Z-Rays provides an AI-driven monitoring solution for mainframe computers that collects and analyzes performance data in real-time from various sources, including RMF Records and SMF. This tool enables mainframe administrators to detect early-stage issues and predict resource exhaustion, significantly reducing troubleshooting time and improving system efficiency.
Funding
$304.7K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mainframe administrators face challenges in comprehensively monitoring IT systems due to the increasing complexity of systems and the overwhelming volume of data generated. Traditional monitoring processes often involve manual analytics, outdated reporting, and a lack of specialized expertise, leading to delayed problem detection and inefficient resource utilization.
Solution
Z-Rays offers an AI-driven monitoring solution for z/OS mainframe environments that automates the collection, analysis, and presentation of performance data. By gathering data from multiple sources, including RMF Records, SMF, Syslog, Security Logs, and SQLs, Z-Rays provides a holistic view of system performance in near real-time. The platform employs machine learning algorithms to detect early-stage issues, predict anomalies and resource exhaustion, and generate alerts, enabling proactive problem resolution. Z-Rays integrates with leading analytics platforms, offering a centralized operational cockpit with customizable dashboards and drill-down capabilities.
Target Audience
The primary target audience includes mainframe administrators and IT operations teams in large infrastructures who need to automate monitoring, improve system performance, and reduce troubleshooting times.
Features
- Real-time data collection from multiple z/OS sources (RMF, SMF, Syslog, Security Log, SQLs)
- AI-powered anomaly detection and predictive alerting for proactive issue resolution
- Integration with Elastic Stack, Dynatrace, and other leading monitoring tools
- Customizable web-based interface with interactive dashboards and drill-down capabilities
- Automated monitoring with smart rules, alarms, and embedded expert knowledge
- Non-invasive monitoring with optimized resource usage (zIIP processors)
- JSON-formatted output for integration with various analytics platforms