The most valuable features of ITRS Geneos, according to the reviews, include:
- its power as an application monitoring tool
- its stability and ease of use
- its configurability
- its active time feature for trading applications
- its provision of real-time data
- the flexible dashboard
- the ability to support custom scripts and monitoring needs
- its broad scope and ability to cover various use cases
- its capacity for customization
Users appreciate that ITRS Geneos allows them to monitor, self-configure, and manage alerts in real-time without needing to log into the server. They also find its stability and ease of use particularly valuable, especially during disaster recovery situations.
The solution's customizability and ability to run on machines with limited resources are seen as major advantages. The active time feature, real-time monitoring, and proactive approach to alerting are highly praised.
The ITRS Geneos monitoring solution needs improvement in several areas. One area that requires attention is the cloud monitoring capability, as it is not capable of meeting the latest technology needs and lacks the ability to expose data to the outside world. The solution should provide more API offerings and improve documentation and instructional videos for monitoring configuration and deployment.
Another area for improvement is in prediction and prevention capabilities, where the solution should evolve to incorporate artificial intelligence-based monitoring. AI-based monitoring tools such as Dynatrace offer better predictive capabilities and analysis.
Additionally, the solution should develop a mobile app for easy accessibility and visibility of alerts and error messages. The capacity for message forecasting should also be increased.
In terms of data collection, ITRS Geneos is not as lightweight as other solutions like AppDynamics and Dynatrace, and its dashboard capabilities need updating.
The solution should improve observability based on historical model data and enhance the dashboard rendering to fit different screen sizes automatically. It should provide a mobile app for monitoring dashboards and be available as a containerized module for easier setup on platforms like Kubernetes. Tracing capabilities on the application side would also be beneficial for identifying delays in application performance.
Automation of the deployment method for upgrades and intelligent analysis of log files using AI would be valuable additions.