OutSystems Analytics para monitoramento de performance de agentes e aplicações

OutSystems integrates with existing APM tools by streaming open telemetry standard logs, traces and metrics into external monitoring platforms such as New Relic, Splunk, Dynatrace, and AppDynamics. This lets teams keep their current centralized observability stack while monitoring OutSystems applications alongside the rest of their enterprise systems.

Log streaming sends application and platform logs from OutSystems to an external observability or monitoring tool. It helps teams analyze errors, performance events, security activity, and operational behavior in near real time. With log streaming, organizations can centralize monitoring data and investigate issues using their preferred tools.

OutSystems provides out-of-the-box app and agent performance metrics such as response times, request volume, errors, slow queries, and server activity (user activity, drill-down to each app element, app health / Apdex). These metrics help teams identify bottlenecks, troubleshoot issues, and understand how applications behave in production without needing to build custom monitoring from scratch.

Yes. OutSystems supports app and agent monitoring and standard open telemetry standard tracing across client-side and server-side activity, helping teams understand the full path of a user interaction. This end-to-end visibility makes it easier to diagnose slow screens, backend service issues, integration delays, and performance problems that affect the user experience.

OutSystems includes built-in app and agent analytics that help teams understand application and agent usage, adoption, performance, and operational behavior. These analytics tools provide visibility into how software is running and how users interact with them, while also allowing teams to extend reporting through external BI or monitoring systems when needed.

Yes. OutSystems can track application and agent usage, including geographical distribution of users, errors, overall end-user response time, access frequency, and the areas of an app that are most active. This helps teams measure adoption, identify underused functionality, improve user experience, and prioritize future enhancements based on real usage patterns.

Yes. OutSystems supports extracting analytics via open telemetry streaming, and operational data for use in external reporting tools, BI platforms, or custom dashboards. This allows teams to combine application data with other enterprise metrics, create tailored reports, and maintain centralized visibility across business, performance, and user adoption trends.

OutSystems provides APIs and platform services in O11 that allow teams to access performance, usage, and analytics data programmatically. These can support custom dashboards, external reporting, operational workflows, or integration with observability tools. The available approach depends on the data type, deployment model, and reporting requirements.

Analytics data retention depends on the OutSystems environment, configuration, and deployment model. Teams should confirm retention requirements based on their reporting, compliance, and operational needs. For long-term app and agent data analysis, organizations can export or stream relevant metrics into external analytics, BI, or observability platforms.