Mobile applications are now the primary customer touchpoint for many businesses. Unlike browser applications, performance issues in mobile apps do not just impact a single session – they also influence store visibility, user retention, and long-term growth. With app stores surfacing stability signals such as crashes and ANRs, performance is directly tied to revenue, discoverability, and user trust across both iOS and Android. Yet, most teams still manage testing, production monitoring, and code-level debugging in silos.

In this session, we are joined by Tyler Jago from The New York Times, who will share how their team uses Datadog Mobile RUM to unify cross-team visibility across their mobile and web surfaces, investigate real user issues at scale, and connect mobile performance directly to business outcomes.

Datadog is partnering directly with the Android team to bring platform native profiling into production using the Android ProfilingManager API, aligning our visibility with the same system level signals that power Android itself. This elevates code level performance as a first-class part of real user experience, enabling teams to connect Android Vitals with full production RUM data and root cause analysis.

With Datadog, teams have a unified view of mobile performance between platform stability signals, real user behavior and code-level insights. With that visibility, they can investigate faster, improve stability, support compliance requirements and protect long-term growth.