10 July 2026, 01:45 PM
IPNetwork Monitor LLC, a developer of self-hosted monitoring software for servers, workstations, network equipment, and web applications, has delivered a major update focused on database visibility, a faster migration path away from other monitoring tools, and AI-supported administration. The release serves organizations and service providers that want current monitoring capabilities across mixed IT environments while keeping their infrastructure data entirely under their own control.
The company frames the update as part of an ongoing effort to reduce the manual configuration and specialist knowledge that monitoring deployments typically demand, without routing sensitive operational data through third-party cloud infrastructure.
Native PostgreSQL Monitoring Without Extra Components
The centerpiece of this release is direct, built-in monitoring for PostgreSQL databases. The software connects to database servers through standard PostgreSQL client libraries and collects health and performance data on its own, without custom scripts, external agents, or additional plug-ins.
A dedicated database server template gives administrators visibility into 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 running a separate monitoring system just for their databases.
A Quicker Path Off Zabbix
This release also addresses a common challenge 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 required.
That change makes it much easier 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 reach full monitoring coverage in a new deployment.
Enhanced Discovery and a Wider Template Library
Automatic network discovery now recognizes a broader 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 for Larger Monitoring Environments
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 Administration That Stays 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.
The company frames the update as part of an ongoing effort to reduce the manual configuration and specialist knowledge that monitoring deployments typically demand, without routing sensitive operational data through third-party cloud infrastructure.
Native PostgreSQL Monitoring Without Extra Components
The centerpiece of this release is direct, built-in monitoring for PostgreSQL databases. The software connects to database servers through standard PostgreSQL client libraries and collects health and performance data on its own, without custom scripts, external agents, or additional plug-ins.
A dedicated database server template gives administrators visibility into 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 running a separate monitoring system just for their databases.
A Quicker Path Off Zabbix
This release also addresses a common challenge 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 required.
That change makes it much easier 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 reach full monitoring coverage in a new deployment.
Enhanced Discovery and a Wider Template Library
Automatic network discovery now recognizes a broader 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 for Larger Monitoring Environments
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 Administration That Stays 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.