Obcerv AI
Obcerv AI by ITRS Group enhances IT observability with intelligent monitoring solutions for hybrid environments, reducing issues and improving performance.
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Description
Obcerv AI is a centralized machine learning engine developed by ITRS Labs, designed to enhance IT observability and operations. It integrates AIOps capabilities into ITRS' IT monitoring solutions, offering real-time monitoring support for on-premises, cloud, and SaaS deployments.
The key features of Obcerv AI focus on intelligent IT monitoring, including smart alerting, adaptive monitoring, and dynamic thresholds. This functionality helps to reduce false positives, alleviate alert fatigue, and proactively address IT issues. The engine aims to simplify AI adoption, improve operational efficiency, and ensure compliance with regulations.
Future developments for Obcerv AI will include assisted root cause analysis and monitoring of service-level indicators, further enhancing its capabilities in meeting complex IT monitoring needs across diverse sectors such as investment banking, service providers, and higher education.
Features
Centralized Machine Learning Engine
Obcerv AI serves as a centralized machine learning engine that enhances IT observability by integrating AIOps capabilities.
Real-Time Monitoring
Provides real-time monitoring support for on-premises, cloud, and SaaS deployments, ensuring comprehensive oversight across environments.
Smart Alerting
Employs smart alerting features to minimize false positives and reduce alert fatigue for IT teams.
Adaptive Monitoring
Uses adaptive monitoring to dynamically adjust thresholds based on the operational context, improving issue detection.
Compliance and Efficiency Improvements
Aims to improve operational efficiency and ensure compliance with industry regulations.
Tags
Documentation & Support
- Documentation
- Support
- Updates
- Online Support