Opvizor

Opvizor provides performance monitoring and capacity forecasting across VMware, Azure and AWS, applying machine learning to root cause analysis and resource prediction.

Its most pointed claim is AI anomaly detection with no false positives, and the emphasis is well placed. Anomaly detection is easy to build and almost always useless in practice, because a system flagging every deviation trains its operators to ignore it within a fortnight, at which point the real anomaly arrives and goes unread alongside the noise.

The AIOps set is coherent rather than assembled: machine learning root cause diagnostics, AI-generated resource forecasting with cost optimisation, AI-interpreted alerting that explains what an alert means rather than only firing it, and MCP-guided helpdesk automation. Model Context Protocol support is genuinely forward looking for an infrastructure tool, letting an organisation's own AI agents query monitoring data directly rather than through a dashboard a person has to read.

The functional base covers metrics monitoring, log analysis, resource management and forecasting, and both cloud and on-premises deployment, with maintenance built in, single sign-on and infrastructure and application extensions. Including maintenance rather than selling it separately suits smaller teams who cannot absorb a monitoring platform's own upkeep. Pricing is published transparently, starting at 550 dollars per year.