IPNetwork Monitor LLC, which develops self-hosted monitoring software for servers, workstations, network equipment, and web applications, has released a significant update centered on database visibility, an easier migration path from other monitoring tools, and AI-supported administration. The release is intended for organizations and service providers that want to bring current monitoring capabilities into mixed IT environments while keeping their infrastructure data entirely under their own control.

The company positions the update as part of an ongoing effort to reduce the amount of manual configuration and specialist knowledge that monitoring deployments typically require, without routing sensitive operational data through third-party cloud infrastructure.

Native PostgreSQL Monitoring, No Extra Components Needed

The most notable addition in this release is direct, built-in monitoring for PostgreSQL databases. The software connects to database servers using standard PostgreSQL client libraries and collects health and performance data on its own, without the need for custom scripts, external agents, or additional plug-ins.

A dedicated database server template allows administrators to keep an eye on metrics such as connection counts, query performance, replication status, and resource usage from the same interface used to monitor the rest of their infrastructure. Bringing database monitoring into that unified view helps teams identify and resolve problems more quickly, without the effort of running a separate monitoring system just for their databases.

A Smoother Path Off Zabbix

This release also addresses a common pain point for teams switching monitoring platforms: migrating away from Zabbix. Administrators can now import Zabbix templates directly into the monitoring client, bypassing the manual XML editing or third-party conversion tools that migration previously demanded.

That change makes it much simpler for organizations leaving Zabbix, or running it alongside IPNetwork Monitor during a transition, to bring over their existing template libraries with minimal extra work. Imported templates can then be reused or adjusted for comparable devices and services, reducing the time needed to get full monitoring coverage running in a new setup.

Sharper Discovery and a Broader Set of Templates

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

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

Optimized 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 helps keep data collection stable and timely as the monitored environment grows, an improvement especially relevant to service providers and organizations scaling up their infrastructure.

AI-Assisted Operations That Stay In-House

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 carry out routine work using natural language, including adding or updating hosts and monitors, adjusting alert rules and schedules, checking current or historical status, and pulling reports.

Because the integration is built 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. Documentation and release notes are available at https://ipnetwork-monitor.com/release-notes.html.