Increasing service and support efficiency and business satisfaction starts with predicting and avoiding downtime. EV Observe is a monitoring platform for network, IoT, IT infrastructure, cloud, and application monitoring that delivers an end-to-end service experience. We make it easy for organizations to embrace a proactive and predictive approach to service support, delivery, and observability, including collaborative self-help, self-healing, and comprehensive performance and availability insights.
This helps teams to focus on value delivery and innovation that drives business outcomes, resulting in higher employee engagement and a better customer experience, increased productivity, and improved resiliency.
Data Sheet
View real-time monitoring of your IT infrastructure, network, IoT, cloud and applications at lightning speed. Keep your managed assets up-to-date with no wasted time and no blind spots. Configure dynamic thresholds based on recommendations and reduce false positives by 30%. Never miss any alerts with multi-channel notifications and dashboards.
Take advantage of dependency mapping, root cause analysis, and interactive dashboards to help accelerate incident resolution. Thanks to the proactive monitoring of business indicators, activity peaks, seasonality of use and the intelligent mapping of dependencies of a complex system, you can identify the root cause of a service failure or downtime even more quickly and accurately.
The combination of EV Observe monitoring with EasyVista Service Manager platform takes your service continuity and support objectives to the next level. Incidents and problems are automatically created thanks to advanced alert correlation and algorithm technologies that ease the investigation work for your experts and engineers.
Market your IT business and service performance metrics with an embeddable IT Health Status widget.
Reduce on-call costs and ensure service availability by leveraging the power of Big Data and AIOps technologies. By identifying weak signals and their occurrences, it has never been easier to predict an incident in the next 15 hours.
