RTEAM

DataWatch911 delivers real time alerts as system demand increases, highlighting inefficiencies and other potential problems to prevent escalation. Pre-arrival notification allowing Emergency Departments (EDs) to prepare necessary resources and physicians to communicate with inbound patients. DataWatch911 provides EMS performance analytics to gauge the strengths of your staff, minimize workload imbalances and reduce burnout. DataWatch911 provides user-defined performance thresholds that trigger pre-defined alerts to warn when staff and resources are stretched too thin. Review, model, and analyze past response and incident data to support decision making, budgeting, equipment purchases and staffing levels.

Bridging observability with automated orchestration for self-managed, resilient applications at scale. Every second, huge volumes of data are generated by observability and monitoring tools, capturing metrics, logs, and traces about all aspects of complex, dynamic applications. Yet it’s still up to humans to troubleshoot and make sense of all this data. They are locked in a never-ending cycle of responding to alerts, identifying root causes, and determining the best action for remediation. The process hasn’t changed fundamentally in decades, and it’s still labor-intensive, reactive, and costly. Causely removes the need for human troubleshooting by capturing causality in software, closing the gap between observability and action. For the first time, the entire lifecycle of detection, root cause analysis, and remediation of defects in applications is fully automated. With Causely, defects are identified and resolved in real-time, so applications can scale with high performance.