NetXMS x64
NetXMS is an open-source network management and monitoring system ... Monitoring agents collect information from managed systems, using NetXMS agents or SNMP agents, and send it to ...
NetXMS 2.0.6
Open-source monitoring for IT infrastructureNetXMS is an open-source network management and monitoring system for administrators overseeing networks, servers, databases and business applications. Agents or SNMP collect information and deliver it to a central server for processing and storage. Administrators use a client application or web interface to review performance data, events and alerts. Automated discovery, reporting, graphing and business impact analysis support monitoring across distributed infrastructure.
NetXMS 2.0.6 details
| Author: | Victor Kirhenshtein |
| License: | Open Source |
| Price: | FREE |
| Released: | Sep 7, 2016 |
| File size: | 23.80 MB |
| Downloads: | 392 |
| Keywords: | NetXMS, monitor, it infrastructure monitoring, SNMP, Victor Kirhenshtein, network monitoring system, Windows 10 compatible, database monitor, server monitor, server, snmp monitoring software, network discovery software, network monitoring, server monitoring tool, database, IT infrastructure monitor, open source network management, open-source software, infrastructure, x64 architecture |
| Author URL: | http://www.netxms.org/ |
NetXMS Awards
NetXMS for Windows 10 - Full description
NetXMS is an open-source network management and monitoring system for administrators responsible for networks, servers, databases and business applications. It brings monitoring and management of different parts of an IT environment into one platform, helping teams collect operational data, track events and respond to problems across infrastructure layers. Its multi-platform design supports monitoring environments made up of varied devices and systems.
The system uses a three-tier architecture. Monitoring agents, including NetXMS agents or SNMP agents, collect information from devices and systems and send it to a central monitoring server for processing and storage. Administrators can then access collected data through a rich client application or a web interface. This separation of collection, server-side processing and user access supports distributed monitoring across networks rather than requiring every device to be managed from a single local connection.
Automated network discovery helps identify infrastructure for monitoring, while event processing rules let administrators handle incoming events and configure alerts around operational conditions. Performance monitoring, graphing and reporting make it possible to review current and historical data, spot changes and share findings. Business impact analysis tools help relate technical issues to affected services or applications, giving teams more context when prioritizing incidents. The platform also includes tools for event management and integration with related products.
NetXMS is suited to organizations that need centralized visibility across distributed networks and multiple infrastructure layers. Network administrators can use it to monitor device health, examine performance trends, receive alerts and investigate events; operations teams can use the collected information to support servers, databases and business applications. Its scalability focus and flexible configuration are intended for environments ranging from smaller deployments to more extensive infrastructure, with deployment designed to require minimal configuration effort.
NetXMS is open source and is built as a multi-platform system, with native support for many popular operating systems and platforms. The monitoring server, agents and access interfaces have distinct roles, so the Windows program is part of a broader monitoring environment rather than a standalone utility for checking one computer. A deployment requires monitored devices or systems to provide data through an agent or SNMP, along with a server to process and retain that information. Administrators can use either the client application or web interface to work with the resulting monitoring data.