboards to improve decision-making. However, the complexity of systems that process and deliver data makes it difficult to gain complete visibility and ensure both pipeline efficiency and data quality. Datadog's suite of solutions, including Data Streams Monitoring (DSM) and Data Jobs Monitoring (DJM), enables teams to monitor the data lifecycle from end to end, providing insights that help data teams understand how their data pipelines are performing, as well as the data itself. These tools allow for monitoring not only the data but also the systems producing it, including streaming data pipelines, data jobs, and data stored in warehouses or cloud storage. By using Datadog's solutions, teams can quickly identify when data is missing, late, or bad, troubleshoot issues effectively, and gain full end-to-end visibility into their data's health at every stage of the process.