IPNetwork Monitor LLC, which builds self-hosted monitoring software for servers, workstations, network equipment, and web applications, has launched a significant platform update centered on database visibility, a simpler migration path from other monitoring tools, and AI-supported administration. The update is aimed at organizations and service providers that want modern monitoring across mixed IT environments while keeping infrastructure data fully within their own control.

The company describes the release as part of a continued effort to cut the manual configuration and specialist knowledge that monitoring deployments typically require, without sending sensitive operational data through third-party cloud infrastructure.

Direct PostgreSQL Monitoring Built Into the Platform

The standout feature in this update is direct, built-in monitoring for PostgreSQL databases. The software connects to database servers using standard PostgreSQL client libraries and gathers health and performance data independently, with no custom scripts, external agents, or plug-ins required.

A dedicated database server template lets administrators monitor connection counts, query performance, replication status, and resource usage from the same interface used for the rest of their infrastructure. Folding database monitoring into that unified view helps teams catch and resolve problems faster, without running a separate monitoring system just for their databases.

A Simpler Route Away From Zabbix

This update also solves a common problem for teams switching monitoring platforms: migrating away from Zabbix. Administrators can now import Zabbix templates directly into the monitoring client, avoiding the manual XML editing or third-party conversion tools that migration once required.

That makes it considerably easier for organizations leaving Zabbix, or running it alongside IPNetwork Monitor during a transition period, to bring over existing template libraries with minimal extra work. Imported templates can be reused or adjusted for comparable devices and services, reducing the time it takes to achieve full monitoring coverage in a new setup.

Improved Discovery and an Expanded Template Library

Automatic network discovery now recognizes a wider range of common devices, including printers, routers, switches, firewalls, and UPS units. As soon as an SNMP-enabled device appears on the network, the matching template is applied automatically, so it starts reporting useful metrics without manual configuration.

The template library has also grown, with new coverage for recent versions of database servers, web servers, directory services, and other core infrastructure components. Template inheritance is more flexible as well, letting templates be renamed and split into variants for different application versions, a useful capability for organizations maintaining consistent monitoring across multiple software releases.

Built to Handle Larger Monitoring Loads

For deployments with a high number of active monitors, the monitoring service has been tuned to improve polling performance. This keeps data collection stable and timely as the monitored environment grows, an improvement especially useful for service providers and organizations scaling their infrastructure.

AI-Assisted Administration That Stays On-Premises

Building on the platform's earlier MCP server rollout, this update continues to give AI assistants and developer tools access to the on-premises monitoring environment. Through a compatible AI client or IDE integration, administrators can perform routine work using natural language, including adding or updating hosts and monitors, adjusting alert rules and schedules, checking current or historical status, and generating reports.

Because the integration is designed to run in restricted or fully air-gapped networks, monitoring data never has to leave the customer's own infrastructure, even as teams gain access to AI-assisted automation. This gives security-conscious organizations a practical way to move from manual monitoring toward AI-supported operations without adding outside dependencies or exposing telemetry to third-party providers.

"Our customers want modern, AI-assisted workflows, but not at the cost of handing their monitoring data to someone else's cloud," said Howard Clark, Software Engineer at IPNetwork Monitor LLC. "This release is about removing friction, native database monitoring, easier migration from Zabbix, and automatic discovery, while keeping everything under the customer's own control."

About IPNetwork Monitor

IPNetwork Monitor is a self-hosted monitoring platform designed for teams that need full ownership of their infrastructure data. It covers servers, workstations, network devices, and web applications through a flexible, easy-to-manage interface, and supports more than 40 monitoring protocols, including SNMP, WMI, PING, TCP, UDP, HTTPS checks, database polling, mail server checks, system resource monitoring, bandwidth measurement, and SSH script execution.

The update is available now for Windows and can be downloaded from the IPNetwork Monitor website https://ipnetwork-monitor.com/download.html.